Case Study: Leading Insurance Company achieves faster claims processing with Nanonets

Leading Insurance Company - Customer Case Study

Leading Insurance Company needed a faster, more efficient way to process medical invoices and claims. Its manual review workflow required multiple reviewers to inspect each invoice, enter data by hand, and reduce errors, which made the process time-consuming and costly. Nanonets provided an OCR- and deep learning-based invoice digitization solution to help automate this work.

With Nanonets’ API, the company could automatically read invoices, extract key fields into structured JSON, check document quality, and support fraud detection and claims processing. Nanonets helped reduce claims processing time by 90%, cut inspection costs by 90%, and lower overall costs by 50%, while making invoice handling faster and more scalable.