Deterministic field-mapping engine normalizing fund accounting exports into a canonical 11-entity schema, conforming to AICPA Audit Data Standards.
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Updated
May 30, 2026 - Python
Deterministic field-mapping engine normalizing fund accounting exports into a canonical 11-entity schema, conforming to AICPA Audit Data Standards.
Multi-agent adversarial auditor for complete fund document sets — four role-specialized agents, with all financial figures deterministically recomputed before any reasoning begins.
Draft financial statement comparison engine — dual-threshold variance detection with findings mapped to ASC 946, 820, 825, 326, and 275.
Fund document intelligence — schema-validated extraction from LPAs, PPMs, capital account statements, and side letters via PDF vision.
LPA-driven distribution waterfall calculator. Its tier engine was extracted into the shared library the rest of the FundLens suite now runs on.
Fund performance scenario projection across IRR and TVPI trajectories under varying assumption sets.
LP capital lifecycle and waterfall modeler — call pacing, preferred accrual, peak funding need, and J-curve dynamics. Validated against an independent second model.
The decision layer ESG platforms leave empty: computes how much to hedge and how much to disclose, from four SSRN papers. React + TypeScript, zero backend.
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