Delfos Energy hits 1,000 energy sites milestone in Europe, raises additional funds to scale AI “virtual engineer” offering

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

The seed extension was raised in response to continued investor demand for energy-sector focussed AI, and will support Delfos Energy’s ongoing consolidation across Europe. The company aims to raise a Series A fundraising round within the next 12-18 months to support its next phase of growth.

Delfos Energy builds applied AI for renewable and energy infrastructure operators - helping them run assets more efficiently, reliably and at scale. Its platform acts as a continuously operating virtual engineer: it ingests operational data in real time, detects abnormal behaviour and early-stage failures, interprets complex signals in context, and turns them into prioritised, actionable recommendations for engineering, operations and executive teams.

Since 2017, Delfos Energy has applied machine learning in production environments across energy systems, combining deep domain expertise with production-grade AI. Rather than simply surfacing data or triggering alerts, Delfos Energy is designed to solve an execution and decision-making problem: helping teams understand what matters most, why it matters, and what to do next - even across large, distributed fleets.

From dashboards to decisions: a virtual engineer that drives action:

Unlike traditional monitoring and analytics tools that stop at dashboards, alarms or generic anomaly flags, Delfos Energy replicates the work of an experienced performance engineer. The platform:

• Interprets operational signals, not just detects them
• Provides context and prioritisation across sites and assets
• Suggests recommended actions, including what to do, when to do it and why
• Helps teams move from “something looks off” to “here’s the likely cause and the best next step” faster

Delfos Energy also provides natural-language interfaces - including tools such as WhatsApp - so teams can query complex operational data in plain language, lowering the barrier to adoption across organisations.

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Scaling across Europe:

Delfos Energy is consolidating its position across Europe, where the company now supports more than 1,000 energy sites across over 10 countries. Europe is expected to account for 35–40% of Delfos’ global revenues this year, with Delfos’ existing European customer cohort projected to deliver over 4–5x revenue growth as deployments deepen across multi-site operators.

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Building an intelligence layer for the energy transition - and the next generation of engineering automation

Delfos Energy's platform is built as a two-layer AI system purpose-built for real-world 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 increasingly complex energy systems.

On top of this, Delfos Energy 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.

The platform combines open-source large language models with Delfos Energy’s proprietary guardrails, domain logic and operational data, creating an AI system designed specifically for energy operations - not a generic AI interface adapted to the sector. Over time, Delfos Energy expects this workflow layer to evolve into agents that can carry out defined engineering tasks, helping lean teams operate larger, more complex asset portfolios.

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AI, talent and the operational skills gap:

As Europe accelerates the energy transition, IPP and utility operators face a growing skills and knowledge gap: experienced engineers are retiring while systems and storage needs become more complex. Delfos Energy positions its virtual engineer as operational infrastructure - preserving institutional knowledge, standardising best practice and enabling teams to manage more assets with greater confidence.

Delfos’ global headquarters in Barcelona supports this strategy, serving as a hub for AI and software engineering talent and benefiting from the city’s expanding deep-tech ecosystem.

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Use of funds and next steps:

The seed extension will be used to:

• Consolidate Delfos Energy’s AI Suite, deepening deployments across key energy transition markets
• Continue expanding into adjacent energy transition verticals, including energy storage

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Once Delfos Energy reaches sufficient scale and maturity in Europe, the company expects the US to represent its next natural market.

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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.”

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Press contact:

Harry Ashcroft | Perseid PR

harry@perseidpr.com 

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About Delfos Energy:
Delfos Energy is an AI company building a virtual engineer platform for the energy transition. Headquartered in Barcelona, Delfos applies machine learning and natural-language AI to help energy operators improve reliability, reduce downtime and scale operational knowledge across complex infrastructure. Founded in 2017, Delfos supports energy transition projects across Europe, with further international expansion planned.

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