73 Strings for Private Credit

73 Intelligence connects the full private credit lifecycle in one platform, from extracting and structuring complex borrower data to monitoring portfolio performance and producing defensible valuations. Built for institutional finance, the platform delivers deterministic outputs, complete traceability, and audit-ready documentation at every step, giving firms a trusted foundation for intelligence, observability, and valuation.

Deliver faster, more defensible valuations with a complete audit trail from source data to final mark. 73 Value connects valuations to supporting evidence, helping committees, auditors, and LPs understand how each mark was reached.

Turn structured portfolio data into continuous intelligence. 73 Monitor helps firms track covenants, identify anomalies, monitor deteriorating credits, and understand what is happening across their portfolios. Firms can access 73 Monitor insights directly, connect through MCP, or leverage their own LLM and internal AI agents using trusted, structured portfolio data from the platform.

Extract and structure complex private credit documents with precision. 73 Extract transforms PDFs, emails, spreadsheets, and compliance certificates into structured, labeled, audit-ready data with up to 99% accuracy. Purpose-built for private credit, it handles changing formats and complex reporting requirements with consistency.

73 Intelligence provides a scalable SaaS platform designed for private credit. Integrate with existing systems, synchronize investment data, and create a single source of truth for credit securities, terms, and portfolio information.

Transform extracted data into actionable portfolio insights. AI-driven analytics help teams monitor credit risk, track covenant compliance, identify emerging issues, and improve decision-making through automated alerts, scenario analysis, and sensitivity testing.

When stakeholders ask, "How did you arrive at this value?" 73 Value provides the answer. Every valuation is linked to source documents, assumptions, changes, and approvals, creating a transparent process that does not rely on manual reconstruction or institutional memory.