AI monitoring platform for renewable energy asset performance and predictive maintenance
Delfos monitors over 15 GW of installed renewable capacity across wind, solar, hydro, and battery storage assets globally. The stack reflects a modern SaaS operation—React/Vue/Angular frontend, NestJS backend, Kubernetes orchestration on AWS—with active adoption of AI coding tools (Claude, GitHub Copilot, Windsurf) embedded in development workflows. Current hiring leans sales-heavy (3 of 8 roles) alongside ongoing engineering and support expansion, while internal projects focus on AI-driven account automation and new dashboard APIs, suggesting a pivot toward more sophisticated customer engagement tools beyond pure asset monitoring.
Delfos builds an AI platform for renewable energy operators to monitor asset performance, predict equipment failures, and optimize power generation. The product ingests data from over 2.5 million assets in operation across multiple renewable technologies, surfacing anomalies and maintenance recommendations through machine learning models. Customers range from wind farm operators to solar plant managers seeking to reduce unplanned downtime and unlock hidden revenue in their fleets. The company, founded in 2017 and headquartered in Barcelona, operates with 51–200 employees and serves a global customer base while scaling operations into new European markets.
Frontend: React, Vue, Angular. Backend: NestJS with GraphQL and REST APIs. Infrastructure: AWS (EKS, Lambda), Docker, Kubernetes. Data: SQL. Development tools: GitHub Actions, Jenkins, Git. The team also uses Claude, GitHub Copilot, and Windsurf for AI-assisted coding.
Over 15 GW of installed renewable power capacity and 2.5+ million assets globally, spanning wind farms, solar plants, hydroelectric facilities, and battery energy storage systems. The platform detects anomalies, predicts failures, and recommends maintenance actions.
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