Europe’s energy shift needs efficient infrastructure as many engineers retire and portfolios grow more complex with wind, solar, and storage. Traditional monitoring tools offer dashboards and alerts, but don’t prioritise or explain what to do, leaving operators reactive and short-staffed.
Delfos Energy’s AI platform serves as a “virtual engineer” by ingesting real-time data, detecting anomalies and early failures, interpreting signals with domain context, and delivering prioritised actions that explain what to do, when, and why. It scales expert knowledge across distributed fleets through natural-language interfaces like WhatsApp.
The €3M seed extension, from Vox Capital and COPEL alongside previous investors Headline, Contrarian Ventures, DOMO VC, and EDP Ventures, supports European consolidation ahead of a Series A round in 12 to 18 months.
Europe already accounts for 35-40% of Delfos’ revenue, and customers are betting on 4-5x growth as the platform rolls out to over 1,000 sites across 10+ countries.
Building the “intelligence layer” for Europe’s energy transition
Founded in 2017 in Barcelona by Guilherme Studart and Samuel Lima, Delfos combines AI/ML expertise with energy domain knowledge and began with hands-on experience applying ML to energy systems.
For Delfos CEO Guilherme Studart, the spark for the company came more than a decade ago: “I think the spark came when I was living in Norway on the last month of my master’s degree, and I saw a big presentation from a senior person in one of the major Norwegian utilities. He showed regions in the world where there would be a big renewable energy expansion, especially on wind and more essentially on solar.”
That presentation pushed him away from a traditional career path and into entrepreneurship: “That gave me the spark, instead of going out and looking for a job, to ask: why don’t I create something to address those needs and all that is going to come with it? I just wanted to do something within the renewable space.”
Under the hood, Delfos combines its own machine learning engine (for real-time performance and reliability) with a workflow AI layer that handles everything from reports and maintenance planning to answering your questions in plain language.
“You need to manage these assets, you need to understand what’s going on. How do you measure efficiency? How do you measure availability? How can you prevent a certain failure? How can you implement the best maintenance practices? These are day-to-day activities going on all across the globe—and they’re all built on the back of engineer minds. Our virtual engineer is there to streamline that job,” explains Studart in a conversation with TFN.
What sets Delfos apart is how it goes way beyond dashboards and alerts. The platform recommends what to do next, using energy-specific rules and logic (not just generic AI), and supports massive, distributed fleets with interfaces anyone can use.
While others like UptimeAI or Sensemore focus on manufacturing, or Avnet Silica and Orbital Insight stick to hardware or satellite data, Delfos is laser-focused on the energy sector. It provides real-world context on renewables and utilities, helping teams make decisions.
What’s next?
With this new funding, Delfos is set to ramp up its AI Suite across Europe, roll out to even more sites, and dive into energy storage. Series A is coming up, and after that, the US is firmly on their radar.
Studart concludes, “One [priority] is obviously continuing the market expansion here in Europe and our footprint across the main regions. In terms of technology, we are increasing the investment in two major fronts. One is battery energy storage: the BESS systems and monitoring and deepening our capabilities there, because this is going to be one of the major bottlenecks and main pain points of the industry.”
“The second one is improving our AI layer, the virtual engineer assistant, to be able to provide more and more automated workflows and skills to the users and the companies that are looking for really specific AI applications in the energy industry,” Studart adds.
In the long term, Delfos aims to turn its workflow layer into autonomous agents capable of handling engineering tasks, becoming the backbone for tomorrow’s energy operators.
