Solar EPC and EV charging infrastructure developer across India
Enerture Technologies operates as a turnkey solar EPC and EV charging infrastructure provider founded in 2012. The tech stack—AutoCAD, Python, TensorFlow, PyTorch, AWS, Azure, GCP, Tableau, Power BI—reveals an engineering-heavy company investing in ML and cloud infrastructure despite a core business rooted in physical project execution. Hiring acceleration across engineering and data roles (junior-weighted) suggests internal push toward analytics and automation, likely targeting cost optimization and compliance tracking pain points that currently constrain project delivery timelines.
Enerture Technologies is a privately held solar EPC and charging infrastructure company serving India with end-to-end solutions: design, detailed engineering, procurement, installation, and commissioning of solar photovoltaic systems and EV charging/battery-swapping stations. The company also operates ejilelearning.com, an online skill-training platform. With 51–200 employees based in Gurugram and active project execution across India, Enerture balances project delivery with internal capability building in data science and cloud infrastructure.
Enerture uses AutoCAD and Tally for engineering and finance, Zoho for operations, Power BI and Tableau for analytics, Python with NumPy, Pandas, scikit-learn, TensorFlow, and PyTorch for data science, and AWS, Azure, and GCP for cloud infrastructure.
Enerture's active project focus centers on solar EPC design delivery. The company also operates EV charging and battery-swapping infrastructure services, and runs an online skill-training platform (ejilelearning.com).
Other companies in the same industry, closest in size
Enerture Technologies Pvt Ltd'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.