We are building the digital infrastructure for the built environment. We do not create data. We refine, normalize, and deliver the 45TB of raw signals that London generates every day.
London is the world's most data-rich city. It is also the most fragmented.
The UK government publishes more open data than almost any other nation. But it is trapped in silos: thousands of disconnected CSVs, PDFs, legacy APIs, and unstructured text files scattered across the NHS, TfL, Land Registry, and 32 local borough councils.
OpenData.London exists to solve the "Integration Tax."
We believe that data is public infrastructure, just like roads or electricity. It should be reliable, standardized, and accessible. We spent three years building the ingestion engine that turns this chaotic noise into a clean, queryable signal so that banks, developers, and governments can stop cleaning data and start solving problems.
We are not a data broker. We are an infrastructure provider. These three laws govern our engineering.
We never guess. Every data point in our graph—from a planning application to a company director—is cryptographically linked to its original source file. We maintain a strict chain of custody. If the Land Registry updates a title, we update our record within seconds and log the delta. We provide the "audit trail" that compliance teams require.
We believe the future of data is Zero-Copy. We architected our entire platform as a Snowflake Native App so that we never have to see your proprietary data. We ship our code to your vault, allowing you to cross-reference your sensitive client lists against our public graph without your data ever leaving your governance perimeter.
We are the "Digital Switzerland." We do not trade on our data. We do not run a hedge fund. We simply build the most accurate map of the territory. Whether you are a regulator, a developer, or an activist, you get access to the same single source of truth.
We are a "Thesis-Driven" engineering shop. We don't just scrape websites; we model the real world.
Our proprietary algorithm resolves millions of disconnected records (addresses, company names, UPRNs) into single, unique entities.
As a Snowflake Technology Partner, we leverage the world's most secure data cloud to deliver meaningful scale (45TB+) with sub-second latency.
We are pioneering the use of Large Language Models (LLMs) for "Forensic ETL"—using AI to structure unstructured legal text into rigid database rows.
London is just the Proof of Concept.
We started in London because it is the hardest market in the world to model—a complex web of ancient laws, modern finance, and dense urban planning.
We have solved the "London Problem." Now, we are preparing to deploy this infrastructure globally. Our roadmap includes expansion to New York, Singapore, and Dubai—creating the first unified, global schema for city data.
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