Docsumo
Intelligent document processing platform that automates data extraction from rent rolls, insurance forms, and financial documents for CRE lenders and property managers.
Last reviewed 6/2/26
How Docsumo uses AI[1][2]
OCR and custom NLP models read CRE documents and pull structured data into underwriting systems, with self-learning models that retrain on user corrections to handle institution-specific formats.
- • OCR scans and vectorizes text from PDFs, images, and Excel files
- • Custom NLP models classify and structure data contextually, regardless of field placement
- • Reads rent rolls, T12 operating statements, ACORD forms, and utility bills
- • Self-learning models retrain on user corrections for institution-specific layouts
- • Docsumo reports 99%+ field accuracy and 95%+ straight-through processing
AI type: OCR, NLP, Machine Learning
What it helps you do
Built for
Key numbers
- • 99% accuracy on insurance forms
- • 95%+ straight-through processing rate
- • 97.5% time savings for Westland (14,000 units)
- • 30+ pre-built document models
Credibility
- Founders & team
- Rushabh Sheth (CEO, IIT Bombay/IIM Bangalore) and Bikram Dahal (CTO, engineering background)
- Customers
- •Arbor Realty Trust, Westland Real Estate Group (14,000+ units), Greystone
- •Claims 10,000+ businesses on platform
- Investors
- Fifth Wall, Common Ocean, Arbor Realty Trust, Sequoia Capital (scout), Barclays/Techstars
- Reviews
- G2 4.7/5 (56 reviews), Capterra 4.3/5 (9 reviews)
- Case Studies
- Arbor Realty Trust: 99% accuracy on ACORD forms, 95%+ straight-through processing. Westland: 97.5% time savings on 2,000+ utility bills/month.
Founded
2018
Headquarters
New York, NY
Stage
Seed
Employees
51-200
Related companies
QuickData
Excel add-in that uses AI to extract financial data from multifamily real estate documents into underwriting models, replacing manual copy-paste workflows.
AI trained on multifamily documents reads rent rolls, T12 operating statements, and offering memos, then writes the extracted financial data straight into a user's existing Excel underwriting model.
Ocrolus
AI document automation platform for mortgage lenders that classifies, extracts, and validates financial documents with Lloyd's of London-insured accuracy.
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.
Tidalwave
AI-native mortgage automation platform using agentic AI to handle document review, verification, and underwriting, cutting processing from 45 days to under 15.
Agentic AI runs end-to-end mortgage origination through SOLO, a mortgage-trained model that reviews documents, extracts data, and checks underwriting compliance without manual handoffs.