Manufacturing & Industrial
Industrial IoT, edge analytics, OEE visibility, condition monitoring and embedded systems for plants, machines and field assets.
What makes this sector difficult.
The technical stack is only one part of the problem. These are the operational realities that shape the design.
- 01Legacy controllers and isolated machine data
- 02Unreliable networks and harsh environments
- 03Manual OEE and downtime reporting
- 04Pilot systems that never reach fleet rollout
Controls that address the operating risk.
These are the mechanisms we commonly design, not a promise that every project needs all of them.
Modbus, OPC UA, CAN and PLC/SCADA integration
Edge buffering with store-and-forward
Time-series data with asset hierarchy
Device identity, signed OTA and rollback
Where we usually start.
Most sector programmes combine several practices. These are the most relevant starting points.
Read the technical detail.
Money movement fails at the seams: retries, webhooks and partial failures. The control model must make every event explainable.
Read 8-minute noteCan you work with our existing PLCs?
Yes, through supported industrial protocols and gateways. We treat controller changes as a last resort and document safety boundaries.
Do we need cloud connectivity?
Not always. Edge processing can run locally with selective cloud sync, which is often better for latency and resilience.
Tell us where the current system breaks.
We will respond with the constraints we need to understand, the risks we see and a defensible first step.