Use cases
Concrete work agents take on today, across lending, credit and document operations.
Runs candidate screening as a governed case pipeline — documents read, details validated against guidelines, every close approved by a verifier.
How AI-powered crawlers that read and understand pages replace brittle regex and XPath scripts for end-to-end competitive monitoring.
One governed pipeline that gathers, classifies, and extracts asset data from every source and format — new data types onboarded in hours, not sprints.
Drafts analyst commentary minutes after a filing publishes — SME-defined metrics extracted, narrative templates auto-filled, every number cited.
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.
Classifies pilot certification and training records on arrival, extracts key fields with fine-tuned LLMs, and answers plain-language searches instantly.
Reads complex claim forms — nested tables, legacy coverage exceptions — checks them against product terms, and deep-links every datapoint to its page.
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.
A governed AI copilot that reads customer feedback from every channel and turns it into classified issues and recommended actions agents can trust.
Classifies 50,000+ incoming claim documents a day into 200+ categories across 30+ document types — deployed on-prem so health data never leaves.
Reads thousand-page bid documents and their amendments, flags conflicts in key terms, and links every flag to the exact source page for review.
Turns earnings call transcripts into structured records mapped to your own taxonomy in minutes — beyond generic sentiment and entity extraction.
EDD research compiled automatically — web, registry, and adverse-media findings assembled into structured evidence reports analysts verify and approve.
One search across filings, transcripts, analyst reports, and news — ranked by relevance models trained on your own analysts' annotations.
Collects sustainability reports from scattered sources, extracts granular ESG metrics from non-standard formats, and cites every figure to its page.
AI agents extract, validate, and link financial data from 150,000+ documents a year across 30+ languages, tying every figure to its source document.
Maps line items from financial statements and notes to a single custom taxonomy — 2 million pages in 10+ languages, at quality fit for models.
AI-driven mortgage document processing for housing finance — bulk intake, data capture, comparison, and QA, with every lending decision human-approved.
Extracts every field from invoices in any vendor format — 100K scanned pages a day — with deep links from each value to its source for fast audit.
Reads KYC documents like a trained analyst and compiles each customer's data into one verifiable report — proven across 800+ NBFC loan centres.
Extract 1,000+ data points and risk-scored clauses from lease portfolios in any format, with every value cited to its source page for review.
Reads appraiser reports, deeds, KYC files, and bank statements to qualify property loans — classified, extracted, and reviewed in one governed flow.
Turns 100,000+ pages of scanned patient health records into standardized, source-linked case reports for life insurance underwriting teams.
Classifies scanned mortgage files, extracts the data points that drive approval decisions, and outputs bookmarked PDFs — with QA built into the flow.
Monitors newly published offering statements and extracts 100+ attributes per bond across 1M+ municipal issues, pushed straight into your database.
AI agents trace batch genealogy, validate records, and track SOP changes across spreadsheets, PDFs, and scans for a global oncology drug maker.
Crawls PE fund sites, portfolio company pages, and press releases to build standard daily reports across hundreds of funds — human-verified.
Reads material quality certificates, extracts chemical, mechanical, and heat-treatment values, and validates each one against specification standards.
Extracts data from medical records and claim forms in every format — handwritten or scanned — so healthcare providers get paid accurately and faster.
Extracts technical specifications from RFPs, valve datasheets, and BOM documents for EPC presales teams — cutting manual review effort by 80%.
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.
Builds standardized case reports from patient health histories, with every risk flag deep-linked to the source page for underwriter review.
Extracts thousands of data points from annual reports — tables, notes, and narrative text — into your spreading taxonomy, every number cited to its page.
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.