Google DeepMind is a Foundation Models company founded in 2010 and based in London, United Kingdom. It has been part of Google since 2014.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Jan 26, 2014 | Acquired | $500M | — | |
| Feb 23, 2011 | Seed | $3.3M | — | Founders Fund, Horizons Ventures |

Google Cloud adds OpenAI's GPT-6 Astra, GPT-6.1 Sol and GPT-6 Luna models alongside Gemini and Claude in a private enterprise preview.

Replit launches Bring Your Own Cloud, letting enterprises run development and production on Azure, Google Cloud, or AWS.

Meta's Muse Wonder model claims 5 million downloads in 22 days, while Cloudflare and major sites block its personal agent at scale.
Google releases Gemini 4 Argon globally for coding, enterprise workflows and cyber defense, with API intro pricing at $2/$10 per million tokens.

Unreleased Google Gemini 4 "Carbon" reportedly rivals Anthropic's Opus 5.5 on coding, per an unnamed employee cited by Business Insider.

Google DeepMind's Pushmeet Kohli and Biohub's Sal Candido discuss scaling limits and next-generation models for protein structure and biology in a Latent Space panel.
Google DeepMind's flagship family of multimodal large language models. Gemini powers a range of products including Gemini CLI — a coding agent with industry-leading 1M+ token context windows — and integrated AI features across Google Cloud, Android Studio, and Google Workspace. Gemini models handle text, images, audio, video, and code, competing directly with OpenAI's GPT-4 and Anthropic's Claude.
An AI system that predicts the 3D structure of proteins from their amino acid sequences with remarkable accuracy. AlphaFold has solved a 50-year grand challenge in biology, accelerating drug discovery and disease research. Its database now covers over 200 million protein structures, making it one of the most impactful AI contributions to science.
A family of lightweight, open-source AI models built from the same research and technology behind Gemini. Gemma is designed for developers and researchers who want to build responsible AI applications at scale. It offers pre-trained and instruction-tuned variants that run efficiently on laptops, workstations, and Google Cloud.
A generalist AI agent that can play, reason, and learn alongside humans in virtual 3D worlds. SIMA 2 understands natural language instructions and adapts to new game environments without bespoke training, representing a step toward AI systems that can interact with dynamic, open-ended digital spaces.
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