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Delfos

by Inmergo Software · Since 2017
No reviews yet
ActiveAvailable globallyCloud
Quick facts
VendorInmergo Software
Year launched2017
StatusActive
LocationNorrsken House Barcelona Passeig del Mare Nostrum 15, 08039 Barcelona, Spain
Countries servedGlobal
Languages3
Integrations2+
Free tierNO
Free trialNO
Contact salesYES
Last reviewed: Jun 2026

About Delfos

An AI-powered asset performance management platform for renewable energy portfolios. It provides real-time monitoring, predictive maintenance, and failure detection for wind, solar, hydro, and battery storage assets.

Delfos is an AI-powered asset performance management (APM) platform specifically designed for renewable energy operators. It serves as a 'virtual engineer' that centralizes data from wind, solar, hydro, and battery storage assets to improve operational efficiency. By leveraging over 100 predictive models and digital twin technology, Delfos helps teams move from reactive maintenance to proactive, data-driven strategies. The platform is particularly effective at reducing downtime and identifying hidden energy losses, with users reporting significant improvements in net generation and monitoring speed. It is built for asset managers, O&M teams, and financial analysts who need to optimize performance across large-scale renewable portfolios. While the platform offers robust analytics and automated reporting, it is a specialized enterprise solution that requires a demo for pricing and implementation details.

Pros & Cons

What users like
  • +Significantly reduces downtime through proactive predictive maintenance and anomaly detection.
  • +Centralizes data from diverse OEM platforms into a single, unified dashboard.
  • +Automates reporting and monitoring tasks, saving hours of manual work per week.
  • +Provides actionable insights that help operators recover lost revenue and improve energy production.
What users flag
  • Pricing is not publicly available and requires a sales contact for enterprise implementation.
  • The platform is highly specialized for renewable energy, which may limit its utility for general-purpose data analytics.
  • Organizations with limited historical operational data may require time to achieve optimal predictive accuracy.
  • Advanced analytics capabilities may require user training for maximum effectiveness.

Features

Key features

Predictive Maintenance
Uses AI models to detect potential faults and anomalies in wind turbines, solar inverters, and battery systems before they cause downtime.
Real-Time Monitoring
Tracks asset performance and operational events as they unfold to ensure contractual compliance and reliability.
Energy Loss Analysis
Identifies hidden energy losses per equipment to help operators recover revenue and optimize production.
Digital Twin Technology
Creates physics-based models of power plants to compare expected versus actual performance for precise health management.
Automated Reporting
Generates investor-grade performance reports and KPIs to streamline operational workflows and reduce manual data processing.

Additional features

Event Management
Classifies and tracks operational issues to streamline maintenance workflows.
Portfolio Management
Provides centralized dashboards for monitoring multiple renewable energy assets across different locations.
OEM Integration
Connects data from various equipment manufacturers into a unified platform.
Performance Optimization
Uses machine learning algorithms to improve reliability and output across wind, solar, and hydro assets.
Contractual Compliance
Monitors assets to ensure they meet performance and availability requirements.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Global
Countries served
3
Interface languages
3
Billing currencies

Interface languages

EnglishSpanishFrench

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP

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