Founded in 2018, the company was bootstrapped until now, but decided to raise funds after integrating artificial intelligence (AI) into its products, founder Daniel Raj told ET.
The company manages OEM-agnostic multi-brand wind assets and provides full-scope O&M, predictive maintenance, data analytics, SCADA modernisation, component repairs and crane-less major component exchanges.
The company’s global control centre in Coimbatore oversees operations, with a supply chain that includes over 100 suppliers, 20 repair loops, multiple component partners and 6,000 components in stock.
The capital will be used to expand Greentech’s infrastructure and prioritise upgrades to its AI/ML predictive maintenance platforms, SCADA analytics systems and business development in India and international wind markets.
The funding will also support the scaling of AI-driven predictive technology and turning repair facilities into hubs for mechanical, electrical, generator, gearbox and electronics work, the company said. Greentech is looking to rake in multiple times higher revenue in the next two years through these expansions.
“As a one-stop solution for wind asset management, our focus is to maximise generation, protect asset integrity, improve reliability and deliver sustained value for asset owners,” said Raj. “As the renewable energy sector continues to expand, we are further strengthening our capabilities and broadening our operational footprint to support the clean energy transition.”
Greentech has stressed on using AI and machine learning engines for real-time anomaly detection, failure forecasting, blade health monitoring and remote performance tracking across turbine fleets. These tools support a shift from time-based to condition-based maintenance, which cuts downtime and lowers lifecycle costs for asset owners.
The company serves projects in major Indian wind states, including Karnataka and Madhya Pradesh and markets such as Vietnam and Sri Lanka, with plans to enter more Southeast Asia and MENA regions. It runs advanced blade inspection technologies alongside its AI stack to improve reliability.