There is no magic in the middle. Data comes in on a schedule, lands in tables you could query yourself, and an AI layer reads those tables and shows you the SQL it ran. If any part of that is wrong, you can see where.
Each system you run gets a connector that pulls its records on a schedule and keeps them reconciled against the source. Built and maintained by us — you don't operate pipelines, and you don't get billed per row.
When a new system enters your stack, we add it. That's the arrangement, not an upsell.
Everything lands in standard SQL tables in your own tenant — normalized, joined across systems, with history preserved rather than flattened into a current-state snapshot.
Hosted in your cloud account or in ours, on the warehouse engine you prefer. Tenants are isolated from each other at the data layer.
An AI layer sits on top, fluent in your schema. You ask in plain English and it answers from live data — and shows the SQL it ran alongside the answer, so any number can be traced back to the rows that produced it.
The same layer is exposed over MCP, so any agent you already use can query the business directly rather than being told about it.
Tell us what you run and one question you wish you could ask across it. You'll get a straight answer from the person who'd do the work.
hello@datassier.comAlready stuck in a system you've outgrown? Keep the SaaS. Own the data. →