Reducto Deep Extract

Self-correcting document extraction agent hits 99–100% field accuracy

Reducto's Deep Extract takes an agent-in-the-loop approach to document extraction: it extracts data from complex documents, verifies results against the source, identifies what's missing or inconsistent, and re-extracts until hitting a defined accuracy threshold. The result is 99–100% field accuracy on high-stakes documents like invoices, financial statements, and shipping manifests. Traditional single-pass AI extraction fails on complex documents — dropping line items, miscounting totals, missing nested tables. Deep Extract treats extraction as an iterative loop, not a one-shot inference. It's faster and cheaper than hiring staff for manual review and more accurate than previous AI approaches according to Reducto's benchmarks. Reducto is a YC W24 company backed by Andreessen Horowitz with a $24.5M Series A. Deep Extract is designed for enterprise teams processing high-volume, high-stakes documents where a single missed field has financial consequences. Free trial available, enterprise pricing on request.

Panel Reviews

Ship

“The agentic verification loop is the right architecture for document extraction. Single-pass LLM extraction is genuinely unreliable on complex docs. This approach compounds accuracy instead of crossing fingers.”

Skip

“99-100% accuracy claims always need a fine-print read. What document types were benchmarked? What's the latency hit from iterative re-extraction? For real-time workflows this could be a blocker.”

Ship

“Document extraction is a multi-billion-dollar manual labor market. An agent that corrects its own errors until it hits a quality threshold is the right displacement mechanism.”

Ship

“If you're processing invoices or contracts at any volume, the ROI here is obvious. No more QA teams catching extraction errors. The self-verification loop is genuinely novel.”