Google DeepMind
ACTIVEBritish-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
Founded 2010 · London, United KingdomGoogle 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.
Domain of activity
3 areas · 13 technologies · 4 industries- Agent systems
- Simulation & training environments
- Autonomous systems
- LLM
- Generative AI
- Multimodal AI
- Foundation Models
- Agentic AI
- Robotics
- Embodied AI
- Computer vision
- NLP
- Speech AI
- World models
- Reinforcement Learning
- AI accelerators
- Research & science
- Healthcare
- Pharma & biotech
- Education
Global presence
HQ London · 10 offices · 1 regionsScale & funding
founded 2010Products & solutions
12 ai models · 3 model families
Gemini 2.5 Pro
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.
AlphaFold 3
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.
Gemma 4
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
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
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
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
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
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.
Google DeepMind RT-2
Vision-language-action (VLA) model by Google DeepMind for robotic control, combining web-scale vision-language pretraining with robotics data, announced July 28, 2023.
Gemini Robotics-ER 1.6
Vision-Language Model by Google DeepMind with advanced spatial and embodied reasoning, designed for robotics applications.
Gemini Robotics 1.5
Vision-Language-Action (VLA) model by Google DeepMind that converts visual inputs and language instructions into motor commands for robots.
Gemini Robotics On-Device
VLA model by Google DeepMind optimized to run locally on robotic devices with low-latency inference.
Organizational relations
3 strategic relationsStrategic relations
3- Parent companyGoogle acquired DeepMind Technologies in 2014 for approximately $500 million / £400 million. Google DeepMind remains a subsidiary of Alphabet Inc.2014 →
- OtherIn April 2023, DeepMind merged with Google Brain to form Google DeepMind, with Demis Hassabis serving as CEO.2023 →
- Acquired byDeepMind Technologies was acquired by Google in January 2014 for a sum estimated between $400 million and $650 million (figures vary by source). Following the acquisition, DeepMind became a subsidiary of Google, and subsequently of Alphabet Inc. after the 2015 restructuring.2014 →
Profile & metadata
4 classification · 8 external linksClassification
- Statusactive
- Development stagemature
- Listed onNo
- Organization typeAI Lab
