Closed beta · installed in your cloud
Your data platform.

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.

/po
/quality
/insights
The product

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.

MORNING REPORT · 08:12
Good morning Thomas.
Six decisions are waiting for you.

Since yesterday: 11 things handled alone · 18 green tests · no outbound flow touched.

Waiting for you.
ReviewPR #142 · Make orders reliableQuality · 02:06
Review
SignatureLogidis migrationModelling · 02:04
Approve
QuestionWhy is margin out of bounds in Roubaix?Quality → Romain Carle
Follow up
GovernanceMargin target adjustmentawaiting Claire Vasseur
Certify
The Patrimoine HQ by day: the morning report, pending requests and the KPIs to watch.

Maison Verdier demo: a fictional retailer, data generated around the clock, a real infrastructure running it. How the demo works

The team

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.

HU-01Human
Platform pilot
You, or your data lead

Approves, signs, arbitrates. Has the final say.

signs
AG-01Agent
PO
Data product owner

Coordinates the team and writes the morning report.

/po
AG-02Agent
Ingestion
Data engineer · loads

Loads your sources around the clock, without losing a row.

/ingestion
AG-03Agent
Modelling
Data engineer · models

Builds and evolves your data models.

/modelling
AG-04Agent
Quality
Data quality

Tests every table before anyone reads it.

/quality
AG-05Agent
Operations
Data engineer · run

Watches the platform and contains incidents, 24/7.

/operations
AG-06Agent
Insights
Data analyst

Tracks your KPIs and flags what moves.

/insights
AG-07Agent
Catalogue
Data steward

Documents every table, definition and decision.

/catalogue
AG-08Agent
Costs
Data FinOps

Keeps the cloud bill under control.

/costs
AG-09Agent
Security
Ops and security · permissions

Checks access and protects personal data.

/security
AG-10Agent
Flows
Ops and security · outbound flows

Delivers data to your tools: ERP, CRM, AI assistants.

/flows
HU-02Human
Business and field teams
Finance, stores, supply…

Give the context and explain the numbers.

signs
HU-03Human
Leadership
Executive team, managers

Sets the company’s ambitions.

signs
The benefit

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.

Your team’s run, today and with Patrimoine
Today · the run53%
With Patrimoine · supervisiona few hours a week

The agents take the run; a pilot approves, signs, arbitrates.

What it frees up
Half of your team’s time.

To redeploy on data products, projects, business enablement. And on the cloud, 15 to 30% savings as a rule.

The numbers in euros are worked out with you, on your data and your team, during the beta.

Incidents

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.

02:00
Detect

A broken data contract, a late flow, a saturated machine.

02:01
Protect

Hold the load, keep yesterday’s figures displayed as such, suspend outbound flows.

02:04
Test every action

Prepare and test the fix in the sandbox, never directly in production.

08:12
Report back

What happened, what was done, what was checked, what remains: everything is written and timestamped. The fix awaits your signature.

What stays human

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.

  1. 01The agents surface a fact
  2. 02Your teams give the context
  3. 03The agents reread it right away
  4. 04The next fact comes with its context
PR #142Make orders reliable
18 green tests · prepared in the sandbox
ReviewSign
Platform pilot

Approves, signs, arbitrates. A single person on call is enough.

Textile margin is down 2.1 pt.
SMContext · Sophie MarekClearance extended by a week.
reread by the agents at 09:14
Business and field teams

They give the context, decide and sign their explanations. Patrimoine asks them: an invitation, never an order.

GROSS MARGINcertified v3
28.4%
Revenue minus purchases, over revenue · Nadia Bensaïd
Certified numbers

Every certified number carries a seal, a version, an owner and a one-line definition.

Examples from the Maison Verdier demo, a fictional company.

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.

quality
operations
security