AI diagnostics platform for power plant performance and asset reliability
Metroscope operates a digital-twin and anomaly-detection platform for thermal and nuclear power generation. The stack—Azure, Kubernetes, Terraform, and a modern observability layer (Grafana, Prometheus, Loki)—reflects infrastructure built for real-time monitoring at scale. Active projects around time-series anomaly detection, predictive production modeling, and Kubernetes industrialization suggest the company is moving from legacy data systems toward cloud-native ML, while concurrent pain points around platform scalability and data migration indicate they're still resolving architectural debt from earlier stages.
Notable leadership hires: Chief Financial Officer
Metroscope builds AI-driven monitoring and diagnostics software for power generation operators. The platform uses digital twins and Bayesian machine learning to detect equipment faults, quantify performance losses, and inform maintenance decisions across thermal and nuclear assets. Deployed at over 100 power plants in 12 countries, including the entire French nuclear fleet, the platform has identified thousands of faults annually with high confirmation rates and helped recover additional megawatts of generating capacity. The company is French, founded in 2018, and operates as a subsidiary of the EDF Group.
Azure, Kubernetes, Terraform, GitHub, Argo CD, Harbor, and a modern observability stack including Grafana, Prometheus, Loki, and Alertmanager. Linux underpins core infrastructure.
Yes. Active roles span engineering, data, finance, ops, and sales. Hiring spans both mid and senior levels, plus interns, across France and the United States.
Over 100 power plants globally, including the entire French nuclear fleet operated by EDF, with more than 700 users across 12 countries.
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