Google: AI for Energy

Program Type: Hybrid (In-person & Online)
Location: North America
Equity Taken: Equity-free
Program Duration: 10 weeks
Stage: Pre-Seed to Series A

Industry of Focus

• Energy
• AI/ML

Key Highlights

Program Overview

The AI for Energy 2025: Google for Startups Accelerator is a ten-week hybrid program designed for Pre-Seed to Series A startups in North America. Sponsored by Google, it focuses on grid optimization, demand flexibility, and energy solutions for utilities and commercial entities. The program aims to drive innovation, sustainability, and reliability in the energy landscape.

Investment Details

Equity-free support for the duration of the program.

Benefits Details and Perks/Credits

• Up to $350,000 in Google Cloud credits
• 30 days of free Cloud TPU access
• Dedicated mentoring from Google teams
• Exclusive invitations to technical bootcamps
• Access to Google's network of industry experts
• Early access to new Google products and tools
• Support on company and product strategy
• Technical project partnership with Google experts
• Peer-to-peer support network through the Founder Network

Program Format

The program runs for ten weeks with a mix of remote and in-person sessions, including 1-to-1, group learning sessions, sprint projects, and mentorship. It concludes with a Demo Day where startups pitch to potential partners, customers, and investors.

Location or Relocation Requirements

The program is for startups headquartered in the United States and Canada.

Cohort Size and Program Frequency

Each cohort consists of 10-15 startups.

Requirements Related to Users, Revenue, or LOIs:
Startups should be demonstrating traction and ideally be between Pre-Seed and Series A stage.

Post-Program Engagement

Graduates join the North American Accelerator Alumni Community with continued access to Google experts, events, early access programs, and more. Google mentors often continue relationships with participants after the program.

Company Types Requirements

Startups should be building scalable products or services with a significant total addressable market and defensible growth model, leveraging AI and/or machine learning.

Founding Team Preferences

Commitment from CEO and CTO and/or technical roles to participate and engage in required program sessions.