Every Indian fintech builds its own document parser. Lending companies, wealth platforms, tax apps — they all write regex to read bank statements, break when HDFC changes their PDF layout, and start over. Thousands of engineering hours duplicated across the ecosystem.

We made a different bet: don't parse — understand. Vision AI reads documents the way a human would — recognizing structure, context, and intent regardless of layout. No format-specific rules. No regex to maintain. When a bank changes their template, nothing breaks.

Traditional OCR pipelines extract raw text, then layer brittle heuristics on top — column detection, line grouping, regex pattern matching. Every bank format needs its own rules. Scanned PDFs with skewed text or merged cells break the pipeline. Vision AI skips all of that. It sees the document as an image — the same way you do — and extracts meaning from spatial relationships, table structures, and visual context. A transaction amount next to a date in a table cell is understood as a transaction, not matched by a pattern that fails on the next bank's layout.

India generates over 3 billion financial statements a year across dozens of bank formats. Account Aggregator is live. The DPDP Act demands privacy-first architecture. AI agents are moving from demos to production. The timing is right for a single, reliable API that gives any agent the ability to read any Indian financial document.