Extend is a high-performance document processing infrastructure platform designed for AI agents and automated pipelines. The platform addresses the challenges of unstructured document data—such as PDFs, scans, and forms—common in critical industries like healthcare, finance, logistics, and real estate. By utilizing a hybrid approach of trained in-house models and frontier models, Extend provides comprehensive tools for parsing, extracting, classifying, splitting, and editing documents, enabling developers to build reliable data pipelines in days rather than months.

Functionality includes an end-to-end processing suite that transforms complex, messy documents into clean, structured JSON or Markdown formats suitable for RAG and downstream AI agents. The platform handles intricate layouts including multi-column structures, nested tables, checkboxes, handwritten annotations, and visual elements like stamps or barcodes. It offers a sophisticated workflow engine that allows for multi-step orchestration, validation, and routing of documents, effectively replacing manual data entry or brittle legacy OCR processes.

Some of the key features are:

• Parse 2.0 API: A state-of-the-art, layout-first parsing engine that preserves reading order and document structure for complex file types.
• Composer Agent: An optimization agent that automatically identifies schema issues and refines prompts to improve extraction accuracy in the background.
• Review Agent: A multi-pass agent that checks outputs for uncertainty and flags potential errors before they reach production.
• Confidence Scoring: Built-in mechanisms to quantify model uncertainty at the field level, enabling automated human-in-the-loop triggers.
• Flexible Deployment: Options ranging from cloud-based API access to full self-hosted deployments for sensitive data requirements.
• Evaluation Suite: Integrated tools to run, track, and iterate on evaluations to catch regressions during schema development.
• Workflows: Durable orchestration of complex pipelines featuring versioning, conditional steps, and external data validation.

Operation is centered around a modular API and an intuitive dashboard. Users can ingest documents through the API, configure custom extraction schemas, and manage processing workflows through the platform's studio environment. The system generates high-fidelity structured outputs, enabling teams to maintain control over their data while offloading the complexities of model maintenance and performance optimization to Extend's infrastructure.

Some common use cases include:

• Financial Services: Automating the extraction of data from loan applications, tax filings, and complex financial statements.
• Healthcare: Scaling the processing of patient intake forms, medical records, and insurance explanation of benefits documents.
• Logistics: Digitizing shipping documents like bills of lading and customs forms to streamline freight tracking and attribution.
• Real Estate: Managing high-volume document intake, such as mortgage applications and property closing records, with near-perfect accuracy.