Industrial AI
Observation, Estimation, and Optimization Are Different Product Stages

Industrial combustion intelligence develops through distinct technical stages.
Observation organizes what can be seen and reviewed. This may include flame images, video, visual overlays, process context, operator notes, and session history.
Estimation attempts to infer a condition that cannot be established from the interface alone. Validated estimation requires a governed dataset, reference measurements, an identified model version, a documented test protocol, and evidence that the output generalizes to the intended operating environment.
Optimization adds another layer. It requires a validated process relationship, plant integration, operating constraints, safety review, and clearly defined human authority. Equipment control introduces still greater engineering and governance requirements.
The current BurnHancer showcase focuses on observation and decision-support workflow. Experimental and simulated elements are visible, but validated UBC estimation, live plant integration, optimization, and equipment control remain outside the current scope. Keeping these stages separate makes both present progress and future technical work easier to evaluate.
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