Two fronts, one partner.
We build the platform that holds your data and put frontier models to work on top of it. In production, not in pilot.
built on
Our mission is to make every company's data usable — by the people who run it and by the agents that will.
Every company already has the data. Almost none can put AI on top of it. DataSpoc closes the gap.
Most AI projects die on the same rock: the model is excellent, but it cannot reach the company's real data. We work both sides. We build the platform we deploy — Pipe, Lens and ML are open source, already in production, and ours — so we arrive with the data layer solved and the effort goes where it matters: the model producing a result.
Two fronts. Take one, or both in whatever order makes sense.
01 · The foundation
Ingestion, transformation and a query layer over your bucket. Data leaving the source and landing organised, incremental and queryable — in four weeks, operated by us and owned by your team.
02 · The outcome
Agents and applications on frontier models, wired to the company's real data over MCP. From use case to running system — no boardroom demo, no hallucinated revenue figure.
An agent is only useful if it reaches the real data. We already built that layer and it is ours — so your AI starts standing on something, not on a hand-exported CSV.
We ship systems your team can read, own and change. Nothing here dies the day the consultant leaves.
Apache 2.0, no lock-in. Everything runs on storage you already pay for, under IAM you already control — including what the agent can see.
The agent queries the same tables your analysts query. No embeddings, no vector store, no inventing a revenue number.
Ingestion, transformation, SQL, notebooks, machine learning and agents. One partner across the whole path, not a hand-off at every stage.
Three tools we wrote, use on every engagement, and give away.