The two-graph model
This is the idea that makes Iontos different from both a generic graph database and a one-off data project. There are two graphs, and you see them as one.
The shared graph
Iontos builds and maintains a shared knowledge graph centrally, from public sources — company registries, global identifiers, open reference data, and the web. It is the same authoritative, multi-source picture for every customer: build it once, well, and everyone benefits.
You read the shared graph. You never have to assemble or maintain it.
Your overlay
On top of that, each customer has a private overlay — a layer built from your own sources, running through the very same pipeline. Your private entities, and your private facts about shared entities, live here.
The overlay is yours alone. It is never visible to other customers, and it never flows back into the shared graph.
One view, resolved across both
When an analyst opens the app or a system calls the API, the query spans both graphs and returns one merged answer: public consensus plus your private knowledge. Resolution runs across the boundary, so a private entity of yours can be recognized as the same real-world thing as an entity in the shared graph — and your private facts attach to it — without your data ever being exposed to anyone else.
| Shared graph | Your overlay | |
|---|---|---|
| Built from | Public sources, run centrally by Iontos | Your private sources, run on the same engine |
| Maintained by | Iontos | You |
| Who can see it | Every customer | Only you |
| Flows back to shared? | — | Never |
Why it matters
- You don't rebuild the world. The expensive, never-finished work of modelling public companies and their relationships is done once, centrally, and kept current.
- Your edge stays yours. Your proprietary data is what differentiates you. It stays private, while still benefiting from being connected to the shared picture.
- One engine, two jobs. The same pipeline that builds the shared graph builds your overlay — so private data gets the same extraction, resolution, and quality treatment as public data.
See what makes it different for how this sits alongside the platform's other distinguishing strengths, or trust & data sovereignty for the guarantees behind "your data stays yours".