About
Extend AI is an end-to-end document intelligence platform designed to turn unstructured documents into high-quality, structured data. It leverages specialized vision models capable of reading any document layout — from dense PDFs to multi-column financial reports — with unmatched accuracy and confidence scoring to flag potential errors before they reach production. The platform offers multiple processing modes, including low-latency real-time processing, cost-optimized bulk processing, and maximum-accuracy modes, giving teams the flexibility to match performance to their specific use case. The Composer Agent eliminates manual prompt engineering by automatically refining extraction schemas based on uploaded examples, while the Studio & Evals interface empowers domain experts to iterate, test, and ship without relying on CLI scripts. Extend AI supports full document workflow orchestration, enabling multi-step pipelines that parse, split, extract, validate, and route documents with versioning and durability out of the box. It is trusted by leading enterprises including Brex, Vendr, and Flatiron Health across industries such as healthcare, financial services, real estate, and supply chain/logistics. The platform is SOC 2, HIPAA, and GDPR certified, with self-hosted deployment options for organizations that need to keep sensitive documents on their own infrastructure. It is purpose-built for AI teams and developers who need production-grade document processing at scale.
Key Features
- Confidence Scoring: A multi-pass review agent checks every output and flags potential errors before they reach production, giving teams early warning of uncertain extractions.
- Multiple Processing Modes: Toggle between low-latency real-time mode, cost-optimized bulk mode, and maximum-accuracy mode to match document processing needs to specific use cases.
- Composer Agent: An optimization agent that accepts uploaded examples, automatically identifies schema issues, refines extraction schemas, and improves accuracy in the background — eliminating manual prompt engineering.
- End-to-End Document Workflows: Build multi-step pipelines that parse, split, extract, validate, and route documents with built-in versioning and durability for complex production workflows.
- Studio & Evals Interface: A no-CLI interface that lets domain experts iterate on schemas, run evaluations, catch regressions, and ship confidently without engineering bottlenecks.
Use Cases
- Automating financial document extraction for platforms processing invoices, contracts, and statements at scale across thousands of business customers.
- Parsing and structuring medical records and clinical documents in healthcare systems, enabling AI-driven workflows while meeting HIPAA compliance requirements.
- Extracting structured data from real estate documents such as lease agreements, title reports, and property records to power downstream analytics.
- Building supply chain document pipelines that automatically parse bills of lading, purchase orders, and shipping documents with high accuracy.
- Accelerating AI product development by replacing months of custom document processing engineering with a production-ready, API-driven document intelligence platform.
Pros
- Best-in-Class Accuracy: Outperforms competing solutions, open-source tools, and foundation models on complex document layouts, as validated by enterprise customers like Brex and Vendr.
- Enterprise Security & Compliance: SOC 2, HIPAA, and GDPR certified with self-hosted deployment options, making it suitable for regulated industries handling sensitive documents.
- Fast Time-to-Production: Batteries-included toolkit with a visual studio, evals, and auto-optimization that lets teams go from PDFs to production pipelines in minutes rather than months.
- Flexible Processing Modes: Supports real-time, bulk, and high-accuracy modes so teams can optimize for latency, cost, or precision depending on the workload.
Cons
- Primarily Developer & Enterprise Focused: The platform is optimized for engineering and AI teams building pipelines; individual or non-technical users may find it more complex than simpler document tools.
- Pricing Not Publicly Detailed: Full pricing tiers are not transparently listed, and enterprise use cases typically require a sales demo, which may slow down evaluation for smaller teams.
- Cloud Dependency for Non-Self-Hosted Plans: Organizations without a self-hosted plan must route documents through Extend's cloud infrastructure, which may not suit all compliance requirements.
Frequently Asked Questions
What types of documents can Extend AI process?
Extend AI can process virtually any document layout, including PDFs, multi-column reports, financial statements, medical records, and more, using specialized vision models trained to handle complex and varied formats.
Does Extend AI support self-hosted deployment?
Yes. Extend AI offers self-hosted deployment so organizations can run the platform entirely on their own infrastructure, keeping sensitive documents in-house while retaining the same speed, accuracy, and features as the cloud offering.
What compliance certifications does Extend AI hold?
Extend AI is SOC 2, HIPAA, and GDPR certified, with regular third-party penetration testing. It is trusted by Fortune 500 companies in regulated industries including healthcare and financial services.
What is the Composer Agent?
The Composer Agent is an optimization feature that takes uploaded document examples and automatically identifies extraction issues, refines your data schemas, and improves accuracy in the background — eliminating the need for manual prompt trial-and-error.
Can I try Extend AI for free?
Yes, Extend AI offers a free trial. You can get started without a sales call, though enterprise plans with advanced features and self-hosting options are available via a demo booking.
