Nanonets builds an AI-driven platform that automates document processing and data extraction workflows for enterprises. Using advanced optical character recognition (OCR) and deep learning models, the platform converts unstructured documents - invoices, receipts, purchase orders, contracts, insurance claims, and forms - into structured, actionable data that integrates with existing business systems. The company serves industries where document volumes are high and manual processing costs are significant, including finance, healthcare, supply chain, and insurance.
The platform automates end-to-end business processes such as accounts payable, order processing, and insurance underwriting. Nanonets claims reductions in manual effort of up to 90% and cost savings of up to 50%, and counts 34% of Fortune 500 companies among its customers. The platform is designed to scale from small businesses to large enterprise deployments.
The technical team works across machine learning, deep learning, OCR, document processing, and AI infrastructure. The company's stated engineering philosophy prioritises making machine learning as broadly applicable and accessible as databases - focusing on practical, production-grade systems rather than research for its own sake. The team combines deep technical expertise with applied knowledge of how document-heavy business processes actually function.