Conversational AI for industrial data

We developed a new approach called Generative Augmented Retrieval (GAR) so you can finally trust AI reasoning.

GAR avoids hallucinations to provide clear answers — calculated, not generated — based on facts retrieved directly from your data. It applies powerful reasoning to help you solve your most difficult problems and make important decisions.

Industry runs on numbers, but lacks a trusted way to use AI to retrieve, compute, and act on them.

Knowledge Model

Defines a detailed and interconnected model of your systems.

Intent Understanding

Uses generative AI to understand natural language intent, while retrieval and computation are done within SQL.

Query Planning

Compiles reasoning into deterministic query plans executed on governed data.

Transparent Process

Visualizes every step for validation, governance, and reuse.

Continuous Learning

Learns from user feedback, compounding knowledge over time.

Trusted Insights

Delivers precise, auditable results that operators can act on with confidence.

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