Extend AI’s $17M Raise to Unclog the Document Bottleneck

By any measure, the problem Extend AI is tackling is colossal. As much as 80% of enterprise data resides in unstructured formats: PDFs, scanned images, handwritten forms. These documents are the backbone of every industry, from healthcare to finance, but remain opaque to machines. Extracting value from them has long been a costly and slow affair. Extend believes it can change that, and it’s raised $17 million in seed and Series A funding to prove it.

Led by Innovation Endeavors, and joined by Y Combinator, Homebrew, and angels like Adobe’s former CSO Scott Belsky and Vercel’s CEO Guillermo Rauch, Extend is positioning itself not just as another document automation tool, but as the full-stack cloud for document processing.

“Documents are often the system of record for mission-critical business data,” says Extend co-founder and CEO Kushal Byatnal. “But reliably parsing and using that data has always been a challenge. We built Extend to change that, delivering state-of-the-art accuracy out of the box, and enabling teams to go from raw PDFs to production-ready data in days instead of months.”

Solving the Document Problem

In industries where even 1% error is unacceptable (think: healthcare reimbursement claims or KYC verification) document automation has long required expensive, in-house R&D efforts. Teams have had to hand-stitch pipelines involving OCR engines, manual prompt engineering, regex heuristics, and human-in-the-loop validation, often for marginal gains.