extend’s Post

For the past 12 months, we've been in the lab working on Extend and haven't shared too much publicly. That's changing starting today! We’re excited to introduce Extend, an AI platform that helps companies turn their unstructured documents into a competitive advantage. Modern, ambitious companies like Brex, Opendoor, Checkr, Vendr, and more use Extend to turn their messy PDFs, images, and files into new products, happier customers, and faster growth. I’ve long had a personal connection to this problem, experiencing it first hand as an early engineer at Brex in 2018 just as we were launching the initial corporate credit card product. Our goal was to build a magical experience for employees, by parsing receipts and automatically matching them to the correct expense. Sounds straightforward, right? Turns out, since users were uploading these receipts in real time, there were an infinite number of edge cases to consider. Millions of vendor formats aside, the receipts could be upside down, blurry, crumpled up, covered in coffee stains, have handwritten tip amounts, and so much more. Building that was one of our most most complex engineering projects spanning months of implementation, iteration, and maintenance. Not every company can afford to do that, or even should. Ambitious teams want to focus on innovating, not data plumbing and fire-fighting edge cases. And businesses shouldn’t have to choose between speed to market vs. building something in-house that becomes a competitive advantage. Legacy OCR, IDP, and point solutions have existed in the market for a long time. If you can get away with using one of them, you should — we’re probably not the right choice for you. But often times those legacy solutions fall short because: 1. They lack the capability to handle your complex data and requirements 2. They cannot be customized to power the unique experiences that teams envision Our customers are ambitious companies trying to innovate, leverage the latest advancements in AI, and don't want to be tied down by off-the-shelf options. So they decide to build it in-house — and while impressive demos are easy to build with LLMs, there’s a world of difference between that demo and confidently deploying an enterprise-ready, production use case. Extend closes that gap by providing a platform that accelerates in-house builds to production-level confidence in days, not months. Having now deployed robust AI workflows into production on mission-critical use cases at startups and Fortune 500 companies alike, one lesson has become very clear: OCR is dead. The problem is no longer “can we extract text from a PDF?” That’s table-stakes. Rather, the problem becomes: "how can we effectively teach AI models with PhD-level intelligence the intricacies of our documents, business, and workflows in a way where they can drive business impact?". That’s what Extend solves, and we’re the only ones who do it. Full link in comments below!