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Why Iontos

Plenty of tools can store a graph or call a language model. The difference is in a handful of choices that, together, produce knowledge you can actually rely on.

One merged view of public and private​

The two-graph model lets you work with a single, resolved view that combines an authoritative public picture with your own private intelligence — without rebuilding the public picture yourself and without exposing your private data. This is the core advantage, and the rest reinforce it.

The right reader for each source​

Iontos reads prose with a language model and structured records with a deterministic mapper. Sending already-structured data through a model is slower, more expensive, and risks invented details. Matching the method to the source makes the result more accurate and cheaper at scale — and keeps machine reasoning where it genuinely adds value.

Consensus, not just collection​

Most tools collect facts. Iontos reconciles them. When sources disagree about a date, a name, or an ownership stake, the platform resolves the conflict into a single answer instead of handing you a pile of contradictions to sort out by hand.

Every fact carries its provenance​

Each fact in the graph stays linked to the source it came from. In regulated and high-stakes work, an answer you can't defend is worthless — so "how do we know this?" is always one click away.

Quality is built in, not bolted on​

Data-quality checks are part of the pipeline, not a separate clean-up project. Gaps and inconsistencies are caught before they reach the graph, so what analysts see is what survived the checks.

A shared language across sources​

Sources describe the world in their own terms. Iontos maps them onto a consistent, controlled vocabulary, so "owns", "controls", and "is the beneficial owner of" mean the same thing no matter which source they came from. That consistency is what makes a graph queryable instead of merely large.

Built in Europe, sovereign by default​

Iontos is built and operated in Europe, with data sovereignty treated as a starting assumption rather than a compliance checkbox. See trust & data sovereignty.

Together these choices produce the thing that is genuinely hard to build: a graph that is connected, current, reconciled, and defensible — across public and private data at the same time.