Industry Solutions/Energy & Utilities solutions

Energy & Utilities solutions

Amp up your operations with intelligent infrastructure

Theenergyandutilitiessectorisjugglingmorethanever-skyrocketingdemand,net-zerotargets,ageinginfrastructure,affordabilityconcerns,andnowtheAIrevolutionknockingatthedoor.

It's not just about keeping the lights on anymore; it’s about lighting the way forward with smarter, cleaner, and more connected solutions.

With every challenge showing up at once, there’s no luxury in picking one priority at a time. That’s where the right tech partner makes all the difference. Whether it’s predictive maintenance powered by data, cloud platforms that flex with demand, or systems built to weather regulatory curveballs, digital transformation in energy and utilities isn’t optional - it’s essential.

Why choose Nasstar?

At Nasstar, we know energy and utilities providers are balancing decarbonisation goals, ageing infrastructure, regulatory demands, and rising customer expectations. So, we make IT simple, letting you focus on keeping energy flowing, grids stable, and operations future-ready.

From modernising legacy systems to enabling sustainable energy solutions and utilising AI and automation for greater efficiencies, we tailor our tech to meet your operational goals.

Whether it’s routine maintenance or urgent system updates, our next-generation managed IT services keep your infrastructure running smoothly so your teams can focus on reliability, not rebooting.

We offer intuitive tools, hands-on training, and expert-led change management to get your teams engaged and up to speed - fast.

In energy, uptime isn’t a nice-to-have, it’s non-negotiable. Our secure, always-on solutions help protect your operations from outages, cyber threats, and compliance risks.

From predictive maintenance and asset monitoring to real-time data analytics, we help energy and utility providers optimise performance, reduce waste, and stay agile.

EnergyandUtilitiescompanieshaveapublicobligationtobeefficient,reliableandsustainable.

Nasstar provides foundational solutions for secure and reliable operational technology and industrial IoT. In combination with our experience in delivering digital transformation for predictive maintenance and AI generated data insights we offer a partnership in this sector that drives and delivers business value in an agile way.

Lucy DoughertySales Manager, Nasstar
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FAQs

01

Digital transformation in energy and utilities companies can help you overcome challenges such as customer demands, environmental regulations, market competition, and operational efficiency. Nasstar provides end-to-end IT solutions that use innovative technologies such as cloud, AI & automation, and cyber security.

Nasstar's IT solutions can help energy and utilities with digital transformation by:

- Forecasting and optimising energy demand with AI-powered analytics and machine learning.

- Improving operational performance and asset management with IoT-enabled devices and sensors.

- Streamlining back-office procsses and workflows with automation and RPA tools.

- Securing data and systems against cyber threats and breaches with proactive security solutions.

- Empowering employees and customers with cloud-based platforms and applications.

02

System interoperability is often a barrier to success when dealing with energy and utility infrastructure. That’s why we created our Unified Data Platform offering which is built to ingest data from multiple different systems and sources. The platform then normalises the data and makes it available to machine learning algorithms for prediction and anomaly detection, whilst also creating valuable actionable insights.

03

We understand that the main priority for energy and utility companies is uninterrupted production, and we can support this goal with strategic, technological advice. To first meet your objectives, we recommend that organisations work with an established, trusted partner to accelerate the adoption of appropriate technology, allowing you to focus on delivering the supply of the utility to consumers.

04

Improving energy usage has become highly important in a world with growing energy needs and a subsequent increase in energy costs. AI has been widely accepted as a method for implementing sustainable energy solutions and reducing global energy consumption.

AI can contribute to energy demand forecasting by processing and analysing historical energy consumption data, weather patterns, economic indicators and other relevant factors more quickly and efficiently. By using machine learning, better predictions can be made. This means that energy forecasting models can improve their ability to predict future outcomes.

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