Your challenges - solved
Processes that fit your development
You know your product best.
We make safety fit your workflows – not the other way around.
Our engineers integrate SOTIF and Functional Safety principles directly into your development processes, reducing complexity and accelerating compliance.
Clear guidance, seamless integration, predictable outcomes.
Manage your Operational Design Domain
Rain, fog, highways, cities – the environment defines your system.
We help you structure your Operational Design Domain (ODD) according to industry standards, map environmental influences to system behavior, derive constraints, requirements, and safety mechanisms, and prepare for edge cases and real-world uncertainties.
Your system becomes robust, reliable, and truly ready for the real world.
Explainable statistics to understand system limitations
Autonomous systems must anticipate what comes next.
We connect quantitative risk assessment, Bayesian reasoning, and performance limits to give you explainable statistical insights, transparent safety arguments, early detection of potential triggers, and measurable evidence for ISO 21448
You gain clarity where systems face uncertainty.
Address the entire V-model
from requirements to testing
Whether you're starting a new autonomy program or scaling advanced systems, we meet you exactly where challenges begin. With deep experience across domains, teams, and development stages, we deliver the safety support your project needs: from structured analysis and proven templates to hands-on engineering, training, and certification. A dependable partner from concept to deployment.
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Design your level of autonomy
Every autonomy feature starts with a use case. Suddenly you face infrastructure constraints, weather variations, sensor limitations, and unpredictable actors. We help you turn your ODD into actionable constraints, clear requirements, safety-relevant scenarios, and measurable acceptance criteria Complexity becomes manageable. Compliance becomes achievable.
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Machine Learning safety
Machine Learning evolves fast – but safety must keep pace. We support you with ML model analysis & explainability, data pipeline structuring, alignment with ISO 8800, SOTIF, and automotive safety processes, risk-oriented model evaluation, and the integration of ML behavior into safety arguments.
Your ML innovations become not only cutting-edge – but certifiably safe.This email address is being protected from spambots. You need JavaScript enabled to view it. -
Scenarios and testing
Scenarios are not just situations – they are the backbone of SOTIF. We help you identify relevant scenarios, classify hazardous vs. safe behaviors, prioritize what truly matters, derive coverage needs for testing, and build scenario-driven safety arguments.
Your product will meet real-world requirements – for you and for your clients.This email address is being protected from spambots. You need JavaScript enabled to view it.
Common challenges when meeting an Operational Design Domain
What's relevant? Understanding the standards
The standards landscape is huge – from ISO/PAS 8800 to SOTIF and beyond.
We help you determine which standards matter for your product, how they impact your architecture, what evidence you need, and how to stay compliant without slowing down development.
Compliance becomes a strategic advantage.
Isn’t safety just documentation?
Spoiler: It’s not. Documentation alone won’t pass audits or real-world validation. Safety is engineering – structured reasoning, justified assumptions, and evidence that stands up under scrutiny.
We help you build systems that are defensible, explainable, traceable, and grounded in solid engineering
Not just documented – trusted.
Where are we? How your target environment shapes your system
Context is everything. A system that works in simulation may fail in real environments.
We help you analyze and adapt to
road infrastructure, weather conditions, traffic density, operational constraints, and edge-case environments
Your system becomes ready for where it’s going – not just where it’s tested.
Think Holistically
AI doesn’t play by the old rules.
Learning, uncertainty, and adaptation challenge traditional safety assumptions. We help you build robust safety arguments—rooted in architecture, backed by rigorous analysis, and aligned with ISO 26262 and ISO/PAS 8800.
Autonomous systems will always encounter unexpected situations.
We help you identify, model, and manage these unknowns — turning uncertainty into measurable, explainable safety.
Because true safety means being prepared for what cannot be predicted.
