Agents that reduce signals from thousands of devices to one incident and one decision: anomalies, OTA, cold chain.
Connected device fleets produce data, not decisions. Anomaly alarms reach teams unclustered, firmware rollouts are postponed out of fear, and nobody knows who does what in a sensor excursion. Aginies turns signal into incident and incident into decision with agents connected to the IoT platform, time-series database, device management and field service; bulk device commands and critical segments always pass human approval.
Alarm noise
Hundreds of alarms from one root cause; the team misses the real incident.
Risky OTA rollouts
Whole-fleet updates in one go; no rollback plan.
Sensor-to-action gap
The breach is seen, but service order, customer notice and quality decision are done separately by hand.
Data volume
Telemetry volume explodes cloud model cost; small on-prem models are needed.
Agents you can watch live for this sector
Device fleet anomaly triage
Telemetry anomalies from thousands of devices are clustered, root-cause candidates listed, one incident reaches the right team.
Staged OTA update rollout
Firmware rolls out in 1% → 10% → 100% stages; a health gate at every stage, human approval for critical fleets.
Cold-chain excursion response
A temperature excursion is assessed instantly, product risk computed, a field crew dispatched, the quality decision recorded.
Maintenance ticket triage
Sensor alarm and technician voice note become one work order, spare parts and a safe stop window included.
Outage report handling
Reports are clustered by feeder, one OSS ticket is raised and everyone affected hears before the crew leaves.
- Human approval on bulk device commands and critical fleet segments
- Automatic rollback when a health gate fails; every stage recorded
- Telemetry stays inside; low cost with small on-prem models
Time to move from experimenting with AI to transforming with it.
In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.
- Your 2–3 priority problems
- Live demo of a similar scenario
- Roadmap starting with value analysis