Your company's memory, one question away.

We build your AI assistant on your own data — documents, emails, contracts, business tools. You choose where the AI is hosted, and each role sees only what it should.

Design my enterprise memory
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What is an enterprise memory (RAG)?

It's an AI assistant connected to your internal documents — emails, contracts, plans, ERP, Drive: a true knowledge base everyone queries in plain language, with role-based access and sourced answers. Your choice: encrypted cloud or a sovereign model hosted on your premises.

Full cycle

Collect, organize, protect, answer

Enterprise memory is not a simple chatbot dropped on top of files. It is a controlled cycle: sources come in, knowledge is structured, access rules filter retrieval, then answers come out with sources.

Engrammenterprise memoryTry it

step · collection

Automatic collection

The memory reads your folders, documents, business tools, watchlists and notes continuously. The goal is not to paste the company into a prompt, but to keep fresh and usable knowledge.

Security

Who can access what

Filtering happens at retrieval time, not after. A salesperson will never see a payslip.

Role in the company

100%Memory access

Management

7 / 7 domains accessible

Company memory

  • Strategy & ManagementAccess
  • Finance & AccountingAccess
  • HR & PayrollAccess
  • Engineering & CodeAccess
  • Sales & CRMAccess
  • Legal & ContractsAccess
  • Communication & EmailsAccess
Deployment

Two models, depending on your security level

From encrypted cloud to sovereign hosting — you stay in control.

Encrypted data · zero-retention commitment · no training on your data.

Use cases

What your teams can ask

Everyday questions, instant and sourced answers — whatever your field.

Construction

«What thermal regulation applies to the Les Tilleuls site?»

Legal

«Summarize the termination clause of the unit 4B lease.»

Finance / Accounting

«Which supplier invoices are still unpaid this month?»

HR

«How many days of leave after 4 years of seniority?»

Real estate

«Which leases expire next quarter?»

Manufacturing

«What is the maintenance procedure for line 4?»

Sovereignty & compliance

Your data stays your data

Built for European requirements — GDPR, EU AI Act, controlled hosting.

GDPR by design

Minimization, traceability, cascading right to erasure. Compliance is built in from the design phase.

Sovereign hosting

Encrypted cloud or servers on your premises / a European data center. You choose where your data lives.

Sourced answers

Every answer cites its source documents. Verifiable, auditable — no black box.

Audit trail

Who asked what, from which sources. A useful foundation for traceability and control obligations.

Benefits

What it changes, concretely

The orders of magnitude reported by studies on enterprise document-AI deployments.

70%

of time saved on document search (up to)

<12

months for a return on investment (observed)

100%

of answers cite their sources

24/7

available for recurring questions

Indicative ranges: results depend on the scope, data quality and adoption level within your teams.

Interactive demo

See an enterprise memory in action

A full simulation on a construction company: sources, central memory, role-based access and realistic use cases.

Explore the construction demo
FAQ

Frequently asked questions

Can you use AI on confidential documents within a controlled GDPR framework?

Yes. Your data stays within a controlled perimeter: zero-retention encrypted cloud, or a sovereign model hosted on your premises / in a European data center. No data is used to train a third-party model — with an architecture designed for GDPR and the EU AI Act.

What's the difference between RAG and fine-tuning?

RAG gives the AI access to the right documents at answer time (fresh, sourced); fine-tuning retrains the model, mostly useful for style. For an enterprise memory, you almost always start with RAG.

How do you build an internal AI assistant on your documents?

We connect your sources (Drive, email, ERP, internal databases), index them, then expose an assistant that answers while citing its sources — without rebuilding your tools. Deployment happens scope by scope, gradually.

How long and what budget to deploy?

A first useful scope goes live within a few weeks. The budget depends on the volume of sources and the chosen model (encrypted cloud or sovereign). We start with a free audit to frame the project.

And for your company?

We build the same memory on your data, your tools and your access rules.

Design my enterprise memory
Free audit · reply within 48 h