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Extend raises $17 million in seed and Series A funding to advance its full-stack document processing platform. The company integrates LLMs, visual parsing, and human-in-the-loop systems to help enterprises automate complex document workflows with high accuracy. New features like automated config generation and sandbox mode aim to streamline adoption and continuous optimization.
Why Extend’s Mission Matters More Than Ever
Documents continue to serve as the primary system of record for critical business data, yet extracting structured insights from them remains a slow, error-prone process. Extend is built to solve this, offering a full-stack system that enables companies to go from raw PDFs to production-ready data in days. Traditional approaches rely on OCR and foundational models, which often fail to handle real-world complexity. Extend integrates multiple developer primitives and engineering techniques to support high-accuracy workflows, particularly in industries like healthcare, logistics, and finance, where precision is essential.
These sectors cannot tolerate even 1% error rates, leading companies to invest substantial engineering resources in document ingestion systems. Extend consolidates the fragmented tooling often required, reducing development time and improving results.
The $17 Million Milestone: Who’s Backing Extend and Why
Extend has raised a combined $17 million across its seed and Series A rounds. The investment is led by Innovation Endeavors, with participation from Y Combinator, Homebrew, Character, and notable angel investors including Scott Belsky, former Chief Strategy Officer at Adobe, and Guillermo Rauch, CEO of Vercel.
This capital supports Extend’s continued growth and product development. Davis Treybig, a partner at Innovation Endeavors, emphasized that Extend’s platform enables teams not only to automate existing workflows but also to create new capabilities that serve as competitive differentiators.
Inside Extend’s Full-Stack Approach to Document Processing
Extend’s architecture combines advanced large language models with visual parsing engines, semantic context management, and reinforcement systems to create highly accurate document pipelines.
Key components of Extend’s platform include:
- Parsing engines capable of handling images, tables, handwriting, and signatures
- Semantic chunking and table header continuation for better context interpretation
- Integrated data labeling and evaluation tools
- Document classification, splitting, and extraction pipelines
- Human-in-the-loop interfaces for low-confidence cases
- Continuous feedback systems using reinforcement learning
Rather than offering a single-purpose API, Extend delivers a unified infrastructure designed for real-world complexity. It supports both developers and operations teams with modern APIs and intuitive tooling, helping enterprises extract value from documents faster and with higher reliability.
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What’s New: Game-Changing Product Updates Just Announced
Extend recently launched two major product features aimed at simplifying and accelerating document processing.
- Automated Config Generation
Teams can now upload a few sample documents and receive a customized schema that fits the structure of those documents. This removes the need for extensive manual tuning and schema definition. - Sandbox Mode
Extend introduced instant platform access via sandbox mode. Users can sign up and start processing documents immediately, with in-app support available. This lowers the barrier to entry for teams evaluating accuracy or exploring use cases without the need for full onboarding.
These features are intended to streamline initial setup and ongoing optimization of document pipelines. Extend plans to expand these capabilities further by integrating them with evaluation sets and deploying autonomous agents that continuously refine accuracy in the background.
Trusted by Industry Leaders for High-Stakes Document Workflows
Extend is already used by several high-profile organizations to manage mission-critical document operations. Clients include Brex, Square, Checkr, Flatiron Health, and multiple Fortune 500 companies.
Pedro Franceschi, CEO of Brex, noted that Extend outperformed all other solutions tested, including open-source tools and foundational models. It now powers document workflows for Brex’s 30,000 customers, contributing to the company’s goal of building a more intelligent financial platform.
Where Extend Goes from Here
Extend plans to use its funding to continue building what it describes as the first full-stack cloud dedicated to document processing. The company’s vision is to eliminate the barriers that prevent businesses from unlocking data trapped in unstructured formats.
By centralizing and automating every stage of document handling—from ingestion to extraction—Extend enables teams to shift their focus from manual data wrangling to higher-value work. The platform is expected to become increasingly autonomous, with ongoing enhancements aimed at improving speed, accuracy, and reliability across enterprise use cases.
Extend is positioning itself as the document cloud equivalent to compute and storage platforms already fundamental to modern infrastructure, offering a scalable foundation for intelligent document operations.
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