About
Extend builds a full-stack, AI-native document-processing platform with APIs and tooling to parse, extract, classify, split, and validate complex documents. It sells to technical teams and enterprises in document-heavy sectors such as finance, healthcare, and logistics, differentiating through specialized models, evaluation and orchestration tooling, and high accuracy and reliability.
Market
Extend competes in the document AI and production document-processing infrastructure market, helping technical teams turn complex unstructured documents into reliable structured data for AI agents and business workflows. It positions itself above basic OCR and standalone extraction endpoints through agentic OCR/VLM processing, multiple latency-cost-accuracy modes, schema versioning, automated evaluations, workflow orchestration, confidence scoring, and human review in one API/SDK platform.
Extend targets startups through F500 companies with document-heavy workflows in healthcare, real estate, insurance, finance, and related industries. Its primary buyers are engineering, product, and AI/ML teams that need to automate complex document processing without building and maintaining custom models or evaluation infrastructure.
At a Glance
Problem
Extend solves the difficulty of turning messy, unstructured documents into reliable data and operational workflows. Legacy OCR and fragmented tooling struggle with degraded scans, handwriting, complex tables, mixed layouts, and multi-page files, forcing companies to spend months stitching together brittle pipelines and manually addressing accuracy gaps. The economic pain is therefore both engineering cost and delayed automation: teams may need months of R&D before reaching production-grade reliability. The clearest use case is converting large volumes of difficult PDFs, forms, invoices, claims, or other business documents into structured, validated data for precision-sensitive workflows in healthcare, finance, logistics, and similar industries.
Product / Service
Extend is a developer-oriented document-processing platform delivered through APIs and supporting tooling. Its suite includes Parse for turning documents into structured, LLM-ready markdown; Extract for retrieving schema-defined fields; Split for separating and classifying mixed multi-document files; Classify for routing documents; and Edit for detecting form fields and filling documents programmatically. The platform combines LLMs with specialized computer vision, agentic optimization, evaluation frameworks, workflow orchestration, schema controls, quality control, and human review so teams can build and maintain production pipelines without developing every extraction model themselves.
The benefit is faster deployment with higher reliability across real-world documents. Extend says teams can move from raw PDFs to structured, production-ready data with 95%+ accuracy, while its documentation describes production deployment in days rather than months and configurable processing modes for speed, cost, or accuracy. It offers both self-serve access and an enterprise-oriented platform for teams processing mission-critical workloads at scale.
Market
Extend competes in intelligent document processing, document intelligence, and document-processing APIs—the market for converting unstructured files into machine-readable data and automating document workflows. Its alternatives include enterprise automation and IDP platforms such as UiPath Agentic Automation, Automation Anywhere, Nintex, SS&C Blue Prism, and ProcessMaker, as well as more specialized or adjacent offerings including Nanonets, Reducto, LlamaIndex, and ABBYY. Extend’s positioning is differentiated by combining extraction APIs with splitting, classification, form filling, evaluation, orchestration, and agentic optimization rather than offering basic OCR alone.
The company shows meaningful commercial traction rather than appearing pre-revenue. A reported $17 million financing was intended to expand engineering, go-to-market, R&D, and product development; the platform also launched a self-serve version. Reported customers include Brex, Square, Checkr, Flatiron Health, and multiple Fortune 500 companies, with customers using the platform to process millions of documents. The available evidence does not establish a definitive current revenue figure, so customer adoption, document volume, funding, and product availability are the more reliable indicators of traction.
Founders & Leadership
Funding History
Innovation Endeavors
Recent News
Extend launched Parse 2.0, a document-parsing API designed for production agents and pipelines, alongside RealDoc-Bench, a benchmark using complex documents from logistics, healthcare, financial services, and real estate. Extend says Parse 2.0 leads competing providers on the benchmark and combines accuracy, speed, and cost.
Extend highlighted its document-processing toolkit, comprising parsing, extraction, and splitting APIs intended to help developers ship demanding document-processing use cases.
Extend launched Composer, an AI agent that learns from documents and automatically optimizes extraction schemas. It analyzes evaluation results, proposes schema improvements, tests configurations, and reports accuracy changes and supporting evidence.
Active Roles
10Business Model
Extend uses a usage-based SaaS/API model built around credits: customers receive a free allowance, then pay per additional credit, with a $500-per-month Scale plan and custom-priced Enterprise plans. Enterprise plans add capabilities such as self-hosted deployments, custom SLAs, dedicated support, and custom models.