Sensor, PLC and machine connectivity — the data layer AI runs on. We connect devices, assets and systems for real-time monitoring and predictive intelligence, from sensors on the shop floor to edge gateways to the dashboards and AI models that act on the data.
Machines produce constant signals — temperature, vibration, current, cycle counts — but most of it is never captured, or sits in isolated controllers. Without that data, maintenance stays reactive and AI has nothing to learn from.
Select, install and connect sensors to new and existing equipment.
Process data on site for instant alerts, even when the connection drops.
Live views of machine health, with thresholds and alerts your team can trust.
AI models that flag likely failures early, so you fix them on your schedule.
Track power use by line, machine or shift and find waste.
Know where tools, pallets, vehicles and equipment are, in real time.
Machine events become work orders, quality records and inventory updates.
Secure device networks and monitoring for threats, with our AI Security practice.
We recommend a focused pilot on the equipment that costs you most when it stops, then scale what works.
We’ll scope a pilot around it, from sensors to prediction.
Tell us what you'd like AI to change in your business. We'll come back with an honest view of where to start — and where not to.