Grid-scale analytics and security for utilities under load and under scrutiny.
Utilities are asked to add renewables, keep the lights on, and prove their control systems are secure, often from the same aging data estate. We connect grid, asset, and market data, and secure the operational technology it runs on.
Problems we solve in energy
The questions energy teams bring us, what is usually behind them, and what we do about it.
“Which assets will fail before the next storm season?”
The problemMaintenance runs on fixed cycles, so healthy equipment gets serviced while failing equipment waits its turn.
How we solve itPredictive maintenance models on sensor telemetry and inspection history, ranked by consequence of failure and fed into work planning.
“How much solar and wind will we actually get tomorrow?”
The problemForecast error on renewables shows up as reserve costs, curtailment, and storage dispatched at the wrong time.
How we solve itSolar, wind, and storage forecasting tuned to your own sites, with forecast accuracy tracked every day.
“Could we pass a NERC CIP audit tomorrow?”
The problemOT and IT have converged faster than the controls around them, and audit evidence is still assembled by hand.
How we solve itSCADA and ICS security assessment, OT and IT segmentation, incident response planning, and compliance evidence collected as you go.
“Where is demand heading, and who will respond?”
The problemLoad growth, EVs, and distributed resources make last year’s demand patterns a poor guide to next year’s.
How we solve itUsage segmentation, demand forecasting, and demand response targeting built from your meter data.
Each of those answers depends on data someone can trust. Here is how we make it trustworthy in energy.
Governed from the first pipeline
Data engineering, analytics, and AI built in order, on governance designed for this sector’s rules rather than retrofitted to them.
Data governance in energy
Grid data is critical infrastructure data. It is treated that way from the first pipeline.
- Operational data kept inside the perimeter NERC CIP defines, with every access logged.
- Meter and customer data classified and minimized before it reaches analytics.
- Every forecast and model versioned, so a decision can be traced to the model that informed it.
- NERC CIP
- NIST Cybersecurity Framework
- IEC 62443
- State privacy law
The method is the same everywhere. The gates are what keep it honest.
Phase by phase, starting small
Each gate is agreed before its phase begins, so nothing scales on optimism.
Assess
Inventory the data and systems, and pick the one problem worth solving first.
Gate: First problem and success measure agreedPilot
Solve it end to end at limited scope, measured against the threshold set in Assess.
Gate: Threshold met, or pilot stoppedDeploy
Roll out with training and handover, inside your security perimeter.
Gate: Your team running itExtend
Add the next problem on the same data foundation and governance.
Gate: Ongoing
A good first pilot
Predictive maintenance for one asset class, such as distribution transformers, in one service territory.
Go deeper
Everything we do in energy
Grid & operations
- Grid load balancing
- Predictive maintenance for infrastructure
- Real-time monitoring and control systems
- Energy efficiency analytics
- Distributed energy resource management
Renewables & markets
- Solar and wind forecasting models
- Energy storage dispatch
- Carbon footprint tracking
- Sustainability reporting
- Clean energy investment analysis
- Energy price forecasting and trading analytics
- Market risk analysis and compliance monitoring
Security & compliance
- Critical infrastructure protection
- SCADA and ICS security
- OT and IT convergence security
- Incident response planning
- Regulatory compliance (NERC CIP)
Customers & assets
- Asset performance management
- Supply chain analytics
- Safety analytics and reporting
- Workforce management
- Usage pattern analysis and segmentation
- Demand response and billing analytics
Tell us which asset or audit worries you most.
We will look at the data you already hold and tell you plainly what it can support.
Other industries
- Public SectorEvidence for policy decisions, and services residents can actually reach.
- TransportationMoving people and freight with forecasting that holds up operationally.
- HealthcareClinical and operational analytics that respect the compliance perimeter.
- Financial ServicesRisk, reporting, and controls that survive an audit.
- RetailDemand, inventory, and customer signals joined into one view.