Ocrolus
AI document automation platform for mortgage lenders that classifies, extracts, and validates financial documents with Lloyd's of London-insured accuracy.
Last reviewed 6/2/26
How Ocrolus uses AI[1][2][3]
Ocrolus classifies financial documents and extracts data using OCR, computer vision, and machine learning, then flags fraud and routes edge cases to human reviewers. Ocrolus reports coverage of 1,600+ document types at 99+% accuracy.
- • Classifies documents with machine learning, routing uncertain cases to human verifiers
- • Extracts key data fields into structured output, cutting manual entry
- • Detects fraud by flagging file tampering, metadata manipulation, and financial anomalies
- • Combines AI with human-in-the-loop review for 99+% accuracy
AI type: Computer Vision, OCR, ML
What it helps you do
Built for
Key numbers
- • Supports 95% of mortgage document types
- • outputs eligible for Fannie Mae reps and warranties relief
- • $500M+ valuation
- • $122M total funding
Credibility
- Founders & team
- Sam Bobley (CEO), Victoria Meakin, Peter Bobley, John Guerci
- Customers
- Better, LoanStream Mortgage, CrossCountry Mortgage, HomeTrust Bank. 100+ mortgage lending customers.
- Investors
- Fin VC (led Series C), Oak HC/FT, QED Investors, Thomvest Ventures, Mubadala Capital
Founded
2014
Headquarters
New York, NY
Stage
Series C
Employees
201-500
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