We pair 45+ years of energy + resources engineering with production-grade AI — physics-based digital twins, predictive diagnostics, AI-accelerated simulation and an EU-hosted GenAI platform. Not a pure-AI vendor, not a pure-energy consultancy: domain + AI, delivered together.
AI only creates value when it delivers measurable engineering outcomes. Across energy and industrial projects, FEV combines domain expertise and AI to improve speed, quality and efficiency.
Most AI vendors don’t understand batteries, fuel cells, heat grids or grid codes. Most energy consultancies can’t build and deploy AI. FEV does both — and our AI solutions are proven in our own daily engineering across storage, hydrogen, power generation and infrastructure.
That means AI that speaks your domain: predictive maintenance tuned to real battery aging, simulation that respects physics, and assistants that know energy regulation.
AI only creates value when it understands real engineering processes. With over 45 years of engineering expertise, FEV combines AI with deep domain know-how.
Most companies struggle with isolated AI experiments. FEV helps transfer promising AI use cases into scalable solutions embedded in engineering workflows.
Our human-in-the-loop approach combines AI efficiency with engineering oversight, ensuring quality, traceability and compliance.
Our focus is not AI adoption. Our focus is faster development, lower engineering costs and improved product quality.
Keep assets healthy and squeeze more life out of every battery, cell and rotating machine.
Compress development cycles with AI that accelerates high-fidelity simulation without abandoning physics.
A data-sovereign platform to build, deploy and govern AI — from the cloud to the edge.
Packaged AI aimed at energy and public-sector clients — ready to deploy in your environment.
An AI agent that helps European cities and municipalities turn climate targets into fundable action. It combines ESA/Copernicus satellite data with a knowledge graph to pinpoint heat-risk hotspots and green-transformation measures — then drafts the documentation needed to secure funding.
From battery storage and electrolyzers to data centers and municipal infrastructure, FEV combines engineering expertise, digital twins and AI to optimize complex energy ecosystems.
Predictive maintenance, diagnostics and performance optimization across complex energy infrastructure.
Battery energy storage optimization, degradation analysis and intelligent operation strategies.
Engineering support, system optimization, degradation prediction and lifecycle management.
Digital twins, simulation, predictive control and data center energy optimization through VYNOX.
Requirements, testing, compliance and engineering automation.
AI-powered funding discovery and decision support for municipalities and infrastructure owners.
Vynox is FEV’s digital twin and energy optimization platform for data centers. By combining simulation and model predictive control, it optimizes the interaction between power, cooling, energy storage and IT loads to improve efficiency, reduce PUE and energy costs, and maximize available IT capacity.
Vynox can be used for Data Centers, BESS, Electrolyzers, Multi-energy systems, industrial energy infrastructure and many more.
AI for Energy Engineering uses artificial intelligence to automate engineering tasks, analyze technical data, support decision-making, and accelerate the development of energy systems such as electrolyzers, hydrogen infrastructure, batteries, renewable energy assets, and energy management solutions.
FEV combines engineering expertise with AI technologies to improve efficiency, quality, and speed across the energy value chain. Typical applications include engineering copilots, document intelligence, requirements analysis, knowledge assistants, predictive analytics, and process automation.
Key benefits include:
FEV has demonstrated significant efficiency gains in multiple AI-enabled engineering use cases.
AI can automate repetitive activities such as:
This allows engineers to focus on higher-value technical activities.
No. FEV follows a Human-in-the-Loop approach where AI assists experts rather than replacing them. Engineers remain responsible for validation, approval, and critical decisions.
FEV combines:
to ensure reliable AI deployment.
AI can support:
Tell us the asset, the target or the regulation — we’ll bring the domain expertise and the AI to match.
