How Kepler Built Verifiable AI for Financial Services — Vinoo Ganesh
Jul 29, 2026 · 22:30
Vinoo Ganesh, CEO of Kepler, argues that AI in financial services must be augmented with a deterministic substrate to produce verifiable work product, because language models are probability machines unreliable for arithmetic. Kepler's three tenets—atomic provenance (every number ties to its source and stripped if unverifiable), scope determinism (model plans but never computes; deterministic tools handle math), and derivation chains (every number's origin replayable)—ensure numerical accuracy. The system treats each extracted number like a pull request, with reconciliation ensuring entities are caught and nothing invented. Ganesh contrasts citations (after-the-fact audit) with verification (deterministic proof), and notes that compliance with regulators like the SEC requires traceable decision-making. Customers are most excited about reclaiming analyst time from tasks like reading earnings transcripts and building financial models, rather than replacing portfolio managers.
