Limited Partners face a structural data challenge. The documents they receive from GPs — capital call notices, distribution notices, quarterly reports, LP letters — contain critical investment data locked in unstructured formats. Most LPs still extract this information manually, creating fragile spreadsheets that are expensive to maintain and difficult to scale.
Private Labs solves this with purpose-built AI that transforms GP documents into a clean, institutional-grade database of private market investments. Our extraction engine reads fund look-through data, LP positions, and cash-flow events with 99% accuracy — turning what typically takes hours of manual work into minutes.
But accuracy alone isn’t enough. What makes Private Labs distinctive is the control architecture surrounding the AI. A first validation layer lets operations teams oversee every extraction before it enters the database. A second layer ensures consistency across reporting cycles, automatically flagging discrepancies and duplications. This combination of intelligent automation and rigorous data governance is what delivers truly reliable private market data.
Once validated, the data unlocks powerful capabilities. LP portfolios are constructed automatically from source documents. Look-through decomposition provides full granularity across sectors, geographies, and asset types. Financial KPIs at the portfolio company level give LPs genuine visibility into leverage, valuation, and financial health.
Our AI Reporting module completes the picture, letting users query their data conversationally and generate custom reports with tables, charts, and commentary — all from natural language prompts.
Private Labs represents a new generation of LP infrastructure: AI that doesn’t replace human judgment, but finally gives it the data it deserves.