Barcelona-based energy AI company Delfos Energy announced that it has raised a €3 million seed extension round as the company surpasses 1,000 supported energy sites across Europe. The new funding brings the company’s total capital raised to €10 million and will support the continued expansion of its AI-powered “virtual engineer” platform for renewable energy infrastructure operators.
The investment includes new backing from Vox Capital/COPEL, while existing investors Headline, Contrarian Ventures, DOMO VC, and EDP Ventures also participated. According to the company, the round reflects growing investor demand for AI technologies designed specifically for the energy sector.
Founded in 2017, Delfos Energy develops applied artificial intelligence tools aimed at improving reliability, performance, and operational efficiency for renewable energy and energy infrastructure assets. The company’s platform continuously analyzes operational data in real time, identifying abnormal behavior, detecting early-stage failures, and translating complex signals into prioritized, actionable recommendations for engineering and operations teams.
Unlike traditional monitoring tools that focus on dashboards and alerts, Delfos’ system is designed to replicate the workflow of an experienced performance engineer. The platform interprets operational signals across distributed energy assets, provides context and prioritization across sites, and recommends what actions to take, when to take them, and why.
The company also provides natural-language interfaces, including integrations with messaging platforms such as WhatsApp, allowing teams to query complex operational data using plain language. The goal is to reduce friction across organizations while helping operators move faster from identifying issues to resolving them.
Delfos said it now supports more than 1,000 energy sites across more than 10 European countries, reflecting expanding adoption among independent power producers and utility operators. Europe is expected to represent roughly 35–40 percent of the company’s global revenue this year, with existing European customers projected to drive more than 4–5x revenue growth as deployments expand across multi-site energy portfolios.
The platform itself is built on a two-layer AI architecture. At its core is a proprietary machine learning engine designed to analyze energy system performance and reliability in real time, identifying abnormal patterns, efficiency losses, and early-stage failures. On top of this engine, the company is developing a workflow automation layer designed to support engineering tasks such as generating reports, planning maintenance, and translating insights into operational decisions.
Delfos said the system combines open-source large language models with proprietary guardrails, domain-specific logic, and operational data, creating an AI system tailored specifically to the needs of energy infrastructure operations.
The company said the new funding will be used to consolidate its AI suite across European energy transition markets and expand into adjacent verticals such as energy storage. Delfos expects to pursue a Series A funding round within the next 12 to 18 months as it scales further across Europe.
Over the longer term, the company expects the United States to represent its next major market once it reaches sufficient scale in Europe.
KEY QUOTE:
“The energy transition will only succeed if existing infrastructure runs far more efficiently and reliably than it does today. Delfos Energy uses AI to capture and scale the knowledge of experienced engineers – translating complex operational signals into clear priorities and actions at a time when expertise is being lost. This funding allows us to consolidate our presence and continue building AI that is purpose-built for real-world energy operations.”
Guilherme Studart — CEO And Co-Founder, Delfos Energy
