There is a wealth of information contained in documents like SEC filings, FDD disclosures, pitch decks, and more. Datalab's state of the art models and platform do the heavy lifting and enable teams to focus on what they do best: make informed investment decisions, run comparative analyses and simulations, all without being bogged down by tabs of documents and manual entry into spreadsheets.

Whether you're using confidential data internally or pulling from publicly available content, the task remains the same: parse these documents, get key metrics out of them, and store it in a way that is actionable. The best part is it gives you peace of mind - extraction is accurate and includes citations back to the original blocks from your document so it's easy to trace data provenance when you need auditability later.

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Datalab offers a lot of deployment flexibility, from an interactive playground where you can test and evaluate different settings (Forge), an API and SDK that let you scale up your workloads and evaluate batches of documents, and an on-prem container that can be deployed on your infrastructure and is optimized for throughput.

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