Approves, signs, arbitrates. Has the final say.
Run by agents.
Augmented by humans.
Patrimoine installs a complete, state-of-the-art data platform in your cloud and operates it day to day. Ten agents handle the run; a single person stays on call.
The platform runs around the clock, even when nobody is there.
Around the clock, the agents load, test, watch and prepare fixes in the sandbox. During the day, your teams build with them, faster than ever before. And whenever you come back, everything is written down: what was handled, what awaits your signature, the KPIs to watch.
Maison Verdier demo: a fictional retailer, data generated around the clock, a real infrastructure running it. How the demo works
Ten agents, and the humans who guide them.
Each agent takes over a data-team role, with its mission, its tools and its contract. You call them with a /, like a colleague. Everyone works around the clock; the humans approve, sign and give the context.
Coordinates the team and writes the morning report.
Loads your sources around the clock, without losing a row.
Builds and evolves your data models.
Tests every table before anyone reads it.
Watches the platform and contains incidents, 24/7.
Tracks your KPIs and flags what moves.
Documents every table, definition and decision.
Keeps the cloud bill under control.
Checks access and protects personal data.
Delivers data to your tools: ERP, CRM, AI assistants.
Give the context and explain the numbers.
Sets the company’s ambitions.
What a data team does, for a fraction of its cost.
A data team is often heavily tied up by the run and technical debt: keeping things running, fixing, watching, at the expense of building. Patrimoine gives that time back: the agents take the run, quality and daily reports; maintenance costs fall; the team focuses on what creates value, and time to market improves.
Source: Fivetran, The Enterprise Data Infrastructure Benchmark Report 2026 (March 2026, 500 data leaders at companies with over 5,000 employees): 53% of engineering capacity goes to maintaining and troubleshooting pipelines.
Something breaks
at 2 am.
The Operations agent notices, contains it, tests a fix in the sandbox, and writes down what happened in plain language. You read it in the morning.
A broken data contract, a late flow, a saturated machine.
Hold the load, keep yesterday’s figures displayed as such, suspend outbound flows.
Prepare and test the fix in the sandbox, never directly in production.
What happened, what was done, what was checked, what remains: everything is written and timestamped. The fix awaits your signature.
Agents surface the facts.
Your teams give the context.
It is a virtuous loop: every piece of context your teams give is reread by the agents right away, and comes with the facts that follow. Your teams train the agents, day after day, and your know-how stays in the platform.
- 01
The agents surface a fact
- 02Your teams give the context
- 03
The agents reread it right away
- 04
The next fact comes with its context
Approves, signs, arbitrates. A single person on call is enough.
They give the context, decide and sign their explanations. Patrimoine asks them: an invitation, never an order.
Every certified number carries a seal, a version, an owner and a one-line definition.
Examples from the Maison Verdier demo, a fictional company.
Everything an AI-native data team does.
Your data team now runs
around the clock.
Closed beta: we install Patrimoine in your cloud and work out the benefit with you, on your data.
