Corvair provides AI governance software for regulated institutions such as banks, insurers, and public‑sector bodies. Its Knowledge Substrate creates a governed knowledge and reasoning layer that attributes, grounds, and makes AI decisions provable against standards like the EU AI Act and NIST AI RMF, and the company also offers advisory services and research to support compliance.
Funding
Funding not disclosed
Founders
Product
Problem
A regulated institution must document the rationale behind every AI-driven decision to satisfy auditors and avoid compliance breaches, yet existing AI tools provide little traceability or alignment with regulatory frameworks.
Solution
Corvair delivers a governed AI platform that embeds compliance into the core of AI reasoning. Its Knowledge Substrate software catalogs 133 agentic‑AI risks across 15 categories and maps them to standards such as the EU AI Act, GDPR, NIST AI RMF, and industry‑specific regulations. The platform generates a validity warrant for each AI answer, automatically curates knowledge under steward governance, and records attribution metadata to produce audit‑ready documentation. Users—both human analysts and AI agents—access the same governed knowledge base via Ask, Search, Deep Research, or Canvas interfaces, ensuring consistent, provable outcomes. By integrating open‑format catalogs and bi‑directional data links, Corvair enables institutions to demonstrate defensible AI decisions to regulators without additional manual effort.
Target Audience
Primary customers are banks, insurers, and public‑sector organizations that are subject to AI regulatory oversight and require provable governance of their AI systems.
Features
- Central Knowledge Substrate that stores governed AI knowledge and risk metadata aligned to 15 regulatory categories
- Automated validity warrant attached to every AI response, providing provable justification
- Self‑tending, auto‑curated knowledge base governed by stewards to maintain up‑to‑date compliance mappings
- Unified access methods (Ask, Search, Deep Research, Canvas) delivering consistent attribution for both humans and AI agents
- Open‑format (OKF) support and bi‑directional catalog integration for seamless incorporation of external data sources
- Pre‑mapped risk catalog covering 133 agentic‑AI risks to frameworks such as EU AI Act, GDPR, NIST AI RMF, MAS AIRG, SR 11‑7, DORA, and PIPL