Case studies
21 real deployments — the file that came in, the agents that ran it, and what the team got back.
Runs candidate screening as a governed case pipeline — documents read, details validated against guidelines, every close approved by a verifier.
One governed pipeline that gathers, classifies, and extracts asset data from every source and format — new data types onboarded in hours, not sprints.
AI drafts contracts from your clause library, tracks every negotiation change across versions, and shows clause-level compliance on one dashboard.
Turns ~10,000 handwritten 401(k) forms a month into structured data — checkboxes included — trained from 50–70 samples, run in a private cloud.
Watches disclosure portals for thousands of companies, extracts climate data the moment a filing appears, and maps it to your master categories.
Builds a single company profile from hundreds of live data points across the web — scanned, consolidated, and scheduled weekly for analyst validation.
No-code AI crawlers mine hundreds of airline websites for fare comparisons at the scale of a million searches a month, deployed on-prem.
Generative AI extracts key terms, clauses, and obligations from contracts and runs real-time compliance checks on every document processed.
EDD research compiled automatically — web, registry, and adverse-media findings assembled into structured evidence reports analysts verify and approve.
How a US financial institution automated ESG data collection: sustainability reports gathered as they publish, granular metrics extracted, every figure cited.
AI agents extract, validate, and link financial data from 150,000+ documents a year across 30+ languages, tying every figure to its source document.
AI-driven mortgage document processing for housing finance — bulk intake, data capture, comparison, and QA, with every lending decision human-approved.
How an ad-spend tracking company replaced template OCR on 100,000 scanned invoice pages a day, with every value linked to its source for audit.
How a data provider serving large enterprises abstracted thousands of leases in a day: 1,000+ data points per lease, risk clauses scored, every value cited.
Classifies scanned mortgage files, extracts the data points that drive approval decisions, and outputs bookmarked PDFs — with QA built into the flow.
AI agents trace batch genealogy, validate records, and track SOP changes across spreadsheets, PDFs, and scans for a global oncology drug maker.
How a national airline classified pilot licenses, training records and medical certificates on arrival, extracted key fields and made every record searchable.
Extracts data from medical records and claim forms in every format — handwritten or scanned — so healthcare providers get paid accurately and faster.
Flags and scores risk clauses across bid documents up to 10,000 pages, so EPC teams can respond to billion-dollar bids without missing a clause.
Finds red-flag clauses across thousands of tender pages and scores risk against your own matrix — a cited bid/no-bid picture in hours.
Turns feedback from 20+ channels into one categorized, queryable view of customer sentiment — so service teams act on data instead of anecdotes.