Operational technology is where the company actually makes money — production lines, refineries, processing plants, fleets, depots, substations, hospitals. Connecting that world to the IT systems running the rest of the business unlocks reliability, throughput and margin. It also exposes safety and security risks that need to be designed for, not bolted on.
We work where the operating model and the engineering meet. That means we are as comfortable in a control room or on a plant floor as we are in a cloud architecture review. The decisions that determine whether a programme succeeds are almost always made at that intersection.
What we work on
OT / IT convergence
A clear architecture for where the plant network ends and the enterprise network begins, with the data flows, identity model and segmentation that keep the two operable but isolated. We build to recognised reference models (Purdue, ISA/IEC 62443) so the audit conversation is straightforward.
Convergence is not a one-off cutover. It is a sustained change to how engineering and IT teams operate together — change control, on-call, security incident response, vendor management. We design the operating model alongside the architecture.
Industrial IoT platforms
Telemetry pipelines from PLCs, sensors, vision systems and edge gateways into a platform that engineers, operators and data scientists actually use. We integrate with the historians, MES and SCADA systems already in place rather than ripping them out, and we route the right signals to BI dashboards, control rooms and analytics teams.
Most industrial estates have been generating useful data for years; what is usually missing is the connective tissue. We focus there first, then on the analytics that the connected data unlocks — not the other way around.
Real-time process control
AI-supported control loops that watch live telemetry — temperature, throughput, calorific value, moisture, vibration, emissions — and tune set points against operating envelopes. Closed-loop where the process tolerates it, advisory where it should not. We have built these for thermal-conversion plants where small changes in feed mix and combustion parameters move the economics meaningfully.
We do not pretend autonomous control is appropriate for every process. Some operations have hard safety constraints that demand human authorisation for every move; others can hand the steering wheel to a tuned model. Knowing which is which is half the engagement.
Computer vision and robotic automation
Vision systems for classification, contamination detection and quality grading on conveyors, pick-lines and inspection stations — driving robotic sorting arms or simply flagging human operators. Trained on plant-specific data, retrained on a schedule, monitored for drift.
The economics here are sharp. A vision system that lifts recovery rates by even a couple of percentage points pays back the capital in a single shift. We design for that payback and we measure it.
Predictive maintenance
Anomaly detection on vibration, current draw, thermal and acoustic signals — surfaced through the CMMS work-order flow operators already use. We focus on the assets where unplanned downtime costs the most, not a wall-to-wall sensor rollout.
The mistake most predictive-maintenance programmes make is starting with the technology rather than the asset register. We start with the asset register, prioritise by cost-of-failure, and instrument only what earns it.
OT cybersecurity
Asset discovery, segmentation, monitoring and response for industrial environments. We assume a hostile network, design for safety-first failure modes, and build the runbooks your SOC needs to operate without a dedicated OT specialist on call.
We have worked with operators after they have had to recover from a serious incident. Nothing focuses an architecture conversation faster, and the lessons travel: defence in depth, segregation that actually works under stress, and the playbooks operators can run without escalation chains that take hours.
Connected products and field operations
For OEMs and field-service operators: connected products that generate the usage telemetry to power service contracts, parts logistics and proactive maintenance — and a back office that can act on it. The hardware is necessary; the back office is what monetises it.
Sectors we serve
- Manufacturing — discrete, process and hybrid environments.
- Waste, recycling and circular-economy operations — sorting, conversion and recovery plants.
- Energy — generation, transmission, distribution and renewables.
- Logistics and transport — fleets, depots, ports and rail.
- Utilities — water, gas, district energy.
- Healthcare estates — clinical-engineering and facilities telemetry.