Mining, energy & industrial
Safer, smarter and more sustainable operations
Resilient tech for the toughest environments
Industrial organisations are expected to improve safety, reliability and sustainability while operating across remote and distributed assets, constrained connectivity, and legacy control systems that still have to work day to day. When telemetry is fragmented and change is risky, teams either fly blind or move slower than the business needs.
We bring engineering, data, AI, IoT and platform capability together to connect field operations to decision-making. We’ve worked with energy networks and utilities, mining operators, and industrial organisations running safety-critical operations across large, distributed environments. That means edge and sensor systems designed for harsh conditions and intermittent networks, plus secure, scalable foundations that stay reliable in production and supportable over time.
This is the kind of work we mean: digitising existing infrastructure with retrofit gateways to avoid costly rip-and-replace, including an IoT platform running across 1,000+ locations monitoring 5,000+ tanks. Automating device provisioning, updates and health monitoring so fleets can be deployed and maintained at scale, cutting provisioning time by 97%. Building integration and communications foundations behind large-scale smart metering, collecting consumption data at 30-minute intervals and exposing it to customers quickly.
We also build the operational layer around the data: real-time asset visibility for field and office teams, offline-first mobile tools for remote work, edge AI for safety monitoring, and machine learning on industrial imaging and sensor data to speed up analysis and improve decisions.
The result: technology that holds up in the field and in the boardroom. Safer change, fewer reliability surprises, better operational visibility, and a clearer path to predictive maintenance and sustainability outcomes.
Our expertise
Unify operational data from sensors, control systems and operational data stores, maintenance systems and environmental monitoring into governed platforms teams can trust. Apply analytics and ML for anomaly detection, condition monitoring, predictive maintenance and optimisation, so decisions are based on signals operators believe.
Design and deploy connected devices, firmware and secure connectivity built for harsh conditions and intermittent networks. Manage fleets with provisioning, over-the-air updates and health monitoring, and run edge inference where it matters so safety, uptime and performance aren’t dependent on a perfect connection.
We design for operational reality, not ideal conditions. We run research with operators, engineers and field crews, map end-to-end workflows across field, control room and back office, then translate that into dashboards and mobile tools people actually adopt. Design accounts for real constraints: offline use, low bandwidth, sunlight and gloves, role-based workflows, and fast situational awareness when incidents happen.
Industrial environments are integration environments. We connect sensors, control systems, operational data stores, maintenance platforms and enterprise systems without creating brittle point-to-point spaghetti. Clear interfaces, event and data contracts, and observable integrations make data usable end to end and keep change safer as vendors, sites and systems evolve.
Modernise critical systems onto cloud and platform foundations with policy as code, observability and security built in. Reduce downtime, improve reliability, and make change safer across integrations, data flows and operational tooling.
Use AI and ML where it delivers real operational value, like safety monitoring, fault prediction, optimisation and planning. Build in evaluation, auditability and human oversight so teams can adopt it safely and defend decisions when it matters.
Design data platforms and pipelines that bring emissions, energy use and efficiency into one view, with traceability and clear measurement boundaries. Make reporting easier and insights practical, so sustainability targets translate into day-to-day operational decisions.
Use AI to accelerate discovery, documentation, engineering and testing, with quality gates and human review built in. It speeds up delivery without compromising safety, reliability or security, and keeps accountability clear when the stakes are high.
How we work with you
We sit on your side of the table: working with operations, engineering and safety teams to turn telemetry into decisions, modernise the systems that run the business, and build edge and cloud platforms that hold up in the field. We bring data, AI and IoT in where it measurably improves safety, uptime, efficiency or sustainability. Always collaborative, measurable, and built for real-world conditions.
Everything is engineered to keep operations safe and reliable while your teams keep improving how work gets done.
Shape the focus
Build with discipline
Evolve and scale
Lift capability
Our people
Shahin Namin
Head of AI Technology
Dan Livolsi
Principal Consultant, Product & Delivery
Zoran Angelovski
Principal Consultant, IoT
Carl Thompson
Lead Consultant, Experience Design
Anthony Vermeulen
Lead Consultant, Experience Design
Tom Wall
Principal Consultant, Experience Design
Babak Fakhim
Lead Consultant, Data, AI and Machine Learning
Ready for tech that holds up in the field?
Whether you’re connecting assets, improving safety and uptime, or scaling edge and cloud platforms, we’ll help you make change safer and operational performance more predictable.