Barcelona’s Delfos Energy raises €3 million to build AI “virtual engineer” for the energy industry as it charges up for Series A

Delfos Energy, a Barcelona-based AI company building “virtual engineer” technology for the energy industry, today announced the close of a €3 million Seed extension round. It has also surpassed 1,000 supported energy sites across Europe.

The round includes new investment from Vox Capital/COPEL. Existing investors also participated, including Headline, Contrarian Ventures, DOMO VC and EDP Ventures. Delfos Energy has now raised a total of €10 million to date.

The Spanish startup states that the Seed extension was raised in response to continued investor demand and will support its ongoing consolidation across Europe. The company expects to pursue a Series A fundraising round within the next 12-18 months to support its next phase of growth.

Guilherme Studart, CEO and co-founder of Delfos Energy, said, “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.”

Founded in 2017 by Guilherme Studart and Samuel Lima, Delfos Energy is an EnergyTech company focused on predictive maintenance solutions and digital transformation, using AI to improve performance in renewable energy generation.

The company develops applied AI solutions for renewable and energy infrastructure operators, assisting them in managing assets more efficiently, reliably, and at scale. Its platform functions as a constantly operating virtual engineer, ingesting operational data in real time, detecting abnormal behaviour and early-stage failures, interpreting complex signals in context, and converting them into prioritised, actionable recommendations for engineering, operations, and executive teams.

According to the company, rather than simply surfacing data or triggering alerts, it is designed to solve an execution and decision-making problem. 

Unlike traditional monitoring and analytics tools that stop at dashboards, alarms or generic anomaly flags, Delfos Energy claims to replicate the work of an experienced performance engineer. The platform detects and interprets operational signals, provides context and prioritisation across sites and assets, suggests recommended actions, and helps teams move from “something looks off” to “here’s the likely cause and the best next step” faster. 

The company also offers natural-language interfaces, like WhatsApp, allowing teams to query complex operational data using plain language, thereby reducing the adoption barrier across organisations.

Delfos Energy’s platform is built as a two-layer AI system for energy operations. At its core is a proprietary machine-learning engine that performs continuous performance and reliability analysis in real time, identifying abnormal patterns, early-stage failures and efficiency losses across energy systems.

On top of this, the company is expanding a second AI layer focused on automating engineering workflows. This includes generating reports, supporting maintenance planning, and turning insights into operational decisions across asset types, particularly as the energy transition introduces new technologies such as energy storage alongside existing infrastructure.

Delfos Energy claims that it has created an AI system designed specifically for energy operations and not a generic AI interface adapted to the sector. It has managed to do so by combining open-source large language models with its proprietary guardrails, domain logic and operational data

Over time, Delfos Energy anticipates this workflow layer developing into agents capable of performing specified engineering tasks, enabling lean teams to manage larger, more complex asset portfolios.

With this capital, the company plans to consolidate its AI Suite, deepening deployments across key energy transition markets, and continue expanding into adjacent energy transition verticals, including energy storage. 

It also expects to enter the US market once it reaches sufficient scale and maturity in Europe. Delfos Energy is consolidating its presence across Europe, where it now supports more than 1,000 energy sites in over 10 countries. Europe is expected to make up 35–40% of Delfos’s global revenues this year, with the company’s existing European customer base projected to generate over 4–5 times revenue growth as deployments expand across multi-site operators.

In 2024, the company announced its €6.3 million Seed round, led by Contrarian Ventures and Headline.

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