A program designed for Scale tier AI startups
Eligibility requirementsFor early stage AI-first startups with Venture Capital funding |
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Google Cloud CreditsReceive up to $350,000 Google Cloud Credits to support your development costs over 2 years |
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Access AI ExpertsGoogle Cloud expert availability and advice for your projects and challenges |
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LLM model flexibilityVertex AI Model Garden gives you access to the world's best models, providing choice and flexibility |
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Eligibility requirements
For early stage AI-first startups with Venture Capital funding
Have received qualifying venture capital funding from seed to Series A
Founded within the last 10 years
Not yet received more than $5,000 in Google Cloud credits
Eligibility at the discretion of Google Cloud.
Google Cloud Credits
Receive up to $350,000 Google Cloud Credits to support your development costs over 2 years
Year 1: Google Cloud Credits to cover 100% of eligible Google Cloud usage up to $250,000 USD (includes Scale Tier program credits plus an additional $150k for startups enrolled in the AI Tier) [1]
Year 2: Google Cloud Credits to cover 20% of eligible Google Cloud usage, up to an additional $100k [1]
Receive $12,000 USD in Google Cloud Enhanced Support credits for one year
Receive 12 months of free Google Workspace Business Plus for new signups [2]
Receive $600 monthly credits on Google Maps Platform for 12 months for new signups [3], in addition to the free monthly usage
Access AI Experts
Google Cloud expert availability and advice for your projects and challenges
Access exclusive webinars and live Q&As with Google Cloud AI product managers, engineers, and developer advocates
Obtain insight into Google Cloud’s latest AI advances and product roadmap
LLM model flexibility
Vertex AI Model Garden gives you access to the world's best models, providing choice and flexibility
Program members can use standard program credits on Google Gemini and our Vertex AI open models. In addition, AI Tier startups may qualify for an additional $10,000 USD to be used exclusively on partner LLM models through Model Garden.
Why build your AI startup on Google Cloud
Cradle uses generative AI and wet-lab technologies to help find, understand, and engineer proteins and enzymes — significantly speeding up the research and development. We use Google Cloud to enable our machine learning team to quickly learn from massive scale DNA-sequence and laboratory data as well as quickly train and fine-tune new models using state-of-the-art Nvidia and TPU accelerators.
Stef van Grieken, Co-founder and CEO, Cradle
1. Credits can be applied toward Google Cloud Services and Select Google Cloud offerings, subject to the Google for Startups Cloud Program-Startup Terms.
2. Company domain must not have been subscribed to a paid Google Workspace plan from within 31 days of applying to the Google for Startups Cloud Program, to the day the benefit is requested.
Acceptance into this program is at the discretion of Google Cloud. We are unable to accept companies that have IPO’d or been acquired, educational institutions, government entities, nonprofits, personal blogs or content, dev shops, consultancies, or agencies, cryptocurrency mining company, or a company distributing tokens contrary to regulatory guidance in your jurisdiction.
*Startup Equity Funding includes equity investments that support startup growth from institutional investors and venture capital firms. Simple Agreement for Future Equity (SAFE) agreements are eligible. To support the Web3 community, we accept verifiable token raises and blockchain foundation grants.
Funding through private equity, government innovation grants, prize funding, crowdfunding, angel, and friends and family funding will not qualify a startup for scale but will be evaluated for other program tiers.
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