Caventia is the work of one founder with a specific résumé and a specific argument.
Founder & CEO
Ashish K. Saxena
Amazon FinTech alum. Author. IJSR reviewer. Forty-two peer-reviewed papers.
- Amazon FinTech — 40% fraud reduction, 75% processing-error reduction at scale
- Author, The Ethics of Artificial Intelligence (2024) & Society and the Machine
- 42 peer-reviewed papers · 37 citations on flagship FinTech fraud-detection paper
- IJSR (International Journal of Scientific Research) reviewer
- IEEE TEMSCON & ISTAS contributor
- Best Technical Researcher of AI 2024
- London Book Festival winner 2024 · Marquis Who's Who
At Amazon FinTech I watched smart engineers ship models that moved billions of dollars in payments, and I watched the model risk function struggle to keep up. We were good at the engineering. We were not great at the documentation an examiner expects under SR 11-7. The gap kept widening.
Then generative AI arrived. Suddenly every business unit wanted an agent. Suddenly every agent was making decisions that touched fair-lending, fraud, KYC, and clinical care. The horizontal AI governance vendors that sprang up in 2023 and 2024 — Credo, Fiddler, Arthur — were doing useful work, but none of them were shipping the artifact a Federal Reserve examiner asks for. The language did not match. The schema did not match. The mental model did not match.
Caventia exists because the next decade of AI inside regulated industries needs a platform whose first principle is not “make AI safe” but “make AI legible to the specific regulator who is going to read it.” That is a vertical problem. SR 11-7 is not the same as the FDA's 510(k) is not the same as ECOA. The artifact your OCC examiner expects is not the artifact your IRB expects. We built the platform around the artifact, not the other way around.
The bet is simple: in the regulated half of the AI market, the winning platform will be the one whose evidence ledger is examiner-ready by construction. Caventia is that ledger.