AI coding agents write code in minutes. In regulated software, that only matters if you can prove the code follows your rules.
Straion is the trust layer for AI coding agents in regulated industries, focusing on embedded systems. Your rules are applied while the agent writes the code, not after, and every rule ends with a recorded verdict your auditors can trace.
How it works
→ One place for your coding standards, architecture rules, security policies and regulatory requirements: MISRA, ISO 26262, IEC 62304, DO-178C and your internal guidelines
→ Each agent (Claude Code, Cursor, GitHub Copilot, Codex) gets only the rules that apply to its current task
→ Straion checks the agent's plan before it writes a line of code
→ Every rule gets a verdict: met, fixed, or an exception a person approved
→ The agent can't finish with open decisions, and it can't edit the record
What you get
→ Code that reaches review already following your rules
→ A traceable evidence trail for your quality, safety, regulatory and security teams
→ Fewer review rounds, less rework and lower token spend
Why it's different
Linters, static analysis and AI review bots find problems after the code exists. Straion works one step earlier, when the agent decides what to write. It complements your verification tools and certification process; it doesn't replace them.
Built for engineering, quality, regulatory and product security teams building embedded software in automotive, autonomous vehicles, medtech, aerospace and drones.
Founded in Linz, Austria, by engineers who built build systems and developer tooling at Netlify, Dynatrace and Elastic. Backed by Marathon Venture Capital.
Rolling out AI coding agents on embedded code? Let's talk: straion.com
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Branche
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Softwareentwicklung
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Größe
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2–10 Beschäftigte
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Hauptsitz
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Linz
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Art
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Privatunternehmen
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Gegründet
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2024
