The Web Is the Largest
Database Nobody Can Query
We are building the infrastructure that changes that — AI agents that find, extract, and maintain web data at scale, without the engineering team you would otherwise have to hire.
our mission
Make Any Public Web Source Behave Like an API
Web data has always been available in theory and unreachable in practice. The pages exist, the numbers are right there on the screen — but turning them into a clean, current, trustworthy table takes a team of engineers, a proxy budget, and a tolerance for pipelines that break every time a site ships a redesign.
Most companies never build that team. They settle for a stale report, a sample of the market, or a gut call. The information asymmetry that follows is expensive, and it compounds.
We think extracting a dataset from the open web should take minutes and a sentence — not a quarter and a headcount.
So we built agents that do the work an engineer would: read the page, understand its structure, write the extractor, validate the output against a schema, and repair themselves when the source moves. You describe the data you need. We deliver it, keep it fresh, and tell you the moment something looks wrong.
by the numbers
Built to Run Unattended
The numbers that matter to the people who put us in production.
how we collect
Compliance Is Not a Footnote
Web data is only useful if your legal team lets you use it. We designed the platform around that constraint instead of apologising for it later.
Publicly available data only
We collect data that is publicly accessible without authentication. We do not bypass logins, and we do not touch data a site has placed behind a paywall or an account.
Lawful basis, documented
Every dataset we deliver comes with a record of where it came from and when. For personal data we operate under GDPR and CCPA, honour deletion requests, and sign a DPA before the first record moves.
Polite by default
We rate-limit, respect crawl directives, and cache aggressively so that a source site is never destabilised by our traffic. Extracting data should cost the publisher nothing.
Reviewed before we start
Unusual sources go through a legal and ethical review before we write a line of code. If a project fails that review, we say no — and tell you why.
SOC 2 Type II
Audited annually
GDPR & CCPA
DPA available on request
EU & US regions
Data residency on request
how we work
Agents Do the Work Engineers Used to Do
We find the source
Most teams already know what they want to know; they just cannot say which pages hold it. Our agents map the source landscape first, so extraction starts from the right place.
Agents write the extractor
Instead of a human writing brittle selectors, an agent reads the page, infers its structure, and produces an extractor validated against your schema. What took a sprint takes an afternoon.
The pipeline repairs itself
Sites change. Our monitors catch the drift, the agent rewrites the extractor, and the data keeps flowing — usually before anyone notices a field went missing.
who we are
Built on Research Excellence
We are AI researchers and reverse engineering specialists who spent a decade on systems where milliseconds decide the outcome. We build web data infrastructure the way we built inference engines: for the worst case, not the demo.
World-record AI inference
Breakthrough performance in inference optimisation — the same engineering that keeps our extraction agents cheap enough to run on millions of pages.
NVIDIA, Siemens, Palantir
Former researchers and engineers from teams where production-grade reliability was the baseline, not the goal.
10+ years of web extraction
From dynamic JavaScript applications to hostile anti-bot stacks — we have met every layer of the modern web and know what actually breaks.
Tell Us What You Need to Know. We'll Go Get It.
Send us your sources and your schema. We will come back with a sample dataset from your real target sites — before you commit to anything.
