Bigdata.com is expanding its partnership with Model ML, giving Model ML's digital teammates direct access to licensed news, filings, transcripts, and sentiment data, with full source attribution built in.
By
Bigdata team
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Bigdata.com, the AI grounding layer for finance built by RavenPack, is expanding its data partnership with Model ML, the platform behind digital teammates for finance. Starting today, Model ML users with a Bigdata.com license can bring licensed content and analytics directly into the agents they build, so every memo, model, and client deliverable is backed by fully attributed, institutional-grade data.
Availability: live today for all Model ML users with a Bigdata.com license, with no extra setup required.
Three workflows this unlocks
Model ML customers can immediately put Bigdata.com's data to work across several agent workflows, including:
Sentiment Tracker: track market sentiment as it forms, drawing on signals from more than 10 million documents processed every month.
Company Briefs: assemble a complete picture of a company from fundamentals, filings, and press releases in a single step, rather than pulling each source by hand.
Thematic Exposure Scan: trace a theme's footprint across filings, premium news, analyst research, and alternative data in one view.
A shared data layer
Bigdata.com and Model ML have worked together for some time already: institutional users on Bigdata.com search and retrieve Model ML's proprietary Global Filings data as part of their everyday research on the platform.
This expansion turns that into a shared data layer. Model ML's agents can now query Bigdata.com's licensed catalog and proprietary data (premium news, podcasts, expert interviews, filings, transcripts, and entity-level sentiment) from inside the Model ML workspace, with full source attribution. The result is a two-way pipeline: Model ML's proprietary filings enrich Bigdata.com, and Bigdata.com's breadth of financial content enriches Model ML.
The bigger picture
As finance teams lean further into agentic workflows, trust in the output starts with trust in the input. This partnership puts Bigdata.com's rigorously sourced, entity-tagged, continuously refreshed dataset directly behind Model ML's agents, so the teams building on Model ML get speed without giving up traceability.
Want to bring Bigdata.com's data into your own workflows? Reach out to our team to get started.
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