February 2026
Accepted into Google for Startups AI Programme
Doses AI has been accepted into Google for Startups' AI-first programme, joining a select cohort of companies building with AI at the frontier. The programme provides access to Google Cloud credits, technical mentorship from Google engineers, and connections across the broader Google ecosystem.
About the Programme
Google for Startups' AI-first programme identifies early-stage companies pushing the boundaries of applied artificial intelligence. The programme is designed to provide founders with the infrastructure, knowledge, and network they need to scale AI-native products — from prototype to production.
Doses AI was selected for its work in on-device health AI, an area where the intersection of model efficiency, user privacy, and real-world clinical utility presents unique technical challenges. The company's approach to running health intelligence entirely on consumer smartphones — without any cloud dependency — aligned with Google's interest in supporting founders working on technically ambitious, socially impactful applications.
Google for Startups supports AI-first companies with up to $350K in Google Cloud credits, direct access to Google engineers and researchers, and introductions across the Google partner ecosystem. The programme has supported thousands of startups globally, with alumni collectively raising over $8 billion in follow-on funding.
What the Programme Provides
For Doses AI, acceptance into the programme unlocks several critical resources that directly accelerate the company's technical roadmap:
- Google Cloud credits — Substantial cloud compute credits that support distributed training experiments and large-scale data preprocessing pipelines for health AI model development
- TPU access — Access to Google's Tensor Processing Units for training ternary language models, where the custom hardware acceleration significantly reduces training time for the Doses Mortar model family
- Technical mentorship — One-on-one sessions with Google engineers specialising in on-device ML, model optimisation, and TensorFlow Lite deployment pipelines
- Ecosystem connections — Introductions to Google's health AI teams, Android platform engineers, and the broader Google for Startups alumni network