Energy & Utilities
Grid and field systems for a more volatile network.
Smart metering, grid analytics, and field operations platforms for utilities managing distributed generation, ageing assets, and rising customer expectations at once.
9
Utilities served
1.2M
Meters managed
34%
Fewer truck rolls
99.98%
Data completeness
The pressure
What energy & utilities teams are actually dealing with
A network designed for one-way flow
Distributed generation and storage on infrastructure built to move power in a single direction, monitored by systems that assume it still does.
Meter data at a volume nothing was sized for
Interval reads from millions of endpoints arriving faster than the settlement and billing systems were designed to absorb.
Assets whose condition is unknown
Maintenance planned on age and schedule because there is no reliable condition data, producing both premature replacement and unexpected failure.
Field crews working from paper
Job packs printed in the depot, updated by phone, and re-keyed on return — with the network model out of date the whole time.
What we build
What we build for utilities
Systems that hold up in the field, on a poor connection, in weather, operated with gloves on.
Smart grid analytics
Load, voltage, and power quality analysis across the low-voltage network, surfacing constraint before it becomes an outage.
- LV network visibility
- Constraint forecasting
- Power quality analysis
Meter data management
Validation, estimation, and editing at interval-read volumes, with the completeness and auditability settlement requires.
- VEE processing
- Settlement-grade audit
- Exception workflow
Asset management
Condition-based maintenance driven by sensor and inspection data, with risk-scored intervention planning.
- Condition scoring
- Risk-based planning
- Failure prediction
Field operations
Mobile job management that works offline, syncs when it can, and updates the network model from the field rather than days later.
- Offline-first mobile
- Live network updates
- Automated scheduling
Distributed energy
Integration of solar, storage, and flexibility services into forecasting and dispatch rather than treating them as noise.
- DER registration
- Flexibility dispatch
- Forecast integration
Customer platforms
Billing transparency, usage insight, and outage communication that reduces call volume by answering the question first.
- Usage transparency
- Proactive outage comms
- Tariff comparison
Compliance
The regulatory surface we build against
Controls are designed into the architecture and evidenced in the pipeline, so an audit is a report rather than a project.
Outcomes
What these engagements produced
Representative results from engagements in this sector.
- 01
Distribution operator
Truck rolls reduced by a third
Remote diagnostics from meter and sensor data resolved a third of jobs that previously required a site visit to diagnose.
- 02
Retail supplier
Settlement data completeness at 99.98%
Rebuilt the validation and estimation pipeline to handle interval volumes, removing a recurring settlement exception backlog.
- 03
Water utility
Leak detection window cut from weeks to days
District metering analytics with anomaly detection flagged losses early enough to schedule repair rather than respond to failure.
How we deliver here
Three things that make energy and utilities delivery different
Existing telemetry
You are almost certainly collecting more than you use
Most utilities have years of SCADA and meter data nobody has modelled. Starting there is faster and far cheaper than a sensor programme, and it tells you whether the analytics case is real before you spend capital on hardware.
- Existing historian and meter data profiled first
- Value proven on current telemetry before new sensors
- Data quality assessed honestly, including the gaps
- Sensor investment justified by a demonstrated gap
Critical infrastructure
Assurance obligations shape the connection, not just the contract
Critical national infrastructure rules and IEC 62443 constrain how operational networks connect to anything else. Remote access for a vendor is a controlled, brokered, recorded path rather than a VPN credential.
- Zones and conduits designed to IEC 62443
- Vendor access brokered, time-boxed and recorded
- Supplier assurance evidence produced, not asserted
- Data egress one-way where the risk case requires it
Asset lifetimes
The equipment outlives several generations of software
A substation asset may run for thirty years. Software built against a specific protocol version or a single vendor's cloud will be replaced five times in that period, so the integration layer matters more than the application.
- Protocol adapters isolated behind a stable interface
- Vendor-neutral data model for asset telemetry
- No control decision dependent on a cloud round trip
- Documented path to replace any single component
Where to start
Four analytics starting points, cheapest first
Ordered by how quickly they produce evidence. Most utilities can answer the first two from data they already hold.
| Starting point | Data needed | Time to evidence | Capital required |
|---|---|---|---|
| Historian data reviewStart here | Existing SCADA history | 3–4 weeks | None |
| Meter data analytics | AMI or smart-meter reads | 6–8 weeks | None |
| Condition-based maintenance | Asset telemetry plus maintenance history | One to two quarters | Low — targeted sensors |
| Network-wide sensing | New instrumentation across the estate | A year or more | Significant |
Historian data review
Start here- Data needed
- Existing SCADA history
- Time to evidence
- 3–4 weeks
- Capital required
- None
Meter data analytics
- Data needed
- AMI or smart-meter reads
- Time to evidence
- 6–8 weeks
- Capital required
- None
Condition-based maintenance
- Data needed
- Asset telemetry plus maintenance history
- Time to evidence
- One to two quarters
- Capital required
- Low — targeted sensors
Network-wide sensing
- Data needed
- New instrumentation across the estate
- Time to evidence
- A year or more
- Capital required
- Significant
Questions
What energy and utilities clients ask first
Security of the OT boundary, and whether the data is good enough.
Security and data
Will you connect anything to our operational network?
Only through a designed, assured boundary and only where the risk case supports it. Our default is a one-way data path outward from the operational side, with no control capability crossing inward. Where two-way integration is genuinely required it goes through your own assurance process with the OT vendor involved.
Our historical data is patchy. Is it still usable?
Usually yes, and establishing how patchy is itself a useful output. A data review reports coverage, gaps and quality honestly, including the cases where a claimed analytics benefit is not supportable from what you hold. That is a cheaper way to find out than commissioning the model first.
Can this work without new sensors?
Very often. The first two starting points in the table above need no new hardware at all, and in our experience they answer most of the questions a utility opens with. New instrumentation is justified when the review shows a specific gap, not as an opening assumption.
Working in a different sector?
The engineering practice is the same across every vertical we serve. Browse the full list, or tell us what you are dealing with.
All industriesStart where the data already exists.
Most utilities are collecting more than they use. We will show you what your current telemetry can already tell you.