An applied AI platform is tackling the hardest problem in enterprise data—making messy, unstructured documents searchable, reliable and automatable at scale. Impacting Insurance, loyalty and financial rewards programmes, financial credit underwriting and leasing solutions.
What the company does
- Offers a full stack AI platform for unstructured data with three products: a no code extractor for semi structured documents, a low code Gen AI search/RAG engine for precision retrieval, and an AI indexing tool for automated classification and query.
- Targets high value workflows where people currently spend 30%+ of their time hunting through PDFs and reports—such as engineering documentation, field/well reports, maintenance records, loan files, and regulatory/compliance material.
Product readiness and use cases
- Deployed in complex environments (TRL 8-9) such as oil & gas well completion reports, quality and inspection records, and P&ID vs ERP reconciliation, with edge case handling, minimal training and human in the loop review.
- Expanding into BFSI for use cases like enterprise research search, underwriting automation, submission checking, claims and trade finance document flows, turning previously manual, error prone processes into fast, auditable pipelines.
Market and model
- Addresses two fast growing categories: intelligent process automation (~USD 44.7B TAM by 2030) and enterprise “insight engines” (~USD 59.8B TAM by 2030), with a focused SAM in compliance heavy, document rich industries across India, US and the ME.
- Monetises via SaaS subscriptions in the cloud (page/usage and per user pricing) and annual on premise licences plus implementation/support.