Two connected loops. One gets you grounded operational intelligence today. The other makes it sharper every cycle.
The outer ring, OperationalIQ, runs the operational cycle. The inner ring, FrontierIQ, is where validated outcomes are promoted into the agent's own working knowledge.
Connects to your data, analyses, detects, alerts, and acts — grounded operational intelligence, cited to source.
Every validated action becomes a training signal. The system gets smarter per domain, per deployment — no fine-tuning pipeline required.
Click any node in the diagram for a stage-by-stage breakdown.
Every stage feeds the next, and every validated cycle makes the next one sharper. Click any node above.
Data enters on the left. A grounded, governed, learning agent responds on the right.
Reads raw data sources, profiles schema, classifies content, determines AI-readiness.
Semantic index and corpus — the domain/function layer is configurable per deployment.
Governed MCP gateway — tenant scoping, full audit trail, no data replication.
Claude on Azure AI Foundry — grounded, tool-using, domain-specific personas.
Continuous improvement — every validated interaction becomes a training signal.
Grounded reasoning through the whole pillar chain. Every interaction is captured by LoopIQ and becomes part of the domain's learning signal.
Direct retrieval with no inference and no LoopIQ capture — for when you just need grounded data, not an answer.