Anthropic Spotlights Kepler for Verifiable AI in Financial Services
Kepler’s models extract the right line item from a 10-K 94% of the time. Frontier models alone score 38-46%. A recent Anthropic customer profile details the architecture.
Kepler, the verifiable AI platform for financial research, expanded on the architecture documented in a recent Anthropic customer profile, “How Kepler built verifiable AI for financial services with Claude.” The profile details a system built on a single thesis: language models alone cannot meet the rigor financial workflows require, and traditional financial software cannot match the flexibility analysts need from AI. Kepler’s architecture combines them. That combination is what makes the answers defensible in an IC memo or under audit.
Without an architecture around them, language models fabricate numbers, drop constraints mid-analysis, and produce answers no analyst can defend in an investment committee. Traditional financial software is rigid, slow to build, and breaks the moment a question departs from a pre-defined template. Other industries have moved on AI. Finance has held back, because no AI system has been able to clear its bar for verification.
