Pyligent is a cloud‑based platform that extracts policy constraints from unstructured collateral agreements and integrates heterogeneous asset data to run mixed‑integer optimization, delivering cost‑aware allocation recommendations. The system provides a clear recommendation with detailed rationale, audit‑ready documentation, and interactive scenario analysis for treasury, collateral management, and risk teams.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions and corporates must allocate collateral assets to meet agreement requirements, but the governing rules are embedded in lengthy legal documents while asset data resides in disparate systems. This forces manual stitching of rules and data, leading to slow, error‑prone decisions and limited auditability.
Solution
Pyligent provides a cloud‑based platform that ingests unstructured agreement language and heterogeneous collateral inventories, translates the legal terms into actionable policy constraints, and runs optimization algorithms to generate cost‑aware allocation recommendations. The system produces a clear recommendation with a detailed rationale, an audit trail, and scenario analysis tools that allow users to explore alternative allocations. By automating the translation of legal rules and the optimization process, Pyligent reduces decision latency, lowers operational costs, and ensures compliance evidence is readily available for internal governance and external auditors.
Target Audience
Primary users are treasury, collateral management, and risk‑control teams at banks, asset managers, and large corporates that need to allocate assets under complex legal agreements.
Features
- Natural‑language processing pipeline that extracts policy constraints from contracts, schedules, and eligibility clauses
- Integration connectors for pulling collateral data from multiple internal systems and market data feeds
- Mixed‑integer programming (CP‑SAT) optimizer that balances cost, risk (CVaR90), and operational constraints
- Interactive dashboard offering executive summary, solver validation, and scenario‑analysis views
- Built‑in audit artifacts that document rule extraction, optimization steps, and final recommendation for regulatory review
- Configurable risk‑adjustment knobs (e.g., tail‑risk penalty μ, breach pricing γ) to align with governance policies