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Enterprise Graph

One graph for the whole enterprise.

Regulations, contracts, processes, products, and people, all in one queryable substrate. Built on DIG, the Declarative-Imperative Graph.

Deterministic AI

AI conclusions you can defend.

Same question, same graph state, same answer. Every answer is a path through the graph; every path is replayable; every path is auditable. Reasoning cannot invoke rules that are not nodes or object states that are not maintained.

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A question flows through an AI agent, traverses Enterprise Graph (Rule, Object, Event, Evidence) and produces a typed path that is itself the answer. The path is replayable.

Continuous compliance

Conformance, evaluated at query time.

Three independent scores per subject: rules satisfied, trajectory followed, object states admissible. Compliance becomes a property the object continuously evaluates about itself. Not a quarterly audit. A live, queryable property.

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A subject (customer, contract, or process) is evaluated by three independent scores: declarative, imperative, and object. The three feed a single verdict.

Live cross-domain impact

When something changes, see everything else that changes.

Regulatory, commercial, operational, financial, safety, HR, product, customer, control, and security reality, all in one substrate. A change anywhere propagates along typed dependencies to everywhere it matters, query-time.

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A change to Regulation v3 propagates along typed dependencies to a contract, a customer, and a control, which in turn affect a process, an open deal, and evidence.

The substrate

Graph-native. Queryable. Versioned. Evidence-bound.

Heterogeneous first-class entities, many-hop traversal in bounded work, relationships as full citizens, a single query model across structure, state, and history. Not a graph rendered from a warehouse. A graph stored and queried as graph.

Live demo

See Enterprise Graph in action.

Demoed daily to enterprise customers.

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We work with regulated enterprises building toward a single model of themselves.

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