Data meets knowledge
Your data chaos is costing you decisions. We put an end to it.
Graphicient captures and structures your business knowledge, then connects your scattered data into a single graph, for faster decisions and dependable enterprise AI.
Structure, explore, monitor, decide: four building blocks that combine to deliver what your teams actually need.
Structure, explore, monitor and query your data from a single graph
One foundation where the business model, visual exploration, KPIs and the AI assistant all share the same truth.
Discover the platform →Every team that needs a clear view.
From supply chain to HR, from product management to the industrial BoM: wherever your data is scattered, Graphicient adapts.
From scattered data to reliable decisions
Build a common language across the whole company.
The business model is drawn visually, versioned and shared between data and business teams. Knowledge that used to live in people's heads and in documents becomes a clear, single structure the whole company can reuse.
- +Visual ontology editor, no code
- +ETL and CSV imports, connection to your data lakes
- +Model versioning and confidentiality set concept by concept
Move through your data, without limits.
Start from one object and follow its relationships step by step: dependency chains, duplicates and breaking points become visible.
- +Interactive graph navigation
- +Guided paths, search and contextual filters
- +Explorations shared and annotated across teams
Query your data in plain language
The question is translated into a path through the graph: the answer arrives with the route it took, so it can be checked.
- +Answers grounded in the graph
- +Every answer traceable and explainable
- +Reusable skills, results returned as a graph
Indicators that reflect your business.
A KPI is defined as a path through the graph: it carries the business meaning and stays connected to the objects that produced it.
- +KPIs defined from real paths through the graph
- +Custom dashboards and threshold alerts
- +Export to your existing BI tools
What it changes, concretely.
A reliable AI
Answers rely on explicit relationships, not probabilities. Fewer hallucinations, more trust.
Your tools, connected
ETL, CSV, data lakes, BI tools: the graph plugs into what you already have, without replacing it.
Capitalized knowledge
Business knowledge stops leaving with people: it's modeled, versioned, transferable.
Explainable answers
Every answer exposes its path through the graph. You can verify it, challenge it, document it.
Faster decisions
A question asked in natural language replaces three meetings and a file hunt.
Secure and traceable
Access management, auditability and data control at every step of the journey.
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