Useful AI, built into your product and your processes.
AI interests you, as long as it is useful.
Potential without a use case
You can sense what AI could bring to your business, without knowing yet where it would really make a difference.
Tasks that tie up your teams
Reading documents, sorting requests, data entry, summaries: time spent on tasks that automated processing could take over.
Underused data
Documents, history, internal databases: the information exists, but it remains hard to find or to use.
A prototype that never reaches production
A promising proof of concept, but not yet reliable, secure or connected to your tools.
AI under control, not a black box.
Your data under control
We choose with you where your data is processed and by which models, according to your confidentiality constraints.
Evaluated quality
Each feature is tested on real cases from your business before it is handed to your users.
People stay in charge
Validation, correction, manual fallback: AI assists your teams without deciding for them where a decision affects your business.
What we build into your product.
AI features
Natural language search, summarisation, classification or content generation, added to an existing product or a new project.
Business assistants and copilots
Assistants that draw on your documents and your data to answer, draft or guide your teams.
Process automation
Information extraction, request sorting and routing, document processing, chained with your existing tools.
Making use of your data
Structuring, enriching and searching your data, so the information is useful day to day.
From use case to production.
Find the right use
We start from your processes and your users to pick a use case where AI brings a real gain.
Prototype and evaluate
A first version tested on your data, against quality criteria defined together.
Integrate
Release into your product or your tools, with security, monitoring and tracking of usage costs.
Monitor and improve
Models and uses evolve: we measure, adjust and grow the feature with you.
Frequently asked questions
Do we need an existing product to add AI?
No. We build AI into an existing product as well as into a new project, or directly into your internal processes.
How do we know whether AI fits our need?
That is the purpose of the first step: we examine the process in question and tell you frankly whether AI is the right answer, or whether a simpler solution is enough.
Is our data used to train models?
Not without your agreement. We choose providers and configurations according to your confidentiality requirements, including options where your data is neither retained nor reused.
Which models do you use?
Whichever suit your use case: models from established providers or hosted models, depending on your constraints. The choice weighs quality, cost, confidentiality and maintenance.
Can you take over an existing AI prototype?
Yes. We assess its reliability, its security and its integration, then make it production-ready or recommend starting from another base.
A use of AI to explore?
Tell us about your need and your context: that is where the conversation starts.
Talk about your project