IIEIndustrial Intelligence Engineer
From industrial data to industrial intelligence.
IIE turns plant data, engineering documents and standards into cross-checked recommendations, with the decision always left to your team.
Currently in technical validation, running in a simulated plant environment. The demo assistant answers with pre-written examples.
IIE running in a simulated plant environment.
Earlier warnings
Spot developing conditions before they reach alarm limits.
Probable causes
Failure signatures across variables, not isolated tags.
Cross-checked evidence
Recommendations validated across independent sources.
Operator in control
Risk and confidence levels with an approval gate. Never autonomous.
Clear about what IIE is, and what it is not.
What IIE is
An intelligence layer above your existing systems, connected to plant data and engineering knowledge, built for evidence-based decisions.
What IIE is not
Not a replacement for DCS, SCADA, PLC or SIS. Not an autonomous control system. Not a generic chatbot.
What IIE does
Alarm management (ISA-18.2)Working in the demo
Four alarm levels per variable, with hysteresis derived from real sensor noise and validated over repeated simulated runs. Every state change is recorded with acknowledgment and can be exported to CSV or Excel.
Digital twin of the plantWorking in the demo
Each asset is a structured object with variables, instrumentation, thresholds, status and history. The data source is interchangeable, so the same engine can move from simulated data to a historian or SCADA.
Failure signature diagnosisWorking in the demo
When several variables match a known pattern, such as cavitation in a pump, IIE names it with risk level, confidence and a recommended action.
Cross-checked evidenceWorking in the demo
Recommendations pass through redundant 2oo3 and 4oo5 voting across independent evidence sources. A consensus engine adjusts confidence from the operator’s acceptance history, and cross-document checks catch contradictions, such as datasheet versus P&ID.
Knowledge from your documentsIn active development
Extracts operating parameters, maintenance activities and cited standards, and detects gaps in standards coverage by equipment type. It works in code today and is not yet connected to a real plant’s manuals.
Decision support, human in controlWorking in the demo
Recommendations in plain language, announced proactively, with risk and confidence levels and an approval gate. IIE never issues autonomous instructions to the plant.
Efficiency and emissionsWorking in the demo
When everything is in range, IIE suggests energy savings from the current load and shows the CO2 avoided per hour.
Consequence analysisOn the roadmap
Model the effect of an action on the rest of the process before recommending it, so a local fix does not create a downstream problem.
What IIE is built on
Engineering knowledge
Control, instrumentation and process practice, encoded so the software reasons in plant-engineering terms.
International standards
ISA-18.2 for alarm management and ISO 20816-3 for vibration, with every recommendation citing its basis.
Applied AI and software
Production-grade software and language models that show their evidence instead of asking to be trusted.