Agents for every
layer of the stack.
Pick the layer that matters most to you — SCADA, MES, ERP / CRM, or the cross-stack tier — and see the specialized agents we deploy there, what they take in, what they produce, and the numbers we see in deployment.
Browse by layer
/ L1
SCADA / Historians
Agents that live closest to the signal — cleaning, enriching, and reasoning over raw sensor data.
/ 01
Sensor Cleanse
Continuously normalizes, interpolates, and quality-scores every tag before downstream agents read it.
Inputs
- Raw historian tags
- OPC-UA / MQTT streams
- Tag naming conventions
Outputs
- Cleaned tag stream
- Quality score per tag
- Interpolation + outlier annotations
98.4%
Avg. data quality
/ 02
Alarm Rationalizer
Cuts alarm floods by identifying chattering alarms, grouping correlated events, proposing suppression logic.
Inputs
- SCADA alarm logs
- Operator ack history
- Interlock sequences
Outputs
- EEMUA-191 KPI dashboard
- Suppression proposals
- Rationalization playbook
-62%
Nuisance alarms
/ 03
Asset Health
Tracks degradation signals on rotating equipment and surfaces failures before they cause downtime.
Inputs
- Vibration, temp, current trends
- Maintenance history
- Manufacturer curves
Outputs
- Health score + RUL estimate
- Maintenance recommendation
- Work order draft
+127 days
Avg. early warning
Don't see your agent here?
Every client ships at least one agent we didn't have before the engagement started. Once the semantic layer is in place, building a new agent becomes a one-week project rather than a one-quarter one.
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