AI-powered factory floor management.
Run predictive maintenance and quality control models directly on edge devices. Process sensor data locally, act instantly, and eliminate costly downtime.
Real-time decisions
Target uptime
Near-instant rollouts
What Admiral solves for industrial iot.
Configuration drift
Factory floors run a mix of ARM gateways, industrial x86, and legacy devices. They drift over time, cause failures, and nobody knows why. Admiral's immutable OS eliminates drift by design.
Production downtime
Manual updates require stopping the line. Admiral's atomic rollouts let you update thousands of devices without halting production, with instant rollback if anything goes wrong.
Harsh environments
Temperature, vibration, unreliable power, intermittent connectivity. Admiral's edge agent is built to run in conditions where cloud-only systems fall over.
Purpose-built for industrial iot.
Real-time edge inference
Process sensor data and run AI inference directly on factory floor devices. No cloud latency, instant decisions for critical operations.
Predictive maintenance
Deploy ML models that predict equipment failures before they happen. Reduce unplanned downtime and extend asset lifespan.
Near-instant updates
Atomic updates with automatic rollback. Update AI models and system configurations across your floor without stopping production.
With and without Admiral.
Without Admiral
- Manual updates require production shutdowns
- Configuration drift causes unexplained failures
- Cloud latency delays critical decisions
- Inconsistent device states across sites
- Expensive downtime from failed updates
With Admiral
- Near-instant updates during production
- Guaranteed identical configuration everywhere
- Millisecond edge inference for real-time control
- Unified management across all factories
- Instant rollbacks protect production
Where industrial iot teams use Admiral.
Manufacturing lines
Computer vision for defect detection, robotic control systems, and production line optimisation with real-time AI inference.
Equipment monitoring
Vibration analysis, thermal monitoring, and predictive maintenance models running on edge devices attached to critical machinery.
Safety systems
AI-powered safety monitoring, hazard detection, and automated emergency response with guaranteed uptime.
Process optimisation
Real-time process control with ML models that optimise energy consumption, throughput, and resource utilisation.
Let's talk about your industrial iot fleet.
Start free with 5 devices or talk to our team to scope a production rollout.