Enterprise Graph
Regulations, contracts, processes, products, and people, all in one queryable substrate. Built on DIG, the Declarative-Imperative Graph.
Deterministic AI
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.
Continuous compliance
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.
Live cross-domain impact
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.
Deterministic AI
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.
Continuous compliance
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.
Live cross-domain impact
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.
The substrate
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.
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We work with regulated enterprises building toward a single model of themselves.
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