Hack the ‘Trust’ in Financial AI! Kepler Builds an Unbreakable Verification Layer with Claude

📰 News Overview

• Building an Auditable AI Platform: Founded in 2025, Kepler has created “Kepler Finance,” a verifiable research tool tailored for financial analysts.
• Advanced Reasoning with Claude: Claude was adopted for its ability to maintain high consistency in complex financial calculations and constraints that surpass five steps, where other models tend to drop the ball.
• Integration with Deterministic Infrastructure: The AI reasoning (Claude) is separated from the deterministic execution environment that handles calculations and data acquisition, ensuring that every number can be traced back and verified against source documents.

💡 Key Points

• Addressing Uncertainty: Claude displays a unique behavior by not making assumptions on “ambiguous questions,” but instead asking the user for clarification. This feature has become a crucial differentiator in the “no room for error” world of finance.
• Content Engineering: Kepler prioritizes the “system-wide design,” optimizing not just prompts but also the structure (ontology) and boundary conditions of the information handed to the model.
• Overwhelming Data Processing: In under three months, Kepler indexed over 26 million SEC filings and more than 50 million public documents, covering 27 global markets.

🦈 Shark’s Eye (Curator’s Perspective)

In the realm of financial AI, the biggest hurdles have been “hallucinations (lies)” and “lack of transparency in calculation processes.” What sets Kepler’s approach apart is its strategic positioning of Claude not just as a chatbot but as a “command center for complex planning,” delegating actual calculations to a flawless deterministic system!

Especially in calculating “Inventory Days Outstanding,” which requires multi-layered reasoning, Claude stood out by maintaining the plan to the very end while other models started shortcutting by forgetting constraints at step 4 or 5. This insight is crucial for building practical AI agents—designing AI to pause and say “I don’t know” is the key to real trust!

🚀 What’s Next?

The standard will shift from “AI-generated numbers” to “numbers derived by AI that can be instantly audited by humans.” In the future, the work of junior analysts at hedge funds and investment banks will be dramatically automated by AI agents equipped with such verification layers!

💬 A Shark’s Take

In a sea of numbers, lies can be deadly! Kepler’s knack for leveraging Claude’s “seriousness” is just thrilling! 🦈🔥

📚 Glossary

• Deterministic Infrastructure: A system that consistently produces the same output for the same input. Unlike AI (which is non-deterministic), it’s free from calculation errors and randomness, making it ideal for financial calculations.

• Ontology: A structured system of knowledge that defines and relates financial concepts and formulas. This allows AI to process terms like “revenue” based on precise definitions.

• Indexing: The process of organizing and storing massive amounts of document data so that AI can search and reference it quickly. Kepler has efficiently processed vast public documents in a short time frame.

• Source: How Kepler built verifiable AI for financial services with Claude