Powering the Future of Energy
Aelius Venture delivers intelligent software solutions that modernize and secure the energy and utilities sector for a sustainable future.
Request a ConsultationOur Energy & Utilities Solutions
From generation to distribution, we build the digital backbone for a more efficient, resilient, and sustainable energy grid.
Developing platforms to monitor, control, and optimize energy distribution networks, enhancing grid reliability and efficiency.
Creating software for forecasting, monitoring, and managing renewable energy assets like wind farms and solar installations.
Using AI and machine learning to predict equipment failures in power plants and substations, reducing downtime and maintenance costs.
Implementing robust cybersecurity solutions to protect energy infrastructure from cyber threats and ensure operational continuity.
Why Aelius Venture for Energy & Utilities?
In an industry undergoing massive transformation, you need a partner who can bridge the gap between legacy systems and future-ready technology.
Critical Infrastructure Reliability
We understand the mission-critical nature of the energy sector. Our software is built for high availability, resilience, and security.
Regulatory and Compliance Expertise
Our team is experienced in navigating the complex regulatory landscape of the energy industry, ensuring your solutions meet all compliance standards.
Advanced Data Analytics
We leverage data analytics and AI to help you optimize asset performance, improve forecasting, and make smarter operational decisions.
Focus on Safety and Security
Safety and cybersecurity are at the core of our development process, protecting your assets, personnel, and the public.
Proven Impact in the Field
See how we've helped energy providers innovate and optimize.
The Challenge
A major renewable energy provider needed to reduce operational costs and increase the energy output of its wind farms by minimizing turbine downtime.
Our Solution
Aelius Venture developed an AI-driven predictive maintenance platform that analyzes sensor data from wind turbines in real-time. The system predicts component failures weeks in advance, allowing for planned maintenance and optimized performance.
The Outcome
The platform reduced unplanned downtime by 50% and increased annual energy production by 5%, resulting in millions of dollars in increased revenue and cost savings.