The technology foundations of the energy industry are changing faster than many incumbents can react. We help clients stay ahead of it.
High-availability cloud computing, AI, software-defined automation, and converging OT/IT environments are no longer emerging trends in energy — they are operational realities. The standards landscape has expanded to encompass IEC 62443, IEC 62351, ISO 27001, NIS, NERC CIP, and beyond. Data spaces and semantic interoperability frameworks are redefining how grid operators and asset managers work with information.For energy companies navigating this complexity, the risk isn't just falling behind technically — it's making the wrong foundational choices early and building on them for decades.We deliver state-of-the-art software capabilities from chip to cloud, helping clients make the right choices and execute on them with confidence.
What we deliver
AI & Machine Learning
Design and deployment of AI and ML-driven applications for energy — including predictive maintenance, demand forecasting, anomaly detection, and operational optimization. Full ML Ops capability for sustainable model deployment and management at scale.
Hybrid Cloud & Microservices
Architecture and development of cloud-native and hybrid cloud solutions built for the high-availability and performance requirements of energy infrastructure — using microservices patterns that enable flexibility, scalability, and resilience.
Software-Defined Automation
Solutions leveraging real-time virtualized CPUs and software-defined approaches to replace proprietary automation hardware — bringing flexibility, upgradeability, and cybersecurity into OT environments.
Cybersecurity
End-to-end cybersecurity for converged OT/IT energy environments — aligned with IEC 62443, IEC 62351, ISO 27001, NERC CIP, NIS, and GDPR. From secure development lifecycles to penetration testing and ongoing security management.
Data Spaces & Semantic Interoperability
Solutions built around open data standards including CIM and IEC 61850 — enabling energy organizations to participate in emerging data spaces, share information across the value chain, and unlock the full potential of their operational data.
Digital Twins & Simulation
Development of digital twin platforms and simulation environments for energy systems — supporting design validation, operational planning, training, and continuous performance improvement.
QA, V&V & CI/CD
Cross-cutting quality assurance, verification and validation, and continuous integration and delivery capabilities — ensuring that advanced computing solutions are delivered reliably, at pace, and to the standards the energy industry demands.