Operators see sensor data. Offset tells them what to do next.
AI decision support for industrial control rooms and emergency response teams, combining SCADA, IoT, and comms data into one prioritized recommendation when seconds count.
The gap between data and coordinated action.
Industrial and emergency operators handle 40 to 200 concurrent inputs from SCADA, PLCs, sensors, and comms channels. In a critical event, human attention reaches a hard limit. The data exists. There is not enough time to read it all.
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Slow responseOperators manually join signals across screens before building a response plan. Meanwhile, conditions keep changing.
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Wrong priorityAlert volume adds noise. A consequential signal may sit beneath lower-severity notifications that arrived earlier.
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Information silosProcess data, comms logs, and incident records sit in separate systems. No operator sees the complete picture at once.
One recommendation. Every reason visible.
Offset adds no new alert stream. It turns existing data into one ranked action, while showing each signal behind it.
Data synthesis
Offset takes live feeds from existing SCADA, IoT sensors, and comms infrastructure. No rip-and-replace. Connect through OPC-UA, MQTT, and REST APIs already exposed by your systems.
Reasoning in context
The AI compares current conditions with historical incidents and site runbooks, then produces a prioritized recommendation with a confidence signal and supporting data points.
Audit trail
Each recommendation carries a timestamp and its source inputs. Operator response is logged automatically for post-incident review and regulatory records.
Built for your environment
Two focused verticals. One decision engine beneath both.
Chemical, refinery, and energy operations
Offset helps process teams spot deviations before shutdowns occur. It watches live process variables and presents an intervention recommendation when conditions call for one.
Industrial use case Emergency ResponseFire service and civil emergency teams
During multi-team emergencies, Offset combines incident data across units and gives incident commanders a triage recommendation as situations develop in parallel.
Emergency use caseFits your existing operational stack
Offset reads standard industrial data interfaces. Your team can run a pilot without an integration project.
Early-access feedback
We ran a 30-day pilot on one process unit. Recommendation accuracy exceeded my expectations, particularly during catalyst regeneration, when manual coordination typically costs us 2 to 3 hours of output.
For emergency response, showing regulators a time-stamped record of the system's recommendation and the operator's decision changes the accountability discussion completely.
Begin a 30-day pilot.
We connect Offset to 1 to 3 live data feeds. No integration project. No contract. Assess recommendation quality in your real operating environment.