Wind turbine condition monitoring and predictive analytics for fleet operators
ONYX Insight pairs on-turbine sensing hardware with a predictive analytics platform for wind farm owners and operators. Its stack shows a dual identity: an engineering-science core (MATLAB, SciPy, scikit-learn, TensorFlow, PyTorch, SCADA) alongside a cloud data layer (AWS, Databricks, Terraform). Engineering-heavy hiring plus a new Quality Lead role and pains around rising product volume point to scaling hardware deployments, not just software.
Notable leadership hires: Quality Lead
ONYX Insight is a privately held company founded in 2008 and headquartered in Nottingham, United Kingdom, with 51–200 employees. It serves wind farm owners and operators with condition monitoring, predictive maintenance and drivetrain inspection services. Its offering combines sensor installation, data capture and analytics to track turbine health and reliability. The company also provides engineering consultancy, root cause analysis and technical due diligence for investors. Hiring currently spans the United Kingdom and United States.
ONYX Insight uses Python, MATLAB, C#/.NET, React and TypeScript, with PostgreSQL, AWS, Databricks, Terraform, Docker and GitLab, plus ML libraries like TensorFlow, PyTorch and scikit-learn, and SCADA data.
Current work includes sensor and condition monitoring equipment installations, connecting turbine machinery to the cloud, a wind turbine predictive analytics platform and an energy production optimization system.
ONYX Insight is headquartered in Nottingham, United Kingdom, and is hiring in both the United Kingdom and the United States, mostly for mid-level engineering roles.
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ONYX Insight's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.