AI is getting cheap.
You can call intelligence like an API now. That part is starting to feel solved.
The new bottleneck is data.
Not “data” in the abstract. The annoying, real kind: the thing you need is on a website behind JavaScript, or inside an app behind logins, rate limits, and anti-bot systems. You spend weeks building a pipeline. It breaks on Tuesday. An engineer becomes the “scraping person.” Nobody wants that job.
We built Anakin to solve this problem for ourselves.
Anakin started as a competitive intelligence company for large on-demand businesses. We helped big teams get reliable real-time data from messy sources—prices, assortments, availability, ETAs, fees—at production scale.
Doing that taught us something important:
The hard part isn’t “a scraper.”
The hard part is making something that keeps working.
So we built the infrastructure: proxies, browsers, emulators, automation, retries, extraction, quality checks, delivery. Then we ran it in production, under pressure, for real customers.
Now we’re turning that same machinery into a product for every developer.
We’re launching Anakin Developer Tools: the internet as an API. (www.anakin.io)
Our goal is simple: For any data on the web—website, app, document—there should be a clean API to get it.
You give us a URL (or an app flow). We return what you need in the format you want. No proxy setup. No IP rotation. No “works on my machine.” It should just work.
If you’re building agents, analytics, monitoring, pricing tools, lead generation, research workflows—anything that needs external data—this is the missing layer.
As models get better, the number of things you can build explodes.