# CovenantSentinel

- **Event:** [RAISE Summit Hackathon](https://cerebralvalley.ai/e/raise-summit-hackathon)
- **When:** Jul 4 at 9:00 AM – Jul 5 at 7:00 PM (GMT+2)
- **Where:** Paris, France
- **Team:** [Yamina ATMAOUI](https://cerebralvalley.ai/u/yaminaATM)
- **GitHub:** https://github.com/YAMINA-2109/covenant-sentinel
- **Demo video:** https://www.youtube.com/watch?v=FSCzooRhRhI
- **Gallery:** https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/6

CovenantSentinel is an agentic covenant-compliance auditor for credit teams. Banks and private-credit funds check loan covenants by hand every quarter — reading a 40-page agreement, finding the right figures (LTM vs quarterly!), checking whether a preliminary number was superseded, computing, comparing — across hundreds of borrowers. It's slow, error-prone, and a missed breach is a real loss.

CovenantSentinel does this like a senior analyst that doubts itself and proves its work. A LangGraph agent plans the audit, retrieves across documents (multi-turn), computes every ratio with deterministic Python tools (the LLM never does arithmetic), decides breach / at-risk / conflict, and loops back to retrieve more when it finds a gap. An adversarial Critic then re-checks every finding — verifying each citation mechanically in code — and overturns false positives. It delivers a cited escalation memo (downloadable as a print-ready PDF) with a grounded "Ask the auditor" Q&A.

You watch it reason live. On the ACME case it confirms a real 3.70x leverage breach, eliminates a false liquidity breach by citing the contract's supersession clause, and flags interest coverage drifting toward a Q4-2026 breach — every number traced to a tool call and a verbatim quote, with a confidence score that is a published formula, not a guess.

Built entirely during the event on Vultr Serverless Inference (Qwen3.5-397B) + VultronRetriever hybrid retrieval. Trust — deterministic math, code-verified citations, formula-based confidence — is what makes an AI auditor usable in regulated finance. That's the moat, and the wedge into a multi-trillion-dollar private-credit market.

Live demo (deployed end-to-end on a Vultr Cloud Compute VM): http://95.179.216.167/

## More from RAISE Summit Hackathon

- [SKAI](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/3)
- [Ouday Benabid](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/4)
- [Helius](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/5)
- [Joestar](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/7)
- [NULL1](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/8)
- [InnovateZ](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/9)

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Markdown version of https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/6. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt