ENGIE, a low-carbon energy and services provider, has launched its Global Enterprise Startup Program to collaborate with enterprise-ready startups in addressing operational and technological challenges across India’s renewable energy sector. The initiative will focus on solutions built on artificial intelligence and digital technologies, aiming to enhance efficiency and support India’s energy transition goals.
At the heart of this initiative is Urja.ai powered by ENGIE, a platform designed to accelerate innovation through strategic partnerships. The program will strengthen collaboration between ENGIE and startups across key segments of the renewables and batteries value chain—including business development, EPC, and operations and maintenance. It will also extend to ENGIE India’s newly established energy trading business, where digital tools and advanced analytics are reshaping market participation. ENGIE aims to co-develop solutions that combine startup agility with industry expertise, ensuring innovation translates into practical impact for India’s clean energy transition.
Amit Jain, CEO and country manager India, MD Renewables & Batteries India & South-East Asia, ENGIE in India, said: “India is at the heart of the global energy transition, and startups here are uniquely positioned to bring fresh thinking and bold innovation. Through this program, we aim to partner with startups that can help us address challenges in solar, wind, batteries, and energy management. Together, we aim to accelerate India’s shift to cleaner energy while creating new opportunities for the ecosystem.”
Applications will open in October 2025, followed by a selection process in November. A pitch day will be held in December to shortlist startups, with final engagements beginning in January 2026. Selected startups will have the opportunity to run pilot projects with ENGIE India, receive mentoring from senior leaders, and access potential grant funding.
The program is open to mature startups from India and overseas. Participants will be evaluated based on the novelty of their ideas, relevance to ENGIE’s use cases, and their track record of actual deployment.
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