ENERGY. UTILITIES.
Powering a Smarter, More Resilient Energy Future
Energy and utility organisations operate within increasingly complex, connected and demanding environments. We bring together fragmented operational, customer and market data to create trusted intelligence across the business. Stronger visibility enables better planning, more efficient asset utilisation and faster decisions, helping organisations improve performance while adapting to changing demand, regulation and sustainability priorities.
AI and advanced analytics help transform uncertainty into informed action. From anticipating consumption and equipment needs to strengthening customer service and operational resilience, we enable organisations to respond proactively. Intelligent automation further reduces manual effort and accelerates critical processes, creating more efficient, reliable and adaptable operations prepared for the future of energy.
DATA-DRIVEN. DECISIONS.
The Decisions Data Should Improve
Energy organisations make critical decisions across demand, infrastructure, customers and regulation. By connecting operational, asset, market and consumption data, we create the intelligence needed to anticipate change, allocate resources effectively and improve performance across an increasingly complex energy ecosystem.
Growth and Commercial Performance
Analyse demand, consumption, pricing and customer behaviour to identify emerging opportunities, evaluate new services and direct investment towards the markets, products and infrastructure with the greatest potential for sustainable returns.
Customer Experience
Create a connected understanding of each customer across consumption, billing, service interactions and outages. Timely intelligence enables clearer communication, more relevant services and faster resolution when customers need support.
Operational Excellence
Combine asset, network, workforce and demand data to improve capacity planning, maintenance and field operations. Forecasting and real-time monitoring help reduce inefficiency, prevent disruption and maximise infrastructure performance.
Risk, Compliance and Resilience
Detect unusual consumption, equipment deterioration and emerging operational threats earlier. Trusted data and automated monitoring strengthen regulatory reporting, infrastructure resilience and the ability to respond confidently to disruption.
KPI. SIGNAL. MONITOR.
The Signals That Matter
Energy and utility performance depends on balancing demand, infrastructure, cost and service reliability. Monitoring the right indicators gives organisations a connected view of network performance, asset health and customer outcomes, helping them anticipate pressure, direct investment and maintain resilient operations.
Demand Forecast Accuracy
Measures how closely predicted consumption matches actual demand. Greater accuracy improves generation and capacity planning, resource allocation and purchasing decisions while reducing the cost and risk associated with unexpected peaks or shortfalls.
Service Reliability: SAIDI & SAIFI
SAIDI measures the average duration of interruptions, while SAIFI measures how frequently customers experience them. Together, they provide a critical view of network reliability, service continuity and the effectiveness of maintenance and restoration activities.
Asset Availability
Shows the proportion of time that generation, distribution and operational assets are available for use. Monitoring availability helps identify underperforming infrastructure, improve maintenance planning and protect essential capacity.
Network and Technical Losses
Measures the energy lost during transmission and distribution. Analysing where and why these losses occur helps organisations identify inefficiencies, detect anomalies and improve the overall economic and environmental performance of the network.
Cost to Serve
Calculates the operational cost of delivering energy or utility services to different customers, regions or segments. It helps reveal inefficiencies and supports better pricing, service and investment decisions.
Customer Satisfaction
Tracks how customers perceive reliability, billing, communication and service resolution. Combining satisfaction with operational information helps identify the experiences that most strongly influence trust, loyalty and regulatory performance.
AI. ACTION. IMPACT.
Where AI Creates Impact
AI can help energy and utility organisations transform complex asset, network, consumption and environmental data into faster, more confident action. From anticipating demand to detecting equipment failure, intelligent solutions can improve reliability, control costs and support the transition towards more flexible and sustainable energy systems.
Predict Demand and Renewable Generation
AI-powered forecasting can anticipate energy demand, renewable production and market conditions with greater accuracy. Better predictions support capacity planning, energy purchasing, storage management and grid balancing—reducing operational uncertainty, avoiding unnecessary costs and improving the integration of variable renewable resources.
Detect Failures, Losses and Anomalies
Machine learning can continuously analyse sensor, meter and network data to identify equipment deterioration, leaks, technical losses and unusual consumption patterns. Earlier detection enables faster intervention, reduces unplanned downtime and helps protect critical infrastructure, revenue and service continuity.
Optimise Networks, Assets and Field Operations
AI can optimise maintenance schedules, energy distribution, storage, flexible loads and the deployment of field teams. By coordinating decisions across assets and operations, organisations can increase efficiency, extend asset life and deliver a more reliable service with fewer resources.
Automate Operational and Customer Response
Intelligent workflows can turn alerts into work orders, recommend corrective actions and automate routine customer communications. This reduces manual coordination, accelerates incident response and allows technical teams to focus their expertise on the most complex and business-critical situations.