
Onyx Insight
They provide industry leading predictive analytics and wind turbine monitoring services underpinned by strong engineering expertise.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor | €0.0 | round | |
* | N/A | Acquisition | |
Total Funding | 000k |
USD | 2020 | 2021 | 2022 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 188 % | 22 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Onyx Insight provides predictive maintenance solutions for the global wind energy industry, serving wind farm owners, operators, and manufacturers. The company's business model centers on offering a combination of software, advanced sensing hardware, and engineering consultancy services to optimize the lifecycle and performance of wind turbines. Revenue is generated through sales of its monitoring equipment and software analytics platforms, which help clients reduce operational and maintenance costs, minimize downtime, and prevent catastrophic equipment failures.
The company's origins trace back to 2008 as a team within Romax Technology, focusing on gearbox and bearing designs for the wind industry. This specialized analytics division gained the attention of Castrol, which took a controlling stake, leading to the formation of a joint venture. The Onyx Insight brand was officially launched in 2017. In 2024, Macquarie Capital acquired 100% of the company, which continues to operate as an independent business. Led by acting CEO Brian Allan, the company operates from seven global offices and monitors over 28,000 turbines across more than 35 countries.
Onyx Insight's core offering includes its fleetMONITOR cloud-based software, which centralizes data analysis from various condition monitoring systems, and its ecoCMS hardware for monitoring turbine drivetrains. The company has expanded its solutions to include blade monitoring with products like ecoPITCH, which addresses blade pitch bearing failures. This integrated approach of hardware and software allows for the early detection of faults, with analytics capable of anticipating major component issues up to 24 months in advance.
Keywords: predictive maintenance, wind turbines, condition monitoring, renewable energy, data analytics, asset optimization, engineering consultancy, sensor technology, fleet management, drivetrain analysis