Predictive analytics and condition monitoring for wind turbines
ONYX Insight builds sensing, data capture, and analytics software for wind farm operators. The tech stack—Python, MATLAB, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, SCADA integration, and AWS—reflects a mature machine-learning and signal-processing operation focused on time-series anomaly detection and failure forecasting. Engineering dominates the 13-person hiring pipeline (7 roles), paired with data (2), pointing to active expansion of modeling capability and sensor integration.
ONYX Insight provides predictive maintenance and condition monitoring software for wind turbines and wind farm fleets. The company sells to asset owners and operators who need to predict component failures, optimize maintenance scheduling, and maximize energy production. Their product surface spans SaaS platforms (wind turbine monitoring and predictive maintenance), on-site sensor installation and equipment commissioning, customer enablement, and technical advisory services. Founded in 2008 and based in Nottingham, the company operates across the United Kingdom and United States with a 51–200-person team.
Python, MATLAB, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, SCADA, .NET, Docker, AWS, Databricks, React, PostgreSQL, Terraform, and GitLab.
Sensor installation, condition monitoring equipment deployment, SaaS wind turbine monitoring and predictive maintenance platforms, cloud connectivity for machinery, customer enablement programs, and operations & maintenance optimization services.
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.