Cevant offers an intelligence infrastructure that uses AI‑driven reasoning agents to automatically detect cross‑document contradictions, surface hidden risks, and generate audit‑ready evidence for institutional analysts. Its dual‑agent system provides real‑time alerts on covenant drift and credit stress while maintaining a full traceable audit trail, enabling banks, asset managers, and corporate finance teams to make defensible, data‑backed decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Institutional decision‑making processes often rely on manual document review, which can miss cross‑document contradictions, hidden assumptions, and emerging risks, leading to incomplete analyses and audit challenges.
Solution
Cevant provides an intelligence infrastructure that augments analysts with AI‑driven reasoning agents. The “Sceptic” agent interrogates source material to surface contradictions and potential failure points before a case is built. The “Builder” agent then assembles verified evidence into structured, audit‑ready outputs that align with committee expectations. By integrating adversarial verification at scale, Cevant enables early detection of covenant drift, credit stress, and other leading‑indicator risks while maintaining a full traceable audit trail for regulatory and internal review.
Target Audience
Primary customers are institutional analysts, credit officers, and risk committees within banks, asset managers, and corporate finance teams that require rigorous, defensible analysis of large document sets.
Features
- Dual‑agent architecture: a Sceptic that challenges assertions and a Builder that constructs evidence from verified inputs
- Automated cross‑document contradiction detection to surface hidden risks missed by standard reviews
- Structured synthesis of findings into formats ready for committee presentation, complete with source traceability
- Real‑time leading‑indicator alerts for covenant drift and credit stress to support proactive risk management
- Enterprise‑grade audit trail that records every inference and data source to satisfy internal controls and regulatory scrutiny