We give the power of data back to those who live it every day
At Graphicient, we believe technology only has value if it is understood and usable by the people who need it most, day to day. Our mission is simple: free companies from technical complexity to put people back at the centre of the decision.
2024: the same problem, everywhere.
Ambitious AI projects, substantial budgets, brilliant teams. And yet, on the ground, the same roadblocks kept coming back: never the technology, always the data, disorganised, siloed, locked into structures never built to evolve.
It is from that observation that Graphicient was born: a team of AI researchers and data engineers brought together around a spirit, that of applied research on real use cases.
Today, most companies solve this problem backwards: they stack AI on top of data that has never been cleaned, accelerating the use of data disconnected from the ground instead of fixing it.
Our conviction runs the other way.
"Well-organised data is worth a thousand algorithms."
The knowledge graph, not rigid structures
For AI to be genuinely effective, it needs solid foundations. Rather than multiplying static dashboards that require a technical expert every time a new question comes up, we chose a radically different approach:
The ontology carries the meaning
We precisely define the vocabulary, concepts and relationships specific to your business.
The graph links the information
We apply that model to your real data to connect information in a flexible, scalable way.
Thanks to this structure, asking a new question no longer requires rebuilding a system or launching a new IT project. Data finally adapts to your mental model, not the other way around.
Every line of code we write and every project we support is guided by three core principles.
Innovation and continuous improvement
We never treat a method or an architecture as final. We keep evolving to offer the best of the technology.
Collaboration and listening
Researchers, engineers and project leads work with one another here, not next to one another. That same commitment to listening applies to every sector we discover, until we understand its logic on the ground.
Responsibility
Everyone owns their part: the developer their code, security the architecture, the consultant fidelity to the field. Rigour that is distributed, not delegated to a single function.
AI is only dependable when meaning is explicit
The model before the tool
Until a company's concepts are written down explicitly, no dashboard and no language model knows what it is talking about. So we always start with the business model.
Verifiable, or nothing
An answer you cannot retrace has no value in a company. Every figure and every answer the platform returns shows the path it took through the graph.
Step by step, never big bang
The platform is modular because successful transformations are: a narrow scope, immediate value, then extend.
A product and data team, in Toulouse
Data engineers, modelling specialists and business people work in the same room. We design Graphicient in direct contact with the people who use it, which is why the product goes into so much detail.
See our open roles →
The strength of our graph-based approach is its ability to adapt to very different business challenges.
Manufacturing
Human resources
Supply chain & marketing
Healthcare
Finance
Ready to redefine the value of your enterprise data?
Stop letting siloed data hold back your ambitions and your teams' efficiency. Together, let's build robust foundations for enterprise AI that is performant, explainable and human.
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