Predictive maintenance and condition monitoring for wind turbines
ONYX Insight builds predictive analytics for wind-farm operations, combining sensor data, MATLAB-based modeling, and Python analytics to forecast turbine failures and optimize fleet performance. The engineering-heavy org (8 of 13 active roles) is actively scaling—most headcount sits at senior and mid-levels, suggesting deep domain work rather than rapid growth. Projects cluster around bid standardization and reliability frameworks, while pain points center on inefficient sales cycles (bid process, win rates) and asset optimization, indicating a company balancing technical depth with commercial friction.
ONYX Insight, founded in 2008 and based in Nottingham, UK, develops predictive analytics and condition-monitoring platforms for wind-farm operators and owners. The product sits at the intersection of sensing (hardware deployment), data capture (IoT ingest), and analytics (MATLAB and Python models) to predict turbine failures, optimize maintenance schedules, and maximize fleet efficiency. The customer base includes wind-farm operators, asset owners, and investors conducting technical due diligence. The company operates across the UK and US, with a technical staff of 51–200 employees structured primarily around engineering, with smaller sales and product teams.
Core stack: Python, MATLAB, C#, .NET, React, AWS, PostgreSQL, Terraform. Salesforce for CRM, Jira and Confluence for collaboration, GitLab for version control.
Nottingham, United Kingdom. Founded 2008, privately held, 51–200 employees.
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