Deadline Date: June 30, 2026
Applicants are now submit applications to support startups in North America developing innovative artificial intelligence solutions for energy optimization, sustainability, and infrastructure resilience.
The programme focuses on grid optimization, demand flexibility, energy solutions for customers, interconnection queues, carbon-aware infrastructure, product design, customer acquisition, leadership development, artificial intelligence applications for energy, machine learning innovation, technical project collaboration, mentoring, training, and strategic growth support.
The accelerator is part of a global series of programmes designed to help startups address technical challenges while strengthening their businesses. Each cohort includes 10 to 15 startups that participate in a combination of remote and in-person sessions, one-to-one mentoring, group learning activities, and sprint projects.
Participating founders identify the main technical challenges faced by their startups and work closely with experts from Google and industry specialists to develop solutions and improve business growth. The programme also includes specialist workshops and deep dives focused on product design, customer acquisition strategies, and leadership development.
Selected startups receive equity-free support throughout the duration of the programme. Participants also gain access to mentoring from Google teams, invitations to technical bootcamps, and support from Google’s network of industry experts.
Eligible participants may receive early access to Google AI products through Trusted Tester and Early Access Program benefits. Startups may also apply for cloud credits and are eligible for free Cloud TPU access to support open-source machine learning research. Additional strategic guidance is provided for company and product development, alongside technical project collaboration with Google experts.
The programme is intended for startups demonstrating traction, ideally between the Pre-seed and Series A stages. Applicants should be building scalable AI-powered products or services for the energy sector with strong market potential and a defensible growth model. Startups must also demonstrate deep technical expertise in machine learning and AI applications for energy and ensure participation from CTOs or technical team members throughout the programme.
For more information, visit Google for Startups.
