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Reviewing claim documents and analytics

Claims Automation That Holds Up Under Volume.

Claims automation with computer-vision OCR, NLP extraction and ML fraud detection — the unglamorous pipeline that turns a 12-day process into hours.

15K+ Claims/mo
99.2% Accuracy
What we hear

The problems that bring people here.

  • Manual claims averaging twelve days each.
  • Error rates that make every downstream number suspect.
  • Fraud review that cannot keep pace with submission volume.
How we approach it

What the pod actually does.

  • Computer-vision OCR to read the document set as submitted.
  • NLP entity extraction so adjusters start from structured data.
  • ML fraud detection exposed over REST, wired into the existing workflow.
Capabilities

What we build in Insurtech.

Claims automation
Document OCR
NLP extraction
ML fraud detection
Adjuster tooling
Policy administration integration
Typical stack
PythonTensorFlowOpenCVFastAPIPostgreSQLAWS
Let's Build Together

Building in Insurtech?

Book a 30-minute discovery call. We'll map your goals to a pod and a plan — and have a team building within two weeks.