Calvin Risk is building the assurance layer for enterprise AI — helping organizations understand, measure, and govern AI systems in production.



AI is becoming a foundational technology across industries. Yet most organizations still lack a reliable way to understand how these systems behave, how risks evolve over time, and how decisions can be justified.
Traditional approaches (static testing, fragmented governance, manual processes) were not designed for systems that continuously change.
We believe AI systems cannot be trusted by default. They must be made measurable, controllable, and auditable. Calvin Risk exists to define and implement how this is done.
Calvin Risk is an ETH Zurich spin-off, combining financial services, and other industries to establish how AI systems can be reliably operated in production
We work with leading organizations across insurance, financial services, and other industries to establish how AI systems can be reliably operated in production environments. Our partners and investors support us in building a new standard for AI assurance.

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Our team combines expertise across machine learning, software engineering, and risk management — bridging how AI systems are built and how they must behave in practice.
We are building the infrastructure and methodology that will define how AI systems are tested, evaluated, and governed. If you work at the intersection of AI, systems, and real-world impact — we'd love to hear from you
Dont see your role listed? If our mission interests you and fits your skillset, we still want to hear from you. Just send us an e-mail with your CV attached.
Ready to assure your AI systems? Learn how your systems behave and make them trustworthy by design.
Ship systems that behave reliably
Establish continuous, defensible oversight
Scale AI without hidden risk