How Kepler built verifiable AI for financial services with Claude

4 hours ago

Kepler built a verifiable AI platform for financial services using Claude as the reasoning and interpretation layer, with a trust and verification infrastructure that validates every number to its exact source.
The platform indexes over 26 million SEC filings and other documents across 14,000+ companies and 27 global markets, allowing analysts to ask plain English questions and receive instantly verifiable answers.
Claude was chosen for its ability to handle long, multi-step tasks without drift, flag ambiguity, and keep humans in the loop, unlike other models that often dropped constraints or made silent errors.
Kepler engineered a multi-stage pipeline, using Claude Opus for complex reasoning and Sonnet for high-throughput tasks, and built deterministic execution environments, a proprietary financial ontology, and specialized models for recall.
The separation between Claude's reasoning and Kepler's deterministic infrastructure enables scalability, with full audit logging, siloed customer environments, and certifications like SOC 2 Type II to meet compliance requirements in regulated industries.

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