WebRobotDistributed data-engineering, in your own cloud — driven by AI agents.
We provision and run the distributed infrastructure inside YOUR cloud to do ETL and analytics on Spark and run your AI agents. You build and drive it all by talking.
Managed BYOC cloud
We provision and run the distributed infrastructure — clusters, browsers, elastic VMs — inside your own cloud. You run no servers: your data and compute stay yours.
Distributed ETL on Spark
From raw data to insight, at scale: web scraping + databases + files + APIs → pipelines → analytics. Without writing code.
Your own AI agent team
Our AI agent builds your custom agents with you: they work as a team, on autopilot. You orchestrate them by talking, and publish them to the marketplace.
What people build with it
Four of the shapes this takes. Each one links to the detail.
Competitor prices
Know every day who sells your product and at what price, matched by EAN across shops.
product pages → daily extraction → matched catalogue → alert on undercut
See how →Public tenders
National and EU procurement portals watched continuously and matched to what you can deliver.
portals → filter by capability → deadline watch → notification
See how →Alternative data
Prices, listings, hiring and filings collected inside the fund’s own cloud, with provenance per record.
many sources → normalise → join → dataset with provenance
See how →Datasets for AI
Curated training and retrieval sets for fine-tuning and RAG, delivered as JSONL or Parquet.
raw sources → clean → dedupe → enrich → JSONL / Parquet
See how →Your bill does not grow with your results
Almost every data platform meters what you extract: per record, per request, per page, per credit. It sounds fair until it works — the more the pipeline finds, the more you owe. Success is what makes the bill explode, and the only lever you are left with is collect less: exactly the opposite of why you built the thing.
Metered by volume
The meter runs on rows, requests or credits. Double the results and you double the invoice. Nobody can tell you next month's number, because it depends on how much the web gives you.
Metered here
A fixed orchestration fee, and the machines are yours — billed by your own provider, at their price, for the minutes they ran. Ten thousand rows or ten million, our share of the bill is the same number.
So growth moves the part you buy wholesale — compute, at cloud prices, which fall every year — and not a per-record margin someone adds on top. And because the heavy VMs are ephemeral, that part is charged by the minute a job actually runs, not by the month.
What each plan costs →How this compares to per-record platforms →
DevOps automation an AI agent can use
What we sell is not compute — in every plan the machines are yours. It is the DevOps around them, automated: clusters stood up and torn down, browser fleets and Spark executors created for a run and destroyed when it ends, a private network per tenant, schedules, retries, logs. A new generation of cloud in the BYOC paradigm, where the provider owns no hardware.
And it is meant to be driven by software rather than by a console, so the operator can be another AI agent. That is the point of the MCP surface below: a next-generation agentic product can treat this as its infrastructure instead of building acquisition, processing and an agent runtime first.
WebRobot is built to be built on. The same stack behind this platform — web acquisition, distributed processing and an agent runtime — runs the products of the PioneersGalaxy studio, and is available to teams building next-generation agentic platforms that need those three things without building them first.
Reachable as a backend: REST API, CLI, plugin SDKs and an MCP server that exposes the whole API as tools, forwarding the caller's own credential — so your agents drive the platform with exactly the permissions their user has, and nothing more.
Commercially this is what BYOC is: the stack installs in your own cloud account or on your servers, your product keeps its data and its cloud bill, and you licence the software per node — no compute resold in between.
Built on Anthropic's Claude Agent SDK— working towards Anthropic partner status and certifications
🗣️ All in natural language · ⚙️ agent-native (usable by AI agents via API/MCP) · 🔒 your data stays yours.
🛍️ Marketplace — clone a ready-made agent team, pipeline or plugin and run it in your own cloud →