From Ingestion to Agents: How AI Teams Build on Document Intelligence — Adit Abraham, Reducto
AI Engineer World's Fair 2026 · 22:29
AI document processing and workflow automation
Reducto builds a document processing platform for AI teams and document-heavy enterprises. Its Parse API converts files into structured text, tables and figures; Extract retrieves fields using a schema. Classification and splitting organize incoming documents, while editing tools fill PDF forms and modify DOCX files. Developers can combine these operations into automated workflows through APIs and SDKs, or use Reducto Studio to build, test and deploy pipelines visually. Applications include invoice processing, medical-record extraction and preparing document content for retrieval-augmented generation.
Founded in 2023 by Adit Abraham and Raunak Chowdhuri, who met at MIT, Reducto identified document ingestion as a source of errors in AI applications. Abraham was co-founder and CEO in 2025. Its early parsing approach combined computer vision with vision-language models. The r-1 parsing model, introduced in preview in 2026, brings layout, tables, formatting and citations into a single pass. Bounding-box citations let users inspect extracted information against the original document.
Reducto serves customers including Harvey, Scale AI and Vanta. Its website reports more than 5 billion pages processed. Deployment options range from a hosted service to VPC, on-premises and air-gapped environments, allowing teams to place document processing within their own infrastructure. The company announced $108 million in total funding in 2025 following a $75 million Series B led by a16z.
AI Engineer World's Fair 2026 · 22:29
Affiliations reflect their AIE appearances, not necessarily current employment.