The Agentic Reasoning Cycle
Watch the Agents Reason in Real-Time
Select a scenario and step through the agentic reasoning cycle — Sense → Understand → Decide → Act. See how the same four-agent architecture spans the crane bay, the BOF converter, and the ladle bay — one reasoning architecture over a steel-specific physics layer.
Interactive Simulator
The agentic cycle in action
Three illustrative steel scenarios — crane clearance, BOF endpoint, ladle lift & landing. Click Play to auto-advance, or Step through manually. Inspect each stage to see agent reasoning.
01 — Sense / Data Ingestion
Fusing camera + radar over the crane bay
Camera Tracking
Load locked
Radar Clearance
3.8 m
Load Speed
0.7 m/s
Bay State
Deviation flagged
After Act, the cycle loops back to Sense — continuously
The Cycle
Four stages. One loop. Continuous operation.
Sense
Real-time ingestion from furnace & ladle video (GMSL2), crane geometry, radar clearance, level & telemetry, PLC/SCADA, and thermal/IR. Agents receive a continuous stream of plant-floor state.
Understand
Monitoring and Prediction agents apply steel physics — BOF two-zone kinetics, heat-transfer & thermal models, caster solidification ROMs, and clearance & crane kinematics — grounding reasoning in physics.
Decide
Reasoning and Decision agents synthesize physical understanding into risk assessments. Anomalies are prioritized. Recommendations generated with confidence intervals.
Act
Automated alerts dispatched, dashboards updated, response workflows triggered. Agents loop back to Sense immediately — no manual restart required.
Why Autonomous Matters
Speed, explainability, and continuous operation
Speed
Minutes, not hours
Agents operate continuously. Anomaly detection happens in the current cycle, not the next shift.
Explainability
Physics grounds every decision
Agents don't hallucinate. Every recommendation traces back to a physical model and a measurable input.
Reliability
No manual restart required
The cycle loops automatically. After Act, agents return to Sense without human intervention.
Ready to explore the platform architecture?
See how the four layers — ingestion, physics, agents, application — fit together