Skip to content
Industry

Energy & Resources

Distributed assets, high-volume sensor data, and operational decisions that depend on both being current.

Energy and resources operations generate more data than most sectors and can rely on connectivity less than most sectors. Those two facts together define the engineering problem.

We build here on the assumption that the network will fail, the sensor will drift, and the field team will need to work anyway. The data reconciles cleanly once conditions allow.

Typical challenges

  • Telemetry arriving faster than existing systems can usefully process
  • Field assets spread across sites with unreliable connectivity
  • Maintenance planned on fixed intervals rather than on asset condition
  • Operational and financial views of the same asset that never quite agree

How we help

  • Build ingestion sized for the real data volume, with buffering for intermittent links
  • Support offline-capable field tooling that reconciles when connectivity returns
  • Model asset condition so maintenance can be planned against it
  • Bring operational and financial data into one model with agreed definitions

Other industries

View all
Industrial machinery and pipework inside a factory

Manufacturing & Industrial

Production data trapped on the floor, maintenance planned by memory, and quality records that only exist on paper.

Tall blue racking filled with cartons in a warehouse

Logistics & Supply Chain

Shipment status assembled by phone call, warehouse systems that do not talk to transport, and exceptions found too late.

A blue glass office tower seen from below

Financial Services

Regulatory reporting assembled by hand, legacy core systems, and a security posture that has to be demonstrable.

Get started

Let's talk about what you are trying to build

Tell us the problem you are stuck on. We will come back with how we would tackle it.

Talk to usEmail us