Learn and analyze operating conditions of your unit, system, or process and predict when maintenance is required before it becomes an emergency situation
Identify data points or events that deviate from your unit's, system's, or process' normal, expected behavior so you can take appropriate actions
Analyze operational data against digital twin models to identify actions that improve operations and save money; all recommended actions are validated and controlled
Engineering inputs (drawings, equipment & I/O lists, documentation) are collected
Inputs are parsed to identify structure, relationship, and candidate outputs
Outputs are validated for quality, constraints, standards, and rules
Engineers review AI-assisted outputs to confirm validity of results