Trusted by innovative organizations since 2015.
Context
The challenges of your industry
Operational data is everywhere, but decisions are still reactive
Smart meters, SCADA systems, IoT sensors, trading platforms: energy and utilities companies generate extraordinary volumes of operational data. Yet most organizations are still making maintenance, capacity, and procurement decisions reactively, without AI models that can turn that data into forward-looking signals.
The energy transition is multiplying complexity faster than teams can handle it
Integrating renewables, managing distributed energy resources, balancing grid stability, tracking ESG commitments: the strategic and operational complexity of the sector is growing faster than traditional reporting and planning tools can accommodate. Manual processes and static dashboards are no longer enough.
Customer expectations are rising while margins stay tight
Energy suppliers face churn pressure, rising service expectations, and a growing need to personalize offerings in a historically commoditized market. Most lack the customer intelligence and AI-driven segmentation tools to act on the data they already have.
Solutions
The solutions we offer
AI-powered demand forecasting and operational planning
We build machine learning models that forecast energy demand, production variability, and procurement needs with greater accuracy than rule-based systems. Better forecasts mean smarter procurement, fewer imbalances, and planning teams that act on evidence instead of estimates.
Asset performance and predictive maintenance analytics
We connect your operational and sensor data to build AI models that identify equipment degradation patterns before failures occur. Less unplanned downtime, better capital allocation, and maintenance teams focused where the risk actually is.
Customer intelligence and churn analytics
We help energy suppliers build a data-driven view of their customer base: who is at risk of churning, which segments respond to which offers, and how to allocate retention and acquisition budgets more effectively. AI models trained on your data, not generic industry benchmarks.
Where we create value
Six capabilities.
One goal : measurable impact.
From strategy to execution, Agilytic covers the full spectrum of data & AI work — so you're never left to stitch together different partners at each stage.
How we work
1. Start from your business objectives
We don't begin with data or technology. We begin with what you're trying to achieve — reduced churn, faster decisions, better risk pricing — and work backwards from there.
2. Assess your data reality honestly
We tell you what's actually usable, what needs to be fixed, and what you can realistically achieve in 3, 6, and 12 months. No inflated promises.
3. Build what gets used, not what looks impressive
Our team works at the intersection of technical rigour and business pragmatism. We build solutions that your teams will actually adopt and run.
Case studies
A few client success stories
Marketing Mix Modeling in utilities
Discover how a leading energy provider leveraged Marketing Mix Modeling with Meta's Robyn to optimize media spending across channels.
Boosting commercial initiatives with an automated prospecting tool in utilities
In just a few days, we scraped and analyzed available roofing data for companies found on the solar map to deliver valuable commercial insights.
Modern reporting for a complex field services project
See how this technical services provider benefits from an automated data model and preliminary BI reporting for their projects.
