FactSet, a global financial digital platform and enterprise solutions provider, has announced the beta release of AI Doc Ingest for Cobalt, a powerful AI-powered solution designed to revolutionize portfolio company data collection for private capital managers.

“Private equity, growth, venture capital, and private credit firms have long struggled with fragmented, manual portfolio data collection, relying on rigid templates, cumbersome plugins, and repeated reconciliations between teams. As portfolios expand and the demand for trustworthy AI-ready data increases, these inefficiencies compound, slowing reporting cycles, valuations, and other downstream workflows, and increasing operational risk,” said Emily Monaghan, Senior Vice President and Senior Director, Private Capital at FactSet. 

“FactSet has consistently invested in cutting-edge AI technology to address these challenges and lead the industry forward. With AI Doc Ingest for Cobalt, FactSet is delivering a breakthrough solution that automates data extraction and ingestion, reflecting our commitment to innovation and helping clients unlock greater accuracy, transparency, and efficiency in their reporting and investment workflows.”

FactSet’s AI Doc Ingest for Cobalt eradicates private capital workflow bottlenecks with a frictionless workflow that enables clients to securely upload raw source files and effortlessly extract, validate, and publish structured data, regardless of file format or changing document structures. By harnessing AI technology that, unlike competitors, needs no client-side training, AI Doc Ingest adapts instantly to evolving reporting formats, thereby removing hidden costs and reducing onboarding time.

This empowers firms with high volumes of source documents to unlock granular, real-time insights that would otherwise take hours to unearth or remain buried in opaque, disconnected files, giving private capital professionals a measurable edge in reporting accuracy, speed, and investment analysis.

FactSet's AI Doc Ingest leverages advanced AI capabilities in the market to extract data from PDFs, Excels, board decks, and other source files, then transforms it into a flexible, client-defined data model within Cobalt's Portfolio Monitoring platform. 

This seamless workflow powers clients' use of that data for reporting and analytics, valuations, and consumption through AI tools and workflows.

“Early beta users, including multinational private equity firms, mid-market growth investors, and venture capital managers, have seen dramatic improvements in both efficiency and usability,” said Monaghan. 

“Clients report reducing formerly multi-day document processes to just minutes, while investment teams appreciate eliminating tedious manual mapping and gaining the flexibility to review and selectively import financial data. Across the board, beta users have praised the intuitive validation interface and the ability to view extracted metrics side-by-side with their source documents, helping them streamline workflows and maintain confidence in their reporting.”

AI Doc Ingest for Cobalt is available in beta to select clients in North America, with general release scheduled for March 2026. Rollout is planned for Europe in late spring 2026.