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LauraMac Mortgage Technology
Mortgage
Document AI
Softmax Data partnered with LauraMac to turn labor-intensive due diligence into a governed, document-intelligence platform. End-to-end automation now prepares mortgage packages in seconds while preserving audit evidence and classification accuracy demanded by top due-diligence firms.
40 → 0.63 min
per loan (40 min → 38 sec)
95%
precision
80%
operating cost reduction
The client
LauraMac provides technology and services for mortgage acquisition, due diligence, and surveillance. Serving 14 of the leading due diligence providers in the United States, their platform supports more than 1,000 users across 100+ institutions and processes tens of thousands of loans.
The challenge
- Loan tapes stretched 400–3,000 pages with 1003/1008 forms, appraisals, compliance attachments, and correspondence.
- Analysts manually split/labeled documents and re-keyed information — ~40 minutes per loan.
- No margin for classification errors in regulated environments.
What we shipped
- Secure data pipelines into a compliant cloud environment with audit trails
- Computer-vision preprocessing (denoise, rotate, crop, enhance)
- Multimodal models that classify, segment, and extract key fields
- Nightly self-training loop using analyst feedback
- Monitoring dashboards + operational runbooks + governance artifacts
Results
- 95% precision in segmenting and extracting key values
- 40 → 0.63 minutes per loan (40 minutes → 38 seconds)
- 80% reduction in operating cost for due diligence preparation
Why it worked
- Human-in-the-loop: analysts remain final approvers; evidence surfaced
- Compliance-first: designed around compliance checkpoints and audit requirements
- Continuous improvement: improvement loop via nightly retraining
- Operationalized: runbooks + dashboards so the system stayed reliable