Some startups whisper their way into the scene. Structify didn’t. They showed up like they had keys to the data kingdom, and $4.1 million in fresh seed funding to prove it. Bain Capital Ventures led the charge, backed by 8VC, Integral Ventures, and a few sharp-eyed angels who saw the signal buried beneath the noise. Not just a bet, it’s a statement: Structify isn’t here to organize the internet’s mess. They’re here to weaponize it.
At the core of Structify’s edge? A platform that takes the kind of chaotic, unstructured data that gives analysts migraines and turns it into something sharp enough to cut glass. AI powered. Human-approved. Enterprise ready. Imagine turning pitch decks into deal-ready data sets, geotechnical documents into clean rows and tables, and org charts into sales intelligence, all without summoning an army of interns or asking ChatGPT to "try its best."
And let’s not pretend this came from a flash of genius in some WeWork brainstorm. CEO Alex Reichenbach saw the data bottleneck up close building robotics at Matician and Affectiva, turns out perception is only half the battle if your data’s trash. Co-founder Ronak Gandhi lived the grind too, wading through the inefficiencies of sales ops and strategy at United Talent Agency. Yale brains, street hustle, and a shared hatred of bad data infrastructure. That’s the origin story, not the pitch deck.
Structify built their own visual language model, DoRa, think of it like a browser native who can parse the web like a seasoned Wall Street researcher and a digital librarian in one. It doesn’t just extract, it understands. Layer in Browserbase for scalable automation, a human-in-the-loop feedback oop for surgical accuracy, and Kubernetes-based infrastructure to run at scale, and you’ve got the real tech trifecta. This isn’t AI theater, it’s a system with teeth.
And let’s talk numbers. Not vanity metrics, real impact. 10x performance lift on their agents. 16x drop in infra costs. Four times the labeled data in two weeks thanks to Data Lead Gabriel Broome. Meanwhile, most companies are still piecing together workflows and praying to the Data Ops gods for a miracle. Structify built theirs.
No freewheeling promises here, just traction. Financial teams are already parsing decks. Construction firms are translating reams of site data into usable formats. Salesorgs are running faster with cleaner targets. They didn’t ask for a seat at the AI table, they structured their own.
Congrats to Alex Reichenbach and Ronak Gandhi on the raise. The enterprise data stack just got smarter, leaner, and a hell of a lot more interesting. The question isn’t whether Structify can scale, the question is who’ll catch up.
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