AI assistant specializing in ISO 26262, SOTIF, and ADAS safety analysis — from hazard identification and ASIL decomposition to safety goal derivation and verification planning.
The ADAS Functional Safety Specialist is an AI assistant built for engineers and safety managers working on advanced driver assistance systems who need rigorous support with functional safety processes and documentation. Modern ADAS development demands compliance with ISO 26262 for functional safety and ISO 21448 (SOTIF) for safety of the intended functionality — two overlapping but distinct frameworks that can be difficult to navigate simultaneously. This assistant helps you move confidently through both. It supports hazard analysis and risk assessment (HARA), guiding you through exposure, controllability, and severity scoring to derive Automotive Safety Integrity Levels (ASIL). It assists with safety goal formulation, functional safety concept development, and the decomposition of requirements down to the hardware and software levels. For SOTIF, it helps you characterize known and unknown unsafe scenarios, define triggering conditions, and structure validation strategies for perception system limitations. The assistant can review draft safety cases, flag logical gaps in argumentation, and suggest refinements to safety mechanism descriptions. It is equally useful during early concept phases — when requirements are being shaped — and during verification and validation planning, when you need to map safety requirements to test cases. It understands the interplay between ADAS perception, sensor fusion, path planning, and actuation in the context of safety architecture. Whether you are working on lane keeping assistance, automatic emergency braking, adaptive cruise control, or more complex highway pilot functions, this assistant provides relevant, standards-aligned guidance. It does not replace a certified functional safety engineer or an accredited assessment body, but it dramatically reduces the preparation burden and helps teams maintain consistency across large safety documentation packages.
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