British-American AI research laboratory, a subsidiary of Alphabet Inc., formed in 2010 in London and merged with Google Brain in April 2023. Known for the Gemini model family, AlphaFold, and TPU hardware.
Google DeepMind is one of the world's foremost artificial intelligence research laboratories. The organization was established in 2023 through the merger of the London-based DeepMind laboratory and the Google Brain team.
DeepMind was originally founded in London in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman. The company gained global recognition in 2016, when the AlphaGo system defeated the world champion in the game of Go — an event regarded as one of the most significant milestones in the history of artificial intelligence.
Google DeepMind focuses on developing artificial intelligence systems capable of solving complex scientific problems and advancing technologies directed toward artificial general intelligence (AGI).
One of the organization's greatest achievements is AlphaFold — a protein structure prediction system that has significantly accelerated biological and pharmaceutical research. AlphaFold has been used to predict the structures of nearly all known proteins.
The laboratory is also developing the Gemini family of models — a new generation of multimodal artificial intelligence models integrating text, images, video, and code.
Google DeepMind additionally conducts extensive research in reinforcement learning, robotics, and AI systems capable of operating in physical environments.
Founders
British AI researcher and former chess prodigy; co-founded DeepMind in 2010, 2024 Nobel laureate in Chemistry for AlphaFold.
New Zealand AI researcher with a PhD from IDSIA; co-founder of DeepMind and Chief AGI Scientist.
British entrepreneur and author; co-founder of DeepMind and Inflection AI; CEO of Microsoft AI since 2024.
Gemini 2.5 Pro is Google DeepMind's flagship reasoning model, generally available June 17, 2025. Built on Sparse MoE architecture, supports up to 1M token context, text/audio/image/video input, and integrated thinking mode.
AI model developed by Google DeepMind and Isomorphic Labs for predicting 3D structures and interactions of biomolecules including proteins, DNA, RNA, ligands, ions, and modified residues.
Open (Apache 2.0) family of multimodal AI models from Google DeepMind (E2B/E4B/26B A4B/31B). Supports text, image, audio, and video. Native function calling.
Gemini 3 is the third generation of Gemini models from Google DeepMind, a multimodal model family with advanced reasoning, coding, and agentic planning capabilities.
Gemini 3 Flash is a multimodal language model by Google DeepMind from the Gemini 3 family, designed for fast inference and low cost while retaining reasoning capabilities comparable to Gemini 3 Pro.
Gemini 3.1 Deep Think is a specialized reasoning mode by Google DeepMind built on top of Gemini 3.1 Pro, designed for the most challenging scientific, mathematical, and engineering problems.
Gemini 3.1 Flash-Lite is the most cost-efficient thinking model in Google DeepMind's Gemini 3 series, designed for high throughput and low latency while retaining reasoning quality.
Gemini 3.1 Pro is Google DeepMind's most capable general-purpose model from the Gemini 3.1 family – a multimodal model with enhanced reasoning, agentic coding, and long-context capabilities.
Vision-language-action (VLA) model by Google DeepMind for robotic control, combining web-scale vision-language pretraining with robotics data, announced July 28, 2023.
Vision-Language Model by Google DeepMind with advanced spatial and embodied reasoning, designed for robotics applications.
Vision-Language-Action (VLA) model by Google DeepMind that converts visual inputs and language instructions into motor commands for robots.
VLA model by Google DeepMind optimized to run locally on robotic devices with low-latency inference.
Classification
