Decision intelligence for machines that act.
Specialized machine intelligence for consequential operational decisions. GEFI is being developed to evaluate permitted alternatives under physical constraints, produce operationally meaningful decision confidence, and decline autonomous action when uncertainty is too high.
Sensors, telemetry, geometric bounds
Evaluates permitted alternatives under uncertainty
Deterministic PLCs, supervisory fallback
The missing layer between intelligence and control.
Industrial environments already operate world-class systems for machine vision, sensing, motion planning, and deterministic control. Yet modern automated facilities continually encounter moments where live physical state demands selecting among permitted actions under uncertainty.
What is happening?
Computer vision, sensor arrays, telemetry feeds, and spatial mapping identify physical states, detect anomalies, and track coordinates across the facility.
Which action should be chosen?
Evaluates permitted operational alternatives under environmental uncertainty, quantifies decision confidence, and declines autonomous execution when evidence is insufficient.
How is the action executed?
Industrial PLCs, robot controllers, and hardwired safety circuits enforce kinematic constraints, interlocks, and deterministic motion execution.
Consequential decisions across physical systems.
GEFI is designed as a specialized decision intelligence capability for environments where choices have physical, financial, and operational consequences.
Autonomous Navigation & Recovery
Selecting safe recovery maneuvers when mobile robots encounter dynamic blockages, corridor contention, or lost localization.
- • Obstacle avoidance routing
- • Fleet corridor arbitration
- • Docking & latching recovery
Dynamic Process Intervention
Arbitrating machine assignment and tool-wear interventions in high-throughput assembly lines when cycle times drift.
- • Dynamic job re-routing
- • Tool-wear remediation triage
- • Quality inspection exception routing
Intralogistics & Material Flow
Resolving automated buffer allocation, conveyor congestion, and crane dispatch priorities across complex fulfillment facilities.
- • Buffer contention resolution
- • Automated crane dispatch
- • Sortation line failover routing
Plant Operations & Maintenance
Translating predictive maintenance alarms into consequential operational decisions before critical plant equipment fails.
- • Maintenance action triage
- • Resource & queue balancing
- • Facility operational exception handling
An unexpected obstruction. Multiple safe recovery paths.
Consider an autonomous mobile transport unit navigating a busy industrial corridor when an unmapped obstacle blocks its primary path.
Evaluating Alternatives Under Uncertainty
Traditional systems often rely on rigid rule trees that either deadlock or force an inappropriate maneuver. Generative language models are too slow and lack physical grounding.
The surrounding automation system identifies permitted recovery strategies. GEFI evaluates the situation in context and determines whether autonomous action is sufficiently justified. When uncertainty is elevated, control remains with established fallback or supervisory systems.
An unexpected obstacle is encountered; the system identifies permitted recovery strategies.
Evaluates permitted alternatives within operational context and quantifies decision confidence.
Proceeds autonomously when justified; otherwise yields cleanly to supervisory or fallback control.
Built to complement, not replace.
Industrial enterprises have spent decades engineering rigorous control loops, deterministic PLC logic, and certified safety interlocks. GEFI is designed to integrate into this ecosystem as a specialized decision service, not an unconstrained replacement.
Hard Constraints Are Inviolable
Physical safety constraints and deterministic interlocks remain authoritative regardless of the decision intelligence layer.
Upstream of Existing Controllers
GEFI operates between high-level operational perception and low-level deterministic execution, evaluating alternatives and passing decisions to existing controllers for motion execution.
Confidence Does Not Dictate Authority
Plant governance determines execution rights. High decision confidence alone does not bypass institutional rules; critical interventions remain gated by supervisory policies.
A new layer for autonomous systems.
Machines increasingly perceive complex environments. Controllers increasingly execute sophisticated behaviors with extraordinary precision.
Between those capabilities sits a consequential question: what should happen next? GEFI is being developed as specialized machine intelligence for that decision boundary.