Jama Software is always looking for news that would benefit and inform our industry partners. As such, we’ve curated a series of customer and industry spotlight articles that we found insightful. In this blog post, we share an article from Bosch, titled “Bosch and the chiplet revolution: Enabling software-defined mobility”, written by Michael Budde, President of Bosch Mobility Electronics.

Bosch and the chiplet revolution: Enabling software-defined mobility

The shift to software-defined mobility demands an unprecedented level of computational power, flexibility, and scalability as OEMs seek to develop software-based approaches to vehicle functionality and user experience.

While powerful, traditional System-on-Chips (SoCs) are reaching their technical limits in this evolving landscape. The sheer complexity of integrating multiple functions onto a single chip is becoming increasingly challenging – making development cycles longer, increasing costs, and reducing flexibility for future upgrades.

At Bosch, we see chiplet technology not only as technical innovation, but also as a potential breakthrough for software-defined mobility. – Michael Budde, President of Bosch Mobility Electronics

Chiplets: A modular solution for software-defined vehicles

With modular components that can be perfectly tailored for specific automotive applications, chiplets are emerging as a game-changer that can replace large, inflexible semiconductors. However, without common standards, the true benefits of chiplets cannot be fully realized as they risk remaining locked behind proprietary silos.

At Bosch, we’ve recognized that pursuing an open ecosystem for chiplet technology is critical for the advancement of software-defined mobility. This is reflected in our active involvement in several collaborative initiatives with major actors from industry and research.

Building an open ecosystem for automotive chiplets

Most recently, Bosch has taken a leading role in the CHASSIS initiative – which stands for Chiplet-based Architectures for Software-Defined Vehicles. With funding from the European CHIPS Joint Undertaking (CHIPS JU), the three-year project brings together multiple heavyweights from the European automotive, semiconductor, and software industries, as well as major research institutions. With strong partners like BMW, Renault, Stellantis, and many others, CHASSIS marks a clear milestone toward building the universal standards that will make chiplet technology viable for automotive applications. By establishing joint standards and fostering multi-vendor interoperability, CHASSIS lays the foundation for a scalable and sovereign chiplet ecosystem in Europe.

The transformative benefits of chiplets

While automotive chiplet technology is still in the early stages of development, there is no question that chiplets offer several major advantages for software-defined vehicles (SdVs) – first and foremost modularity and flexibility. SdVs require a range of computing resources, from high-performance processors for autonomous driving to energy-efficient microcontrollers for body control. With chiplets, we can design and integrate these specialized components independently, creating customized solutions for different vehicle domains or even specific customer needs. This modularity also makes upgrades and replacements of individual chiplets easier. In turn, this extends the lifespan of the underlying hardware and supports over-the-air (OTA) updates for new functionalities – a cornerstone of software-defined vehicles.

Second, chiplets address the ever-growing demand for performance and power efficiency. As autonomous driving algorithms become more sophisticated and user interfaces more immersive, computational requirements are increasing. Chiplets make it possible to combine different types of mini-chips, each made with the best technology for its specific job, into one powerful package. In turn, this enables superior performance where needed while maintaining energy efficiency in less demanding areas, which is especially important for electric vehicles and their range.

Third, cost-effectiveness and faster time-to-market are significant drivers. Developing a complete, monolithic SoC for every new vehicle platform is a resource-intensive endeavor. By allowing the reuse of proven intellectual property (IP) and the independent development of specialized blocks, chiplets significantly reduce design complexity and speed up development cycles. This agility is vital for OEMs: in a fast-paced market, staying ahead of the curve in software-driven features is a competitive necessity.

Finally, and perhaps most importantly, chiplets can play a central role in managing complexity and mitigating risk. The interactions between hardware and software in SDVs make a robust and adaptable architecture decisive. By breaking down complex SoCs into smaller, manageable chiplets, we can isolate potential issues, simplify debugging, and accelerate validation processes. This streamlined approach minimizes the risk of costly redesigns and delays, thus ensuring the reliable and safe operation of advanced automotive systems.

RELATED: Why Chiplets Are Changing the Game in Tech Innovation

Collaborating to shape the new era of mobility

At Bosch, we see chiplet technology not only as technical innovation, but also as a potential breakthrough for software-defined mobility. It unlocks the architectural freedom, performance scalability, and economic viability required to build the intelligent and adaptable vehicles of the future. However, the technology’s full potential can only be reached through open standards and strong collaboration across the automotive and semiconductor industries. By working closely with our partners, we at Bosch believe that we can shape a modular, sovereign, and future-proof compute landscape for mobility.

Automotive chiplets: Your questions answered

This FAQ provides insights into automotive chiplets, their importance for software-defined mobility, and Bosch’s role in their development and standardization.

What are chiplets?

Chiplets are small, specialized silicon pieces, or “mini-chips,” that act as modular building blocks for semiconductor design. Instead of integrating all functions onto a single, large “monolithic” chip (System-on-Chip or SoC), chiplets allow for the distribution of computing tasks across several smaller, optimized components. These individual chiplets are then connected with a high-speed interface to function as a single, powerful system.

Why are chiplets important for software-defined mobility (SDM)?

The shift to software-defined mobility demands unprecedented computational power, flexibility, and scalability. Traditional monolithic SoCs are reaching their technical limits in meeting these demands for the following reasons:

• Complexity: Integrating multiple functions onto a single chip is becoming increasingly challenging, and this is leading to longer development cycles and higher costs
• Flexibility: Monolithic SoCs offer less flexibility for future upgrades or tailoring to specific automotive applications
• Costs: Monolithic SoCs incur significant design costs. This limits their viability, making new designs feasible only for large-volume markets like smartphones, but increasingly uneconomical for automotive applications.

Chiplets offer a solution by providing:

• Modularity and differentiation: They allow for customized solutions for different vehicle domains (e.g., autonomous driving, body control, OEM-specific AI accelerators) or even specific customer needs, making upgrades, variants and replacements easier
• Performance and power efficiency: Different chiplets can be optimized for specific tasks, combining high-performance processing where needed with energy efficiency in other areas. This is especially important for electric vehicles
• Cost-effectiveness and faster time-to-market: By reusing proven intellectual property (IP) and developing specialized blocks independently, chiplets reduce design complexity and accelerate development cycles. This is decisive for competitive innovation
• Complexity management and risk mitigation: Breaking down complex systems into smaller, manageable chiplets simplifies debugging and validation. It also isolates potential issues, thus reducing the risk of costly redesigns

What is the CHASSIS initiative?

CHASSIS (Chiplet-based Hardware Architectures for Software-Defined Vehicles) is a three-year CHIPS JU (Chips Joint Undertaking) European pre-competitive program coordinated by Bosch. It is the first Europe-based initiative aiming to accelerate the development, standardization, and industrialization of automotive chiplet technology for software-defined mobility.

Who is involved in the CHASSIS project?

CHASSIS unites 18 leading companies from Europe’s mobility, semiconductor, and software industries, alongside prominent research institutions. This includes:

• Major European OEMs: BMW, Renault/Ampere, CRF Stellantis
• Tier 1 suppliers: Bosch, Valeo
• Semiconductor companies: Bosch, Arteris, Axelera AI, Infineon, Menta, NXP, Tenstorrent
• EDA and software companies: Siemens, TTTech-Auto
• Research and technology organizations: CEA, CHIPS-IT, FMD, imec

What are the main goals of the CHASSIS initiative?

Chassis aims to prove the viability of chiplets for automotive applications while also building the architectural foundation and meeting market demand.

The CHASSIS initiative will:

• Create scalable, high-performance chiplet platforms specifically designed for automotive use
• Define clear integration rules and specifications for seamless chiplet-to-chiplet connectivity from different vendors
• Foster a modular, secure, and resilient open chiplet ecosystem in Europe
• Develop and validate an ‘Automotive Base Die’ (the automotive backbone) chiplet as well as a test chip consisting of multiple chiplets to demonstrate multi-vendor integration
• Enable an ecosystem for chiplets with a strong European backbone

Why is an open ecosystem and standardization important for automotive chiplets?

Without common standards, the true benefits of chiplets cannot be fully realized. An open ecosystem and common standards:

• Prevent chiplets from being locked behind proprietary silos
• Ensure that different components from various suppliers can work together seamlessly
• Promote competitive innovation and open up the high-performance compute market to multiple vendors
• Enable the automotive industry to benefit from a global, scalable chiplet ecosystem
• Strengthen Europe’s technological sovereignty in semiconductor design

RELATED: Assess Your Semiconductor Product Requirements and Traceability Pain Points

What is Bosch’s position in the automotive chiplet revolution?

Bosch aims to become the go-to provider for automotive chiplet systems and shape the future of automotive computing itself through open standards. The company is doing this by:

• Coordinating the CHASSIS initiative: taking a leading role in bringing together key industry players and research institutions
• Driving standardization: Actively working with partners to create common standards for automotive chiplets
• Shaping the future: Influencing key design choices and architectures to ensure chiplet technology meets the evolving needs of software-defined vehicles
• Comprehensive expertise: Leveraging its deep understanding of both automotive systems and semiconductor design and integration

How will chiplet innovation ultimately benefit the automotive industry and consumers?

Chiplet innovation will benefit the industry by:

• Enabling more advanced, flexible, and powerful software-defined vehicles
• Reducing development cycles and costs for OEMs
• Allowing for easier upgrades and extended hardware lifespans in vehicles
• Fostering competition and innovation among semiconductor suppliers
• Enabling flexibility in E/E architecture design for OEMs based on needs and not limited to available SoCs

What are the benefits of automotive chiplets for consumers?

• Vehicles with more sophisticated and customizable features
• Enhanced safety and user experiences through advanced functionalities like autonomous driving
• Longer-lasting vehicles with the ability to receive over-the-air (OTA) updates for new features
• More energy-efficient vehicles, which is especially important for electric models

The post Bosch and the Chiplet Revolution: Enabling Software-Defined Mobility appeared first on Jama Software.

We are excited to announce that Jama Connect 9.32 has set new scalability benchmarks five times greater than legacy systems. As products across industries become multi-disciplinary engineered product lines, the scale and complexity required to manage the product development process has grown dramatically. Jama Connect 9.32 scalability benchmarks:

Scale benchmarks for on-premise or SaaS deployments:

• Items per project – 10 million
• Items per instance – 100 million
• Concurrent users – 10,000

These new scale benchmarks are five times greater than legacy systems’ published benchmarks. Companies across industries have been hamstrung by the inability of legacy systems to scale to the levels required by their engineering teams to speed time-to-market and deliver increasing levels of quality.  Systems that cannot scale to 10 million project items and 100 million items per instance force enterprise engineering teams to artificially separate workstreams leading to defects, delays, cost overruns, recalls and warranty costs.  Jama Connect is the only system that scales to the levels required.

Companies rely on Jama Connect for consistent and stable performance regardless of project or instance size and with today’s release of 9.32 this capability continues Jama Software’s unparalleled leadership in managing scale. As the only provider of a true multi-tenant SaaS offering, Jama Software provides companies with the ability to offload the burden and cost of hardware, hosting, upgrades and IT management that is required with legacy tool providers.

“The system architecture required to achieve these levels of scalability is foundationally different than current legacy systems,” said Jim Davidson, CTO Jama Software.  “This is the result of two years of effort to incorporate the latest technologies and architecture for scalability.”

All Jama Connect customers will be seamlessly upgraded as part of the normal upgrade process.

Jama Connect 9.32 is available today.

Frequently Asked Questions about Jama Software

Q&A
Q1: What is the best requirements management software for my industry or team size?
A1: The suitability of requirements management software depends on factors such as regulatory demands, system complexity, and collaboration needs. Jama Connect is highly selected by teams in regulated and systems-engineering-heavy industries due to its focus on traceability and structured requirements management.

Q2: What scalability benchmarks has Jama Connect achieved for on-premise or SaaS deployments?
A2: Jama Connect 9.32 has achieved the following scalability benchmarks:

• Items per project: 10 million
• Items per instance: 100 million
• Concurrent users: 10,000

These benchmarks are five times greater than the largest known legacy system deployments.

Q3: How does Jama Connect compare to legacy systems in terms of scalability?
A3: Jama Connect 9.32 outperforms legacy systems by scaling to 10 million items per project and 100 million items per instance. Legacy systems cannot store or perform at these levels, forcing enterprise engineering teams to separate workstreams, which can lead to defects, delays, cost overruns, recalls, and warranty costs.

Q4: How does Jama Connect support the increasing complexity of modern product development?
A4: Jama Connect is designed to handle the growing scale and complexity of multi-engineered product lines. By providing scalability benchmarks of 10 million items per project and 100 million items per instance, it ensures that engineering teams can manage complex product development processes without needing to artificially separate workstreams, reducing the risk of defects, delays, and cost overruns.

Q5: How does requirements management software support scaling across multiple teams and programs?

A5: As organizations scale, requirements management software must support parallel development, standardized processes, and cross-program visibility. Tools like Jama Connect provide centralized requirement repositories and role-based workflows that help maintain consistency across distributed teams and initiatives.

Q6: What makes Jama Connect’s architecture suitable for complex use cases?
A6: Jama Connect’s architecture is built on the latest technologies specifically designed for scalability. This foundationally different system architecture enables it to support 10,000 concurrent users and manage billions of items and API calls in the cloud, making it ideal for complex, large-scale engineering projects across industries.

Q7: How does Jama Connect improve the quality of requirements?
A7: Jama Connect improves the quality of requirements by leveraging natural language processing (NLP) through its AI-powered Jama Connect Advisor™. This tool provides guided authoring and multi-statement analysis to optimize the clarity, accuracy, and usability of requirements. It minimizes ambiguity and contradictions, which are responsible for 70-80% of rework costs, and aligns requirements with industry-leading standards like INCOSE Rules and EARS Notation.

The post Requirements Management Software Jama Connect Breaks Records for Scalability appeared first on Jama Software.

Next Generation Nuclear: Reactor Innovations Shaping 2025

The nuclear energy industry is about to undergo a significant change. A new generation of reactor technologies is emerging to offer safer, more economical, and efficient solutions as the world’s power demands rise. These cutting-edge concepts will transform our understanding of nuclear power, going beyond conventional models to provide clean and adaptable energy.

The main advancements in nuclear reactor technology that are anticipated to gain traction will be examined in this post. We will examine innovative designs such as Fast Reactors, High-Temperature Gas Reactors, and Molten Salt Reactors and talk about how they could transform energy production for a sustainable future.

The Evolution of Reactor Design

For decades, traditional nuclear power plants have been reliable sources of carbon-free electricity. However, the industry has moved to developing advanced reactors that improve upon these foundational designs. These next-generation technologies focus on passive safety systems, modular construction, and enhanced efficiency. This evolution allows them to not only generate electricity but also provide industrial heat, support renewable energy grids, and even address nuclear waste.

In addition to the advancements in modular construction and passive safety systems, the development of microreactors is gaining momentum. For instance, NANO Nuclear Energy’s KRONOS Micro Modular Reactor (MMR) represents a significant leap in reactor design. This high-temperature gas-cooled microreactor is designed to deliver 15 MWe (45 MWt) and can operate autonomously during grid outages. Its use of TRISO fuel and passive helium cooling ensures safety and resilience, making it a promising solution for energy resilience in urban and military settings.

We expect to see significant progress in regulatory approvals and pilot projects for these cutting-edge designs. This progress will bring us closer to commercial demonstrations that could reshape the global energy mix.

RELATED: Accelerate Nuclear Design Assessments and Reduce Certifications and Engineering Costs with Jama Connect^® for Nuclear Reactor Design & I&C Development

Innovations to Watch: MSRs, HTGRs, and Fast Reactors

Several advanced reactor types are leading the charge. Each offers unique benefits that make them suitable for different applications, from powering data centers to decarbonizing heavy industry.

Molten Salt Reactors (MSRs)

Molten Salt Reactors represent a significant departure from conventional water-cooled reactors. Instead of solid fuel rods, MSRs use nuclear fuel dissolved in a molten fluoride or chloride salt. This liquid fuel also acts as the primary coolant, operating at low pressure and high temperatures.

This design has inherent safety advantages. If the reactor overheats, a freeze plug melts, and the liquid fuel automatically drains into a secure containment tank where the reaction stops. While commercial applications are anticipated by the mid-2030s, important developmental milestones are expected in the coming year.

High-Temperature Gas Reactors (HTGRs)

High-Temperature Gas Reactors use gas, such as helium, as a coolant and operate at very high temperatures. The high temperature allows them to generate electricity with great efficiency and also makes them ideal for providing industrial process heat for applications like hydrogen production and chemical manufacturing.

The KRONOS MMR, developed by NANO Nuclear Energy, exemplifies the potential of HTGRs. This microreactor is not only designed for multi-decade use but also incorporates features like autonomous operation and resistance to cyber and physical threats. Its modular nature allows for scalability, making it suitable for diverse applications, including military installations and industrial use.

Fast Reactors

“Fast” neutrons are used in fast reactors to maintain the nuclear chain reaction. Compared to conventional reactors, this enables them to extract a notably greater amount of energy from uranium. This technology’s capacity to “breed” its own fuel and consume nuclear waste from other reactors, converting long-lived waste into a useful energy source, is one of its main advantages.

RELATED: Buyer’s Guide: How to Select the Right Requirements Management and Traceability Solution

Impact on the Future of Energy

These advanced reactor technologies promise to have a profound impact on the global energy landscape. Their key benefits extend beyond simple electricity generation.

Enhanced Safety and Cost-Effectiveness

New reactor designs incorporate passive safety systems, which safely shut down the reactor using gravity and convection without the need for external power or human intervention. This greatly improves the safety profile of nuclear energy.

These designs frequently incorporate modular construction. By producing smaller, standardized parts in a factory and drastically reducing construction schedules and costs, nuclear power can become a more affordable option, assembling them on-site.

The KRONOS MMR’s ability to operate independently of the main grid and its reliance on passive safety mechanisms highlight the strides being made in reactor safety. These features ensure that critical operations can continue uninterrupted, even in the face of external disruptions.

Integration with Renewable Energy

The operational flexibility of advanced reactors, like TerraPower’s Natrium, makes them ideal partners for renewable energy. They can ramp their power output up or down to balance the variable nature of wind and solar power, providing the grid with a consistent and reliable backbone of clean energy. This ability to integrate seamlessly with renewables is critical for building a stable, zero-carbon energy system.

Decarbonizing Industry

The high temperatures produced by reactors like HTGRs and MSRs can be used to provide process heat for heavy industries such as steel, cement, and chemical production. These sectors are historically difficult to decarbonize. By replacing fossil fuels with clean nuclear heat, advanced reactors can play a key role in helping these industries achieve climate goals.

Challenges and the Road Ahead

Advanced reactors have enormous potential, but there are obstacles in the way of their widespread deployment. Significant challenges that need to be addressed include managing early development costs, gaining public acceptance, and navigating complex regulatory environments.

But things are gathering steam as as investment in these technologies rises. For a number of innovative designs, we expect regulatory approvals to advance, opening the door for additional pilot projects and commercial demonstrations. These projects will provide essential real-world data on performance, safety, and economic viability.

As countries around the world expand their nuclear programs, the ongoing refinement of these technologies will continue. With a keen focus on digital engineering and operational efficiency, advanced reactors are poised to become a cornerstone of a clean, secure, and sustainable energy future.

Summary and Conclusion

The potential of nuclear energy is being transformed by advancements in nuclear reactor technology. The industry is moving toward safer, more adaptable, and more efficient power generation with designs like Molten Salt Reactors, High-Temperature Gas Reactors, and Fast Reactors setting the standard. Despite obstacles, these advancements will move us closer to a time when modern nuclear power and renewable energy sources coexist to meet the world’s energy demands without significant risk to the climate.

The post Next Generation Nuclear: Reactor Innovations Shaping 2025 appeared first on Jama Software.

Tech Giants Turn to Nuclear Power for AI’s Energy Appetite

Artificial intelligence is revolutionizing industries at breakneck speed, with UBS CIO estimating global company spending $480 billion on AI infrastructure in 2026. This technological leap comes with an enormous energy cost. As AI workloads and data centers consume unprecedented amounts of electricity, tech giants are making a bold strategic pivot toward nuclear energy partnerships to meet their growing power demands while maintaining carbon-neutral commitments.

The energy requirements for training and running AI models have reached critical levels, forcing companies to seek reliable, preferably clean, power sources that can operate around the clock. Unlike solar and wind energy, nuclear power provides consistent baseline electricity that doesn’t fluctuate with weather conditions—a crucial advantage for data centers that require uninterrupted power supply.

AI’s Explosive Energy Demands Drive Infrastructure Crisis

The computational power required for artificial intelligence applications has created an energy consumption challenge that traditional power grids struggle to accommodate. Modern AI data centers consume significantly more electricity than conventional facilities, with some requiring the equivalent power of small cities to operate effectively.

Training large language models and maintaining AI inference capabilities demand continuous, high-intensity computing power. These operations cannot afford power interruptions or fluctuations that occur with renewable energy sources dependent on weather patterns. The reliability factor makes nuclear energy an attractive solution for sustained AI operations.

Data center operators face mounting pressure to expand capacity while meeting corporate sustainability goals. This dual challenge has accelerated interest in nuclear partnerships as a viable path forward for powering next-generation computing infrastructure.

RELATED: Accelerate Nuclear Design Assessments and Reduce Certifications and Engineering Costs with Jama Connect^® for Nuclear Reactor Design & I&C Development

Nuclear Renaissance Through Advanced Reactor Development

The nuclear energy sector is experiencing renewed momentum through innovative reactor technologies designed specifically for modern energy demands. Small modular reactors (SMRs) and advanced nuclear systems offer enhanced safety features, reduced construction timelines, and flexible deployment options that appeal to tech companies.

Dedicated next-generation nuclear facilities can be built closer to data centers, reducing transmission losses and improving grid reliability. Advanced reactor designs incorporate passive safety systems and simplified operations that address historical concerns about nuclear energy deployment.

Nuclear developers are actively pursuing projects that can deliver power within the next decade, aligning with tech companies’ aggressive expansion timelines. This convergence of technological advancement and market demand is creating unprecedented opportunities for SMR-powered nuclear energy growth.

Strategic Partnerships Transform Energy Landscape

Amazon, Microsoft, Alphabet/Google, and Meta, which contribute most of the global spending on AI infrastructure according to UBS CIO, have emerged as leaders in forging partnerships with nuclear energy developers, recognizing that traditional renewable sources cannot fully meet their expanding cloud and AI datacenter energy requirements. These collaborations represent billions of dollars in commitments toward nuclear power development.

Amazon’s approach includes investing in SMR technology and securing long-term power purchase agreements with nuclear developers. The company’s strategy focuses on deploying nuclear power near major data center clusters to ensure reliable electricity supply for cloud computing and AI services.

Microsoft has signed a 20-year nuclear power purchase agreement with Constellation Energy that will help restart the Crane Clean Energy Center’s Three Mile Island Unit by 2028.

Alphabet/Google has announced partnerships aimed at bringing gigawatts of nuclear capacity online by 2030, emphasizing the need for carbon-free energy that operates continuously. The company’s nuclear strategy complements its existing renewable energy portfolio while addressing the specific demands of AI workloads.

Meta’s nuclear initiatives focus on securing clean energy sources that can support the company’s ambitious AI research and deployment goals. These partnerships demonstrate how social media and technology platforms are adapting their energy strategies to accommodate next-generation computing requirements.

RELATED: Buyer’s Guide: How to Select the Right Requirements Management and Traceability Solution

Nuclear Power’s Competitive Advantage for Data Centers

Nuclear energy offers unique advantages that align perfectly with data center operational requirements. The consistent power output eliminates concerns about energy storage systems and backup generation typically required with intermittent renewable sources.

Cost predictability represents another significant benefit, as nuclear fuel costs remain relatively stable compared to fossil fuel price volatility. Long-term power purchase agreements with nuclear facilities provide tech companies with budget certainty for their expanding operations.

The carbon-neutral profile of nuclear energy helps tech giants achieve environmental commitments without compromising operational reliability. This combination of sustainability and dependability positions nuclear power as an essential component of future data center strategies.

Powering Tomorrow’s Digital Infrastructure

The convergence of AI’s energy demands and nuclear power capabilities marks a transformative moment for both industries. Tech companies are demonstrating that meeting ambitious technological goals requires innovative approaches to energy procurement and infrastructure development.

These nuclear partnerships signal a fundamental shift in how major corporations approach energy planning for next-generation computing workloads. As AI continues expanding across industries, the demand for reliable, clean power will only intensify, making nuclear energy an increasingly critical component of digital infrastructure strategy.

The success of these early partnerships will influence broader industry adoption and accelerate nuclear energy development timelines. Organizations planning significant AI deployments should evaluate nuclear power options as part of their long-term energy strategies.

Note: This article was drafted with the aid of AI. Additional content, edits for accuracy, and industry expertise by Mark Levitt and Vlad Tanasescu.

The post Tech Giants Turn to Nuclear Power for AI’s Energy Appetite appeared first on Jama Software.

In this blog, we recap our recent Datasheet, “Accelerate Nuclear Design Assessments and Reduce Certifications and Engineering Costs with Jama Connect® for Nuclear Reactor Design and I&C Development.”

Accelerate Nuclear Design Assessments and Reduce Certifications and Engineering Costs with Jama Connect^® for Nuclear Reactor Design and I&C Development

Designing and constructing nuclear systems and facilities, with instrumentation and control systems, is one of the most intricate and regulated endeavors any organization can undertake. The process of managing, defining, and tracing functional, safety, security, design, performance, independence, reliability, and special treatment requirements for complex nuclear reactors, along with their facilities, systems, subsystems, structures, and components, is compounded by strict, country-specific regulatory guidance and standards.

The design process is iterative and driven by continuous risk, safety, hazard, accident, and security analysis and mitigations. Revisions during and post-design and construction, based on safety/risk assessments and regulatory feedback lead to rework and reengineering, increasing costs and elongating timelines.

Effective requirements management, end-to-end traceability across the entire systems engineering process, continuous risk analysis and mitigations across the entire design cycle, and a single source of truth for systems engineering data aggregated across the digital thread are critical for project success. Failure to accurately categorize safety and security functions, classify structures, systems and components (SSCs), and assess the criticality of initiating events and hazards in compliance with the applicable regulations (IEAE, ONR, etc.) can delay certifications and project completion, dramatically increase costs, and jeopardize the safe state of the nuclear plant.

KEY BENEFITS

• Streamline safety design assessments: Jama Connect offers a single source of truth for the digital safety assessment of a nuclear system, including qualitative hazard evaluations, probabilistic safety assessments, design failure, accident, and dose consequence analysis, FHA, security analysis, and combined risks mitigations.
• Enhance collaboration across development teams and supply chain: Jama Connect natively enables co-development within the supply chain and external subcontractors, and improved communication and alignment between cross-functional teams and with external safety assessors.
• Achieve end-to-end traceability across your development toolchain: Jama Connect’s Traceability Information Model™ outlines an end-to-end process for the requirements and design definition and decomposition, V&V, risk/safety/security analysis, and system implementation. With Live Traceability™, exchange system implementation specific data like models, architectures, parts/assemblies, tasks continuously with MBSE, PLM, work management, and P&ID tools.
• Automate risk categorization and classification: Replace manual, error-prone categorization of risks and classes by letting Jama Connect automatically assess and calculate the criticality, categorization and classification of events, functions, and SSCs.

Jama Connect for Nuclear Reactor Design and I&C Development is purpose-built to guide engineers through the systems development and digital safety assessment of a nuclear system, automatically measure the completeness and quality of traceability across the entire digital thread, and enable the automated creation of digital safety reports.

Jama Software’s nuclear framework is oriented towards and based on the guidance of the NRIC for the usage of digital engineering tools for nuclear DSAs (digital safety assessments), the guidance of IAEA and ONR for the Categorization and Classification of Functions and SSCs, and IEC 61513, and IEC 61508 for the development of I&C systems.

RELATED: Energy Buyer’s Guide: Selecting a Requirements Management and Traceability Solution for Energy

Here’s how Jama Connect can help your team streamline processes, improve safety outcomes, and meet regulatory requirements:

End-to-End Traceability Across All Levels

With Jama Connect, you can ensure complete traceability across the design and engineering process – from product definition and design to V&V, safety and security classifications, categorizations and analysis, and product implementation. Our platform connects every design element — from mission-level objectives down to individual components, assemblies, and parts. Live Traceability not only satisfies regulatory demands but also provides critical insights into how changes at any level and any stage impact the entire system.

• Traceability at every level: From mission needs and platform designs, to systems, subsystems to individual components, Jama Connect traces risks, requirements, V&V, and implementation elements are connected in an iterative, risk-driven process.
• Event-function-SSC traceability: Map initiating events, safety, and security functions, and SSCs seamlessly, helping ensure safety-critical events are covered at every level.
• Dynamic risk-response integration: Feed critical information like initiating events, identified hazards, safety, security and reliability requirements, and special treatments directly into the design, ensuring risks are evaluated and mitigated throughout the lifecycle.

Streamlined Safety Design Assessments

Regulatory requirements for nuclear reactor certification differ from country to country, but the principles of risk/safety/security analysis, safety and security classification, and categorization remain universal. Jama Connect simplifies this process by guiding teams through compliance-specific workflows.

• Safety and security classification and categorization: Automate initial and final classification of safety/security functions, SSCs, and events. Automatically assign safety categories using calculated fields and lookup metrics based on global or country-specific nuclear standards.
• Iterative compliance support: Conduct preliminary safety assessments early and refine security functions as the design evolves. Ensure that every regulatory stage is met with precision, from early safety categorizations to final licensing approvals.
• Digital export for documentation: Generate detailed certification-ready documentation of classification assignments, risk analyses, and hazard outcomes for key documentation items like safety and security cases or preliminary and final design safety reports.

Seamless Integration Across Digital Engineering Tools

To ensure every aspect of the development process stays connected and enable the DSA (Digital Safety Assessment), Jama Connect integrates with industry-standard tools used for model-based systems engineering (MBSE), product lifecycle management (PLM), and after simulation:

• • MBSE: Collaborate effectively by connecting Jama Connect with tools like Cameo Systems Modeler (aka CATIA Magic) or Enterprise Architect to exchange architecture, models, and design data.
  • PLM: Sync parts, assemblies, and change requests with PLM tools like PTC Windchill, Aras PLM, or Siemens Teamcenter to manage parts and mechanical implementations efficiently.
  • P&ID: Diagram synchronization (either direct or via PLM) with tools like PTC Creo or Siemens NX.
  • Software development and work management: Easily sync tasks, stories, and epics with tools like Jira or Azure DevOps to ensure software requirements are implemented.
  • Digital threads: Create and manage a fully integrated digital thread that ties all relevant data from requirements and designs, V&V, MBSE, PLM, simulation and visualization, safety assessment, and risk management, enabling end-to-end traceability, completion measurements, change impact analysis, and the automatic detection of gaps and risks.

Risk Analysis and Hazard Management

Risk analysis is the backbone of safety in nuclear reactor design. Jama Connect supports rigorous risk, safety, and security analysis throughout the iterative design lifecycle, from the initial qualitative hazard evaluation to the analysis of initiative events, classification and categorization of functions and SSC, DID analysis to the probabilistic safety assessments, SSA, and DCA.

• Initiating events from qualitative hazard evaluation: Identify events that could jeopardize the safe state of the nuclear power plant. operation, including those rooted in design, external hazards, or past regulatory findings.
• Hazard analysis and mitigation – probabilistic safety assessment: Collect and analyze identified hazards, assess severity, and create safety requirements that feed directly into system updates. Out of the box HARA and HAZOP data models.
• SAA, FHA, DQA, and combined risks: Conduct severe accident analysis, fire hazard analysis, dose consequence analysis, combine/enveloped risk assessments, and derive mitigations and special treatments as part of Jama Connect’s end-to-end traceability.

RELATED: Overcoming Top Challenges in the Energy Storage Industry with Jama Software

Enhanced Efficiency and Collaboration

By centralizing all information within a single source of truth, Jama Connect eliminates inefficiencies, reduces rework, and fosters alignment between teams.

• Agile-compatible iterations: Adapt requirements and designs iteratively as new risks or design details emerge.
• Collaborative team environment: Share updates and insights in real time, ensuring stakeholders, engineers, and regulators remain aligned at every stage. Easy to initiate and complete reviews and approvals.
• Automated workflows: Save time by automating time-intensive, repetitive tasks like hazard categorization and safety classification.

AI-enabled Intelligent Engineering

AI analysis and automation with Jama Connect Advisor™ improves productivity and product development outcomes.

• Requirements quality intelligence: Enhance the quality and clarity of requirement language to significantly reduce a major cause of defects.
• Test case intelligence: Streamline verification by automatically generating test cases derived from requirements.

For additional AI initiatives under consideration, go to labs.jamasoftware.com

Organizations at the forefront of nuclear innovations — including those overseeing and developing small modular reactors (SMRs) — recognize Jama Connect as a transformative tool in navigating the unique challenges of the industry.

From guiding teams through compliance workflows to empowering iterative risk analysis, Jama Connect for Nuclear Reactor Design and I&C Development is reshaping how the nuclear industry approaches design and certification. Its ability to combine traditional systems engineering approaches with modern digital iterative processes and digital safety assessments are redefining what’s possible in a nuclear reactor development.

To learn more about managing your nuclear requirements, tests, and risks with Jama Connect, visit jamasoftware.com

TO DOWNLOAD THE FULL DATASHEET, VISIT: Accelerate Nuclear Design Assessments and Reduce Certifications and Engineering Costs with Jama Connect for Nuclear Reactor Design & I&C Development

The post Accelerate Nuclear Design Assessments and Reduce Certifications and Engineering Costs with Jama Connect® for Nuclear Reactor Design and I&C Development appeared first on Jama Software.

In this video, learn about the Consumer Electronics Development Solution in Jama Connect.

Jama Connect^® Features in Five: Consumer Electronics Development Solution

We value your time, but this Features in Five video goes beyond the five-minute mark to deliver an information-packed session, hosted by Vlad Tanasescu, GM, Industrial & Consumer Electronics, Jama Software.

Developing consumer electronics is complex, but Jama Connect’s new out-of-the-box solution simplifies the process. Discover how Jama Connect helps teams bring products to market faster while ensuring safety, cybersecurity, and seamless collaboration.

With AI-driven automation, real-time gap detection, and integrations with tools like Jira and GitHub, Jama Connect delivers end-to-end traceability and reduces risks. Whether managing product lines or collaborating with subcontractors, this solution is designed to help you work smarter.

VIDEO TRANSCRIPT

Vlad Tanasescu: Hi, this is Vlad from Jama Software, and today I will walk you through a brief live demonstration of our new out-of-the-box consumer electronics development solution. In this video, we will cover how Jama Connect’s intelligent, guided, and measurable product development approach enables us to launch products to market faster, reduce product recalls and re-engineering, how we can leverage Jama Connect’s engineering AI to automate manual day-to-day engineering tasks, how we can natively co-develop with external subcontractors and contract manufacturers in Jama Connect so that we achieve a central source of truth across our entire engineering data, as well as external traceability, and how we can better leverage product cybersecurity, safety, and risk management in the context of our integrated consumer electronics development.

In Jama Connect, we use process models to define end-to-end product development processes, starting from the ideation definition and design of our products, all the way to the manufacturing, software development, and testing. Jama Connect will use these models to guide engineers through the end-to-end development, automatically measure system and process completion, and automatically detect gaps and risks so that organizations know where to take action. Our out-of-the-box consumer electronics solution contains process guidance for the development of integrated consumer electronics products like laptops, phones, computers, or tablets, as well as for the development of consumer electronics app systems like battery systems, displays, or systems on chips, as well as for the development of standalone software consumer applications.

Within Jama Connect, we can measure and manage the end-to-end traceability from the definition of the product from the highest level of the stakeholder need, all the way down to the part and line of code. As part of the development of end-to-end consumer electronics products, practitioners are integrating Jama Connect with multiple other tools for task management, source code management, and product lifecycle management. Jama Connect will exchange data bidirectionally and continuously with these tools, so that in Jama Connect, we can manage the impact of changes across the end-to-end engineering data, and so that in Jama Connect, we can measure completion and detect gaps programmatically across the digital trend.

RELATED: Empowering Complex Development with Responsible AI

Tanasescu: For example, here on the left, we can see a project tree. This project tree will enable findability across the entire engineering data and will enable us to display our product structure, including the components, subsystems, and disciplines that are part of those subsystems and components. The project is entirely customizable. For example, within my software component, I can find the software user story that is linked in traceability with the software functional requirement. This software user still exists in Jama Connect and is bidirectionally and continuously synchronized with tools like Jira, Azure DevOps, as well as with manufacturing tools for parts or design tools for models and architectures.

The developers, the mechanical engineers, the designers, they will not make any change to their way of working, and Jama Connect will manage the end-to-end traceability from the highest level of the requirement all the way down to the implementation. Jama Connect will then measure product completion and detect gaps as mentioned before, across the entire product data. Here we can see to what extent the decomposition of our requirements, the testing against the requirements, or the allocations to architectures is complete, and due to the integrations with other software development, task management, or mechanical tools, we can also measure the completion of the implementation and development of our system. This capability enables organizations to know where they have their biggest gaps and product risks so that they know where to take action, and this type of intelligent product measurement hasn’t been possible historically.

For teams developing standalone consumer electronics software applications, Jama Connect can exchange data bidirectionally and continuously with source code management tools like GitHub and GitLab to enable end-to-end life traceability and the understanding of the impact of changes from the requirements all the way to the lines of code.

Product line engineering is a very important part of our consumer electronics framework. In this project, for example, I’m working on the development of a laptop. This laptop has multiple other variants our engineering teams are working on in parallel, and with a couple of clicks, we can get an overview of all of our variants as well as understand the delta between variants with respect to requirements or designs that are only part of one variant or with regards to shared requirements which are part of both variants one and two but slightly different in each products to fulfill the needs of the variants.

RELATED: Buyer’s Guide: Selecting a Requirements Management and Traceability Solution

Tanasescu: Once we’ve identified the differences, Jama Connect will allow us to synchronize changes between variants or across our entire product library. These capabilities enable product modularization and help reduce the time needed to start the development of new generations. In Jama Connect, we can also maintain libraries of subsystems, systems, or standard requirements. In this example, I’m maintaining multiple battery versions, multiple versions of a subsystem, and whenever appropriate, I can reuse the respective subsystem version in a new development project.

Jama Connect enables multiple product line engineering approaches, which our customers find very useful. The first one is the approach of the library. From the library, we will be reusing content in different product projects. The second one is the approach of a technology platform where we would be setting up a 150% product containing all the data that we could ever use in a variant, and then when a new release starts or when a new generation product starts, we can branch up the necessary content from the technology platform in the variant.

Jama Connect also enables us to work on multiple releases in parallel and bring over changes from one release to another, and the product line engineering approach in Jama Connect is entirely customizable. Another very important component of our consumer electronics solution is native code development. Consumer electronics companies very often work with external subcontractors and contract manufacturers for the development of subsystem technologies. Contract manufacturers can create engineering content natively in the same environment with the OEM so that the OEM can manage end-to-end traceability and detect gaps externally towards the data provided by the subcontractor. Here as an example, we can use Jama Connect to measure the external traceability.

We can see that only 20% of the specifications that we’ve defined internally have been implemented with designs or parts from our external subcontractors. Functional safety as well as cybersecurity are becoming more and more important for consumer electronics companies. The consumer electronics framework contains out-of-the-box safety, cybersecurity, and failure modes and effects analysis data models, which will enable companies to manage risks and the mitigation of those risks as part of one integrated process with the other functional and non-functional elements of the consumer electronics products. The out-of-the-box data models will enable the automatic calculation and classification of the cybersecurity threats, definition and analysis of the safety risks, as well as the failure modes.

RELATED: In Sync: Harmonizing Development on a Diverse Line of Audio Equipment, a Shure Customer Story

Tanasescu: We believe that artificial intelligence is crucial to reducing time to market. In Jama Connect, we are able to automate key day-to-day engineering tasks. For example, I will manually create a requirement that the laptop shall maintain Wi-Fi connectivity, and then, historically, to test against this requirement, engineers would’ve needed to define the test manually. They would’ve described the parameters and the objectives and then defined the steps that the executor would need to go through. Jama Connect’s engineering AI will derive tests automatically and massively reduce the time needed for test generation and validation. The QA engineer can choose to take over one of multiple tests created by AI, and Jama Connect’s AI* will link the test in traceability with the requirements automatically. Jama Connect’s engineering AI can help automate multiple day-to-day engineering tasks like the generation of requirements, the refinement of requirements, or the creation of traceability across the end-to-end process.

Our AI Relationship Discovery** will enable the user to define what relationship suggestions they’d like to receive. For example, I can choose to ask Jama Connect to show me subsystem requirements and system architecture traceability suggestions for my system requirements, and then Jama Connect will query our product library and display multiple objects that we can choose to relate in traceability with our source objects. The user will have the ability to visualize the content of the suggested relationship, and then will be able to intuitively create a traceability link between the source object and the suggested object.

Thank you very much for your time. If you’d like to find out more about our consumer electronics solution, please visit our website. Thank you.

*Test Case Generation available through our add-on product, Jama Connect Advisor™

**Relationship Discovery coming soon as part of Jama Connect Advisor™

To view more Jama Connect Features in Five topics, visit:
Jama Connect Features in Five Video Series

The post Jama Connect® Features in Five: Consumer Electronics Development Solution appeared first on Jama Software.

This blog recaps our recent Features in Five video on the topic of Jama Connect’s out-of-the-box nuclear reactor design and I&C development solution.

Jama Connect^® Features in Five: Nuclear Reactor Design and I&C Development Solution

Learn how you can supercharge your systems development process! We always want to be respectful of your valuable time. Still, in this Features in Five video, we do go beyond the promised five-minute format to include an information-packed session, hosted by Vlad Tanasescu, GM, Industrial & Consumer Electronics, Jama Software.

Designing nuclear reactors is a complex, high-stakes process requiring precision, safety, and collaboration. Jama Connect’s out-of-the-box framework simplifies this complexity by guiding engineering teams through requirement decomposition, safety assessments, and risk analysis while ensuring traceability across the entire digital thread.

With AI-driven automation, real-time gap detection, and seamless tool integrations, Jama Connect empowers teams to streamline processes, enhance collaboration, and accelerate time to market, all while maintaining the highest safety and compliance standards.

VIDEO TRANSCRIPT

Vlad Tanasescu: Hi, I am Vlad. I lead our energy business unit here at Jama Software, and today I will walk you through a brief live demonstration of our new out-of-the-box nuclear reactor design and instrumentation and control (I&C) system development framework. Our engineering management platform, Jama Connect, enables an intelligent, guided, and measurable product development approach. In Jama Connect, we use process rules to define end-to-end engineering and design processes. Jama Connect will leverage this process to automatically guide the engineering organization through their development, intelligently measure system and process completion, and automatically detect gaps and risks so that engineers know where to take action.

On a high level, our nuclear reactor design framework starts from the decomposition of the requirements and the parallel decomposition of our designs and architectures from the highest level of the plant all the way to the mechanical and software implementations. The framework natively enables the initial deterministic safety assessment, the classification of initiating events in design-based accidents, the categorization of security and safety functions, and the classification of structures, systems, and components in alignment with the guidance of the International Atomic Energy Agency (IAEA) and local nuclear reactor design assessors.

The framework also includes the probabilistic safety assessment, the accident, and those consequence analysis and the analysis of combined risks. Nuclear reactor design is highly iterative. As our design and construction progresses, we will continuously find new safety and security requirements and functions as well as new reliability requirements and special treatments, all of which will need to cascade and feedback into the functional and non-functional levels of our reactor. Nuclear reactor design practitioners integrate model-based systems engineering, product life cycle management, pipeline and instrumentation diagramming and software development tools to Jama Connect to extend the traceability from the definition of our reactor to how our reactor is being implemented in mechanical software and electronics disciplines.

RELATED: Power Efficiency and Innovation Across Your Development Process with Jama Connect for Energy Storage Systems

Tanasescu: These integrations will enable us to programmatically measure traceability and system completion across all of our tools, part of the engineering digital thread. For example, from one of our high-level mission needs, energy efficiency, we can directly visualize the allocation to a plant design coming from a model-based systems engineering solution, and then we can follow the decomposition of the requirement and the plan design all the way down to the mechanical implementation.

For example, from this plan design, we have derived multiple system architectures of the key reactor systems, which are further decomposed into multiple subsystem designs, which are further decomposed into component designs, which are ultimately decomposed into mechanical implementations like parts and key assemblies. This end-to-end traceability across the entire digital thread will enable us to understand the impact of changes starting from a requirement all the way down to the lowest implementation level. For example, if I were to change this energy efficiency requirement, I could run an impact analysis in Jama Connect, and then Jama Connect would show me that multiple design levels would be impacted by the change, but five levels down, I would also be impacting implementations in mechanical parts. I would be impacting safety mitigations and risk mitigations as well as executed tests, which is very powerful to understand before the change.

Jama Connect will use intelligent engineer management features like the Live Trace Explorer to intelligently measure the completion of our traceability across the entire digital thread. These intelligent measurements will programmatically summarize the completion of the decomposition of the requirements, the decomposition of the designs, the test coverage, the risk mitigations, as well as the completion of the implementation of our system. Due to the integrations with other tools like product lifecycle management or model-based systems engineering applications, we can start measuring to what extent our component designs have been implemented in parts or our software requirements in software implementations. For example, here we can see that only 2% of our component designs have been implemented in parts or only 2% of our component designs have been analyzed and taken into account in the initial deterministic safety assessment. These intelligent measurements will enable companies to mitigate, rework and reduce their time to market. We will always be able to understand where we have gaps and risks in our system so that we know where to take action.

RELATED: Accelerate Nuclear Design Assessments and Reduce Certifications and Engineering Costs with Jama Connect for Nuclear Reactor Design & I&C Development

Tanasescu: In Jama Connect, we use the project tree to visualize and access all of our engineering data in one view. The project tree will also enable us to set up our product breakdown and systems engineering structure. Here, we can see the key subsystem of the reactor and the balance of plant, each subsystem having its respective requirements, designs, and tests, and then one level down, we can visualize the key components of our subsystem. Each component, including requirements, designs, tests, and mechanical software, electronic specific implementations like parts or software user stories. Our out-of-the-box nuclear reactor design framework also contains data models for the automatic calculations and classifications of initiating events and design-based accidents for the categorization of safety and security functions and for the classifications of structure systems and components. The Jama Connect Nuclear Reactor Design framework will also enable the automatic export of initial, preliminary, and final design safety reports and will enable the programmatic creation of security and safety cases.

Our I&C system development framework is reduced to the scope of the development of nuclear reactor subsystems. And in accordance with standards like EEC or EEC61508, the I&C development decomposition starts at the level of the safety design base. The I&C systems development framework also enables codevelopment. Nuclear reactor OEMs, I&C system T1s, and external engineering partners can use Jama Connect as a central source of truth for the entire design and engineering-related collaboration, and they can use Jama Connect’s intelligent engineering management capabilities to measure system completion and identify gaps across the entire engineering data coming from all the partners from our development ecosystem.

We view the adoption of artificial intelligence as essential for reducing time-to-market and increasing efficiency in nuclear development. Jama Connect’s engineering AI enables engineers to highly automate day-to-day and manual tasks like the definitions of tests or the decomposition of requirements. For example, here I have a requirement related to the nuclear fuel and instead of me deriving the test manually, I will use Jama Connect’s engineering AI to derive multiple tests automatically*, and then Jama Connect’s AI will proceed to derive multiple tests that our engineers could choose to take over and relate in traceability with the requirement.

This way, both the test generation and the traceability creation will be highly automated. Thank you very much for your time. If you want to learn more about our nuclear reactor design and IC system development framework, please visit our website. Thank you.

*Test Case Generation available through our add-on product, Jama Connect Advisor™

To view more Jama Connect Features in Five topics, visit:
Jama Connect Features in Five Video Series

The post Jama Connect® Features in Five: Nuclear Reactor Design and I&C Development Solution appeared first on Jama Software.

In this blog, we recap our recent Whitepaper, “Navigating AI Safety with ISO 8800 in Road Vehicles”

Navigating AI Safety with ISO 8800 in Road Vehicles

Editor’s Note: This blog post is based off of content from our recent webinar, presented by Matt Mickle and Jody Nelson from SecuRESafe (SRES). To learn more about how SRES can help your team develop responsibly safe and secure products for the evolving automotive and industrial space, please visit SecuRESafe (SRES). 

The automotive industry is in the midst of a transformation, driven by the rise of autonomous systems and artificial intelligence (AI). With the promise of enhanced safety, efficiency, and reliability, these technologies are rapidly advancing. However, as the complexity of AI systems used in road vehicles grows, ensuring their safety continues to be a top priority. Key to achieving this is the emergence of new standards like ISO 8800, a pivotal framework for guiding AI safety practices.

AI-powered road vehicles introduce numerous safety challenges, from understanding edgecase scenarios to managing real-time decision-making under varying conditions. Without proper safety assurances, these systems pose risks that could compromise passenger safety and public trust.

Existing Standards and Their Limitations

Standards like ISO 26262 (Functional Safety) and ISO/PAS 21448 (SOTIF – Safety of the Intended Functionality) have laid solid foundations for addressing traditional safety concerns. However, they do not fully account for the dynamic and adaptive nature of AI systems. This gap underscores the importance of ISO 8800.

RELATED: Accelerate Automotive Software Process Improvement and Capability Determination (ASPICE) with Jama Connect^®

Addressing the Gaps with ISO 8800

ISO 8800 aims to bridge the existing gaps by providing comprehensive guidelines tailored specifically to AI-driven systems and their unique challenges. Unlike traditional systems, AI operates in a highly dynamic environment where decision-making is continuously evolving based on real-time data inputs. This introduces complexity in ensuring predictable and safe behavior, especially in unprecedented situations.

One of the key contributions of ISO 8800 is its focus on the explainability and transparency of AI decisions. By mandating traceable decision-making processes, it ensures that the behavior of AI systems can be understood, audited, and, if necessary, corrected. This is crucial for building trust and accountability, particularly in high-stakes contexts such as autonomous vehicles. Additionally, ISO 8800 emphasizes robust testing methodologies that go beyond conventional verification techniques. These methodologies consider edge cases, rare events, and adaptive learning mechanisms to ensure the AI system performs safely under even the most unpredictable circumstances.

By addressing these and other critical facets, ISO 8800 not only enhances existing standards but also sets a forward-looking precedent for ensuring the safety and reliability of AI systems in a rapidly evolving technological landscape.

ISO 8800 Overview

ISO 8800 focuses on ensuring that AI systems deployed in road environments adhere to rigorous safety standards while maintaining adaptability to real-world challenges. The framework is built around several key pillars, including behavior modeling, risk assessment, and continuous improvement processes.

First, ISO 8800 emphasizes the creation of robust behavior models for AI systems. These models define how an AI system should act in varying scenarios, taking into account factors such as traffic conditions, weather changes, and unforeseen obstacles. By establishing clear behavioral expectations, ISO 8800 aims to prevent unpredictable AI actions that could compromise safety.

Second, the framework requires comprehensive risk assessment protocols. This involves identifying potential vulnerabilities and failure points in AI systems and implementing strategies
to mitigate these risks. Importantly, ISO 8800 promotes a proactive approach, encouraging developers to anticipate edge cases — rare and complex situations that may strain an AI system’s capabilities.

Lastly, continuous improvement is a fundamental aspect of ISO 8800. AI systems must undergo regular updates and evaluations to ensure optimal performance in evolving environments. The framework supports ongoing data collection and analysis, allowing developers to refine algorithms and adapt to new challenges over time. By addressing these areas, ISO 8800 provides a structured foundation for managing the intricacies of AI in road safety, paving the way for innovation that aligns with public trust and regulatory expectations.

Core Principles

• Transparency: Ensure clear visibility into AI decision-making processes.
• Robustness: Design AI systems to perform reliably even under challenging and unforeseen conditions.
• Fairness and Accountability: Mitigate biases in AI algorithms and establish accountability mechanisms for system failures.

Interoperability with Other Standards

One of ISO 8800’s strengths is its compatibility with existing safety standards, complementing ISO 26262 and SOTIF. Together, these frameworks create a holistic approach to managing road vehicle safety.

Benefits of ISO 8800 Adoption

The adoption of ISO 8800 brings forth a range of strategic and operational advantages for organizations working on AI-driven systems, particularly in safety-critical industries. One of the most significant benefits is the enhancement of trust in AI systems. By adhering to standardized guidelines that emphasize safety, transparency, and reliability, companies can demonstrate their commitment to ethical AI practices. This commitment builds confidence not only among regulatory bodies but also within the general public and the broader industry ecosystem.

Another crucial advantage is the reduction of safety risks. ISO 8800 provides a robust framework for identifying, assessing, and mitigating potential hazards associated with AI operations. This systematic approach reduces the likelihood of accidents, malfunctions, or unforeseen consequences, particularly in applications such as autonomous vehicles, healthcare technologies, and industrial automation. Furthermore, by minimizing risks, organizations can lower the potential costs associated with failures or liability claims.

Regulatory compliance also becomes significantly more streamlined with ISO 8800. The standard aligns closely with emerging global regulations, helping organizations stay ahead in meeting legal and procedural requirements. This proactive alignment not only speeds up product approvals but also positions organizations as leaders in regulatory adherence, further strengthening their market reputation.

Lastly, adopting ISO 8800 can unlock new opportunities for innovation and collaboration. By integrating these standards into their development processes, companies create systems that are interoperable and compatible with broader networks. This fosters collaboration with partners, suppliers, and stakeholders while driving industry-wide advancements. Ultimately, ISO 8800 serves as a critical enabler of long-term success in building safe, reliable, and scalable AI systems.

RELATED: Buyer’s Guide: Selecting a Requirements Management and Traceability Solution for Automotive

BEST PRACTICES FOR COMPLIANCE

Integrating ISO 8800 in Your Systems

• Start with a Gap Analysis: Identify areas where current practices fall short of ISO 8800 requirements.
• Develop a Comprehensive Safety Plan: Define clear safety goals and documentation protocols.
• Leverage Scalable Tools: Use model-based approaches to manage complexities in AI behavior.

Achieving compliance with ISO 8800 requires a well-structured and proactive approach. Begin by conducting a thorough gap analysis to evaluate your current processes against ISO 8800 standards. This initial step allows organizations to pinpoint specific areas where improvements are necessary, ensuring resources are allocated effectively. Following this, the development of a comprehensive safety plan is crucial. Such a plan should outline clear safety objectives, specify documentation procedures, and include ongoing evaluation mechanisms to ensure continuous improvement. It is essential to integrate roles and responsibilities across teams to foster
accountability and streamline implementation efforts.

Organizations should also invest in scalable tools to manage the inherent complexities of AI system behavior. Model-based approaches can be particularly effective, enabling teams to simulate, test, and validate system responses in a controlled environment. Additionally, prioritizing robust data management practices — such as ensuring data quality, traceability, and transparency — can strengthen the organization’s ability to identify risks and address them proactively. Regular training and awareness programs for staff are equally important to ensure alignment with compliance requirements and foster a culture of safety.

Finally, maintaining consistent communication with stakeholders, including regulatory bodies, industry partners, and end-users, helps build trust and demonstrates a commitment to adhering to ISO 8800. Establishing a feedback loop where compliance practices are periodically reviewed and refined will significantly enhance both reliability and long-term industry credibility.

By embedding these best practices, organizations can ensure a robust framework for safety and compliance while keeping pace with evolving industry standards.

DOWNLOAD THE ENTIRE WHITEPAPER TO LEARN MORE FAQS ABOUT ISO 8800:
Navigating AI Safety with ISO 8800 in Road Vehicles

The post Navigating AI Safety with ISO 8800 in Road Vehicles appeared first on Jama Software.

Jama Software is always looking for news that would benefit and inform our industry partners. As such, we’ve curated a series of customer and industry spotlight articles that we found insightful. In this blog post, we share an article from VDA, titled “Automotive Industry Signs Memorandum of Understanding”, written by Lena Anzenhofer and published on June 23, 2025.

Automotive Industry Signs Memorandum of Understanding

Automotive industry signs Memorandum of Understanding for joint software development based on open source

Collaboration for more speed, efficiency, and security in software development and the basis for an open and collaborative ecosystem
With the support of the German Association of the Automotive Industry (VDA), 11 companies in the automotive industry have agreed on pre-competitive cooperation in open source software development.

A corresponding Memorandum of Understanding (MoU) was signed today at the 29th International Automotive Electronics Congress (AEK).

With the increasing importance and complexity of vehicle software, it is becoming critical for the industry to increase speed and efficiency in development while ensuring high quality and safety.

RELATED: Jama Connect^® for Automotive

A significant portion of the vehicle software is not directly accessible to the user and therefore not differentiating. This fact allows the corresponding software modules to be developed jointly in an open and collaborative ecosystem.

In order to achieve the necessary functional safety for automotive series software, a groundbreaking development process for open source was developed in preparation for certification according to the relevant standards.

In addition, by providing executable software modules instead of detailed specifications, standardization and increased development speed are achieved through the so-called code-first approach.
The software development takes place in a transparent and vendor-independent environment of the Eclipse Foundation as part of the S-CORE project.

This ecosystem is open, both through software interoperability with relevant industry standards and for contributions and collaboration from other European and international companies.

The initiative’s timeline envisages that the software scope for series development of a platform for autonomous driving will be available in 2026.

The modular software scope can be adapted or expanded and then made available to the industry as a customized distribution for series development. This allows manufacturers and suppliers to focus on differentiating features while maintaining core components together. This creates a strong foundation for innovation – and the freedom to focus on what makes the difference for the customer.

“Together we are building a future-proof and powerful software ecosystem – open, transparent and secure,” VDA Managing Director Dr. Marcus Bollig said.

You Can Download the Memorandum of Understanding Here

Further quotes from the companies:

BMW Group
Dr. Christoph Grote, SVP Electronics and Software
“The BMW Group believes that integrated ecosystems with open-source platforms and tools are a key driver for the development of mobility solutions. A shared code-first approach will be the foundation for functional innovations in our future products. We are committed to ECLIPSE S-CORE as a promising open-source approach for our upcoming projects.”

Continental AG
Karsten Michels, Head of Product line “High Performance Computer”, BA “Architecture and Network Solutions”
“By uniting open-source and virtualization with safety certification and standardization, Continental’s contribution to an open and safe HPC Middleware Stack accelerates the transition to Software Defined Vehicles and significantly reduces time-to-market.”

ECLIPSE Foundation
Mike Milinkovich, Executive Director
“Collaboration in the development of secure and open-source automotive platforms is a critical factor for the automotive industry. The Eclipse Foundation’s governance model enables open collaboration between OEMs, tiers, and tech players within the Eclipse SDV Working Group. We recognize the trust placed in us as the stewards of such a strategic initiative and embrace the challenge of making it a success.”

ETAS GmbH
Dr. Thomas Irawan, CEO
“Building on our role as a pioneer in automotive platform software, we are driving industry-wide innovation through an open source ecosystem, accelerating time to market, and delivering safe and sustainable solutions for the mobility of tomorrow.”

RELATED: Buyer’s Guide: Selecting a Requirements Management and Traceability Solution for Automotive

HELLA GmbH & Co. KGaA
Dr. Dietmar Stapel, Vice President Product Segment Radar
“We are pleased to support the Automotive Grade Open Source Ecosystem. Open, common standards are essential for secure integration and form the foundation for delivering innovative, value-added automotive features.”

Mercedes-Benz AG
Magnus Östberg, Chief Software Officer
“As the creators of the automotive open source ecosystem, we are actively driving the future of automotive software with our code-first strategy. This is our clear commitment to open standards as the foundation for innovation.”

Qorix
Markus Schupfner, CEO
“Qorix is committed to a powerful, open software ecosystem that combines functional safety and the speed of innovation – from architecture to production deployment.”

Robert Bosch GmbH
Dr. Mathias Pilin, CTO Mobility
“We promote software solutions that integrate seamlessly across vehicle platforms, systems, and supplier technologies – for a software-defined mobility of the future.”

Valeo Brain Division
Joachim Mathes, CTO
“Valeo has decided to join S-CORE and contribute key elements of its vOS to the stack. We are confident that a greater level of standardization and reuse will benefit the entire industry.”

Vector Informatik GmbH
Dr. Matthias Traub, Managing Director
“With our joint initiative for an open software ecosystem for automotive ECUs, we are adding a powerful tool to the industry’s HPC full-stack toolbox.”

Volkswagen AG
Dr. Oliver Seifert, Vice President R&D Infotainment and Connect at Dr. Ing. h.c. F. Porsche AG
“Through this open source ecosystem in automotive development, we shorten the time to market, reduce application development effort, and drive innovation.”

ZF Friedrichshafen
Torsten Gollewski, Executive Vice President Corporate R&D Innovation & Technology
“Software development based on open source is the key to greater efficiency and speed. This is necessary to remain internationally competitive. The VDA initiative is a good example of the benefits that collaboration can bring.”

The post Automotive Industry Signs Memorandum of Understanding appeared first on Jama Software.

Jama Software is always looking for news that would benefit and inform our industry partners. As such, we’ve curated a series of customer and industry spotlight articles that we found insightful. In this blog post, we share an article from AEC Business, titled “Construction’s Next Leap: AI as a Strategic Partner”, and written by Aarni Heiskanen and published on May 24, 2025.

Construction’s Next Leap: AI as a Strategic Partner

In this episode of the AI AEC Show, Aarni Heiskanen welcomes back René Morkos, PhD, the visionary founder and CEO of ALICE Technologies, to explore the latest advances in artificial intelligence for construction scheduling and project optimization.

The Shift: Generative AI Comes to Construction

Since their last conversation, René highlights the most significant change in the construction tech landscape: the rapid rise of generative AI and large language models (LLMs). These tools are fundamentally altering how project data is accessed, analyzed, and leveraged across the industry.

René explains how ALICE Technologies has embraced this transformation by developing two AI-driven scheduling agents. These agents don’t just generate optimized schedules—they can also interact conversationally with planners, offering insights into delays, critical tasks, progress updates, and more. This represents a leap from static scheduling tools to dynamic, intelligent collaboration.

RELATED: Expert Perspectives: The Shift Towards Systems Engineering in the Architecture, Engineering, and Construction (AEC) Industry

Breaking Down Data Silos

One persistent challenge in construction is fragmented and unstructured data. AI offers a promising way forward. René points to solutions like Trunk Tools, which allow users to query entire project datasets in natural language—”Show me the change orders” or “Summarize this RFI”—without needing to manually sift through files.

This democratization of data access, powered by AI, is eliminating a long-standing bottleneck in construction project management.

A Platform for Optimization

René also discusses how ALICE’s platform not only helps plan construction projects but actively explores “what-if” scenarios—testing and comparing thousands of possible construction strategies. This simulation-based approach enables teams to reduce risk, save time, and improve project outcomes with confidence.

RELATED: Six Key Challenges in the Architecture, Engineering, Construction, and Operations (AECO) Industry and How to Solve Them with Jama Connect>sup>®

The Road Ahead

Looking forward, René envisions an increasingly automated construction planning ecosystem. As he puts it, we’re moving toward a future where the question is not just “what’s the plan?” but “what’s the best possible plan, and how do we know?” AI will provide the answers.

Takeaway: AI is not just a support tool—it’s becoming a decision partner in designing, scheduling, and executing construction projects.

The post Construction’s Next Leap: AI as a Strategic Partner appeared first on Jama Software.