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DataCells.ai / DataCells
Document data extraction

Turn dense documents into structured, reviewable data.

DataCells reads private credit contracts, financial statements, and disclosures and extracts the key terms your team needs — structured, source-linked, and ready for review.

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DataCells — credit agreement.pdf
SOURCE DOCUMENT

…the Borrower shall pay interest at SOFR + 525 bps with a maturity of 15 Jun 2029 and a 2.0x leverage covenant…

EXTRACTED TERMS
SpreadSOFR + 525bps
Maturity15 Jun 2029
Leverage cov.2.0x
Facility size$120.0M
How it works

Define the fields once. Extract them everywhere.

Tell DataCells which terms matter — spreads, covenants, dates, parties — and it extracts them from every document into a consistent schema, with each value linked back to where it was found.

Credit agreementsFinancial statementsDisclosuresTerm sheets
Key capabilities

What DataCells does for your team.

Custom extraction schemas

Configure the exact fields your team tracks, per document type — no rigid templates.

Source-linked values

Every extracted value points back to the page and clause it came from, for fast verification.

Review & correction loop

Reviewers confirm or correct low-confidence fields; the system learns your preferences over time.

Export to your systems

Push structured output to Excel, your data warehouse, or portfolio monitoring tools.

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Stop re-keying terms by hand.

Schedule a focused discussion about your workflow, priority use cases, and which DataCells.ai solution may be the best fit.

Business-focused discussion Solution walkthrough or demo Deployment and commercial options
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Choose a convenient time.

Pick a slot that suits you and we'll take it from there.

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