Data & BI
Data ready for your AI agents, without exposing what is sensitive.
An AI agent is only as good as the data it consults. Your AI projects stall on data that is scattered, poorly documented or too sensitive to expose: we identify it, prepare it and control access to it, so your agents answer correctly.
This is for you if
Data for AI: do any of these sound familiar?
- Your AI trials give approximate answers because the data is incomplete or out of date.
- Your documents and data are scattered across several tools, with no description.
- You hesitate to connect an agent to your data, for fear of exposing sensitive information.
What you get
AI agents that rely on reliable, up-to-date, authorised data.
For example: prepare the internal document base an agent consults to answer your teams, respecting the access rights of every document.
Sources identified and described
The data and documents your agents need, listed, cleaned and documented.
Reliable search in your documents
Your documents split and indexed so the agent finds the right passage and cites its source.
Controlled access
The agent only consults what the person using it is allowed to see, and every access is logged.
Freshness and quality monitored
An alert when a source is no longer up to date or its quality drops.
How it works
Data for AI: clear steps, taken with your teams.
Choose the uses
We start from the questions your agents will handle, to know which data matters.
Prepare the sources
We clean, document and index the selected data and documents.
Control access
We apply your access rights and log every lookup, before any agent is connected.
Keep it up over time
We set up freshness and quality monitoring, and hand it over to your teams.
Does our sensitive data leave our perimeter?
No. The data stays within your perimeter, on the cloud of your choice, and we set up the models so that it is not used for their training.
Do we need a data platform before launching an agent?
Not always. For a first agent, we only prepare the sources it needs. A data platform becomes useful as the uses multiply.
How do we know the agent answers correctly?
With your teams, we build a set of questions and expected answers, and we measure answer quality continuously.
Go further
Other offers that may help.
Is your data ready for your agents? Let’s talk.
Describe your need in a few lines: an engineer gets back to you and proposes a suitable scope.