Browse AI lets anyone train an AI agent to capture and monitor data from any website, no code required. We’re turning the web into data that people can actually use, and building toward the data infrastructure for AI-powered knowledge work.
The internet holds more knowledge than any database ever built. But that knowledge is scattered across millions of websites, in formats no one can use directly. For decades, turning the web into usable data meant writing and maintaining code, fighting anti-bot systems, and rebuilding everything each time a site changed.
So the people who needed data the most, the analysts, researchers, operators, and small teams, were locked out. The data was right there, and still out of reach.
We believe knowledge workers could build almost anything, products, solutions, insights, if they could just get the data they need. So we’re removing the one thing that always stopped them: the code. Point an AI agent at a website, capture exactly the data you need, keep it current automatically, and build on top of it. No engineering team required.
Bring web data together with your own data, in one place, as a live dataset instead of a one-time export.
Clean, reshape, and adapt the data to fit what you’re building. No code, no pipeline to maintain.
Turn that data into products, decisions, and solutions, the work that actually moves your organization forward.
When anyone can build with data, creativity and opportunity get unlocked. That’s the whole point.
We started in 2020 as a small, self-funded team with a simple conviction: collecting data from the web was far too hard, and it didn’t have to be. There was enormous value locked in live web data, and almost no one could reach it without an engineering team and a big budget.
So we set out to build the first missing piece: an easy, affordable, reliable way to capture and monitor data from any website at scale. We launched our first public version in September 2021. People showed up, told us what they needed, and we’ve been building from their feedback ever since.
Capturing web data reliably is the foundation, not the finish line. As AI takes on more knowledge work, the hard problems shift from “can you get the data” to “can you trust it, and can your whole organization adopt it.” That’s what we’re building toward: the trusted data layer that AI-powered knowledge work runs on.
Turn any website into a reliable, always-current data pipeline, no code.
AI agents that combine web and internal data into the workflows teams actually run.
The go-to platform for trusted, AI-powered knowledge work, secure, explainable, and built to adopt.
Data fuels human creativity and innovation. We give everyone superpowers by turning raw information into actionable intelligence, without writing code.
One person can deliver exponential impact. We hire experts who build systems, not armies, so that through automation, AI, and creative problem-solving, one person delivers the impact of many.
Low ego, high impact. Curious enough to question, humble enough to listen, strong enough to act. Data and outcomes win arguments, not titles.
Browse AI wins or nobody wins. We reject individual egos, departmental silos, and personal agendas. Your win is my win, and your struggle is our challenge to solve.
Curiosity drives ownership. We dig for root causes, not quick fixes. We challenge assumptions and look around corners, operating with full autonomy and full transparency.
Knowledge workers solve the world’s problems, and we solve theirs. By automating the repetitive and democratizing access to data, we unleash human creativity at scale.
We burnt the midnight oil prototyping for six months. (No, not all of it was spent making the 3D robot. That only took five months.)
We went through a pre-accelerator program at Startup Edmonton, along with a number of positioning and product pivots.
We spent the summer in SF going through an accelerator, working day and night to prepare for the public launch after our pivots. XX made the first investment in Browse AI.
The launch went great. We got 1,600+ upvotes and a surge of users that lasted a long time. Their feedback shaped our roadmap for the next year.
The user feedback kept coming and our roadmap kept growing. A user who worked at Angels of Many loved the approach, reached out, and became our second investor. We used the funding to scale to 12 full-time team members.
Our growth was gaining momentum. Two senior staff at Zapier were using Browse AI and told their executives, who saw a lot of similarities between our journey and theirs early on. Zapier became our third investor.
We reached 100,000 users mostly organically, with 82% finding us through word of mouth and search. We were growing so fast that we paused onboarding emails and urgently hired support and sales to keep up with demand.
To keep up with exploding growth and build the products tens of thousands of users were asking for, we raised working capital from the best investors we met, including (co)founders of Dropbox, DoorDash, Blinkist, Pitch, Nasty Gal, and others, many of whom were our users.
We evolved Browse AI from a browser extension into a full cloud platform, with prebuilt robots, scheduled monitoring, and deep integrations, so anyone could capture and act on web data without touching code.
We broadened our product and how we go to market, from self-serve plans for individuals and small teams to Premium managed services and enterprise support for larger organizations, meeting people wherever they are on their data journey.
We passed 9 billion data records delivered to our users, a milestone that reflects just how much of the web people are now turning into usable, always-current data.
Our community grew past 800,000 users worldwide, from solo operators to teams at large organizations, most of them still finding us through word of mouth.
From an effortless web-to-data platform today, toward the trusted data layer that AI-powered knowledge work runs on. This is where you come in.
Whether you want to capture your first dataset or hand us your hardest one, this is the place to start.
