Funding

Delfos Energy Raises €3M To Expand AI “Virtual Engineer” For Energy Infrastructure

Mar 13, 2026 | By Kailee Rainse

Delfos Energy, an AI company developing “virtual engineer” technology for the energy sector, announced it now supports over 1,000 energy sites across Europe and has closed a €3 million Seed extension round.

SUMMARY

  • Delfos Energy, an AI company developing “virtual engineer” technology for the energy sector, announced it now supports over 1,000 energy sites across Europe and has closed a €3 million Seed extension round.

The round includes new investment from Vox Capital/COPEL, with participation from existing investors Headline, Contrarian Ventures, DOMO VC, and EDP Ventures, bringing the company’s total funding to €10 million.

Founded in 2017, Delfos Energy builds applied AI for renewable and energy infrastructure operators, helping them manage assets more efficiently, reliably, and at scale.

Its platform functions as a continuously operating virtual engineer, ingesting real-time operational data, detecting abnormal behavior and early-stage failures, interpreting complex signals in context and generating prioritized, actionable recommendations for engineering, operations, and executive teams.

Unlike traditional monitoring tools that rely on dashboards or generic anomaly flags, Delfos Energy replicates the work of an experienced performance engineer, guiding teams on what matters most, why it matters and the next steps to take even across large, distributed fleets.

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The platform also features natural-language interfaces, including WhatsApp, enabling teams to query complex operational data in plain language and increasing adoption across organizations.

The Seed extension will be used to expand Delfos Energy’s AI Suite, deepen deployments across energy transition markets, and grow into adjacent sectors such as energy storage. Once the company achieves scale and maturity in Europe, the US market is expected to be its next major focus.

According to Guilherme Studart, CEO and co-founder of Delfos Energy: “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.”

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