FactSet Launches AI Doc Ingest for Cobalt, Transforming Private Capital Data Collection with AI-Powered Automation
Rhea-AI Summary
FactSet (NYSE:FDS) launched AI Doc Ingest for Cobalt, a beta AI-powered document extraction solution for private capital data collection that requires no client-side model training. The tool extracts and maps data from PDFs, Excel, and decks into Cobalt Portfolio Monitoring.
Beta is available to select North America clients; general release is scheduled for March 2026, with Europe rollout in late spring 2026. FactSet says beta users cut multi-day document processes to minutes and gain traceability via audit trails.
Positive
- Beta available to select North America clients now
- General release scheduled for March 2026
- Eliminates client-side model training, reducing onboarding time and hidden costs
- Beta users report condensing multi-day processes into minutes with audit trails
Negative
- Currently limited to select North America clients during beta
- Production reliability and scaled performance remain unproven until post-release
Market Reality Check
Peers on Argus
Several data/market infrastructure peers were also weak: TRU -9.18%, NDAQ -8.9%, MORN -7.61%, MSCI -4.85%, while CBOE +1.74%. FDS at -10.51% underperformed, pointing to stock-specific pressure beyond broader peer softness.
Previous AI Reports
| Date | Event | Sentiment | Move | Catalyst |
|---|---|---|---|---|
| Dec 16 | AI data access launch | Positive | +0.3% | Announced production-grade MCP server giving AI direct access to datasets. |
| Sep 09 | AI fixed income data | Positive | -0.7% | Integrated MarketAxess AI CP+ bond pricing into FactSet Workstation. |
| May 07 | AI partner program | Positive | +2.4% | Partnered with CredCore to power AI in debt capital markets using DCS data. |
| Jan 15 | AI pitch tool launch | Positive | -0.0% | Launched GenAI Pitch Creator to automate investment banking pitchbooks. |
| Apr 30 | AI portfolio commentary | Positive | -1.4% | Introduced AI-driven portfolio commentary for performance attribution analysis. |
AI-related announcements have produced mixed reactions, with 3 divergence events vs 2 aligned moves, suggesting markets do not consistently reward FactSet’s AI news.
Over the past two years, FactSet has steadily expanded AI capabilities across workflows. Prior AI-tagged releases included an MCP server for real-time data access (Dec 16, 2025), AI-powered fixed income pricing with MarketAxess CP+ (Sep 9, 2025), AI-enabled portfolio commentary (Apr 30, 2024), and productivity tools like AI Pitch Creator (Jan 15, 2025). Price reactions to these AI launches were modest and often muted. Today’s AI Doc Ingest for Cobalt continues that strategy by targeting private capital portfolio data automation.
Historical Comparison
Past AI-tagged announcements produced an average 0.12% 24-hour move, indicating historically modest and mixed market reactions to FactSet’s AI initiatives.
AI news has evolved from portfolio commentary and pitch tools to data access (MCP server) and now private capital portfolio monitoring, showing a broadening of AI use cases across workflows.
Market Pulse Summary
This announcement extends FactSet’s AI roadmap into private capital workflows, adding automated document ingestion and portfolio monitoring within Cobalt. Prior AI-tagged updates, such as MCP data access and AI portfolio commentary, saw modest average moves of 0.12%, suggesting measured market responses so far. Key factors to watch include beta client adoption, timing of the March 2026 general release, European rollout later in 2026, and how quickly the tool reduces reporting cycle times for users.
Key Terms
ai doc ingest technical
portfolio monitoring platform technical
kpis technical
AI-generated analysis. Not financial advice.
By eliminating the need for client-side model training, private capital firms can now gain speed, accuracy, and data transparency with a new automated solution for ingesting portfolio company documents
NORWALK, Conn., Feb. 04, 2026 (GLOBE NEWSWIRE) -- FactSet (NYSE:FDS | NASDAQ:FDS), a global financial digital platform and enterprise solutions provider, today 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.
Unlike competitive offerings reliant on legacy workflows and technology, or requiring costly, time-consuming model training, 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.
With the addition of Doc Ingest capabilities, key benefits are now available via FactSet’s Cobalt Portfolio Monitoring Platform:
- Dramatic Reduction in Manual Effort: Alleviates repetitive data entry for deal teams and streamlines data sharing for portfolio companies, condensing multi-day processes into minutes.
- Superior Data Accuracy and Transparency: AI-powered extraction minimizes human error; all extracted data is instantly traceable back to its source document through audit trails, enabling seamless validation and auditability.
- Accelerated Reporting Cycles: Enable faster LP, internal, and regulatory reporting, even as portfolios scale and complexity grows.
- Built to Scale and Adapt: No model training required; adapts evolving document formats while preserving the details in portfolio company financial statements and KPIs.
- Integrated Directly into Cobalt Workflow: Immediate, intelligent mapping to company data models, ensuring that clients invest their time in analysis, not administration.
“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.
Learn more about FactSet’s Cobalt Portfolio Monitoring Platform and its AI capabilities: https://www.factset.com/marketplace/catalog/product/portfolio-monitoring-platform.
About FactSet
FactSet (NYSE:FDS | NASDAQ:FDS) supercharges financial intelligence, offering enterprise data and information solutions that power our clients to maximize their potential. Our cutting-edge digital platform seamlessly integrates proprietary financial data, client datasets, third-party sources, and flexible technology to deliver tailored solutions across the buy-side, sell-side, wealth management, private equity, and corporate sectors. With over 47 years of expertise, offices in 19 countries, and extensive multi-asset class coverage, we leverage advanced data connectivity alongside AI and next-generation tools to streamline workflows, drive productivity, and enable smarter, faster decision-making. Serving more than 9,000 global clients and over 239,000 individual users, FactSet is a member of the S&P 500 dedicated to innovation and long-term client success. Learn more at www.factset.com and follow us on X and LinkedIn.
Investor Relations:
Kevin Toomey
+1.212.209.5259
Kevin.Toomey@factset.com
Media Relations:
Kelsey Goldsmith
+1.207.712.9726
Kelsey.Goldsmith@factset.com
FAQ
When will FactSet (FDS) make AI Doc Ingest for Cobalt generally available?
What does the AI Doc Ingest for Cobalt beta mean for FDS clients' workflows?
Does FactSet (FDS) require client-side model training for AI Doc Ingest for Cobalt?
Which file types can FactSet's AI Doc Ingest for Cobalt process for FDS clients?
Who has access to the AI Doc Ingest for Cobalt beta and where will it roll out?
