80% accuracy on documents is functionally 0% when a human rechecks every result. Almost every important decision a business makes starts inside a document: a loan file, a patient record, an insurance claim, a contract. Most of that information is still read, checked, and typed in by hand. In this video, our CEO Dan Maloney explains: ▸ Why large language models still stumble on real documents ▸ Why 80% to 90% accuracy is functionally 0% when a person rechecks every result ▸ How the next generation of Agentic Document Extraction (ADE), powered by our new DPT-3 models, closes that gap ADE is autonomous and auditable. It does the tedious reading at scale, and every answer traces back to the exact spot on the page it came from. It recognizes layout, hierarchy, tables, signatures, figures, and handwritten notes before reasoning over the content, routing each block to the model best equipped to understand it. Deploy in our cloud, in your own VPC, on AWS, Azure, or Google Cloud, natively in Snowflake, or fully on-premises for air-gapped environments. Agentic Document Extraction is available today. Watch Dan walk through it below.