Google DeepMind

Google DeepMind

Researchers, developers, and enterprises seeking advanced AI models for applications ranging from scientific discovery to content generation and robotics.

London, UK
deepmind.google
Founded
2010
Headquarters
London, UK
Team size
5000+
Type
Private company
Pricing
Freemium
Visit Website

Overview

Google DeepMind is an AI research laboratory and technology developer headquartered in London, UK, and a wholly owned subsidiary of Google. Founded in 2010, the lab was merged with Google Brain to form a single, focused team led by CEO Demis Hassabis. Its stated mission is to build AI responsibly to benefit humanity, with a focus on advancing artificial general intelligence (AGI) and applying AI to scientific discovery. The organization is known for pioneering deep reinforcement learning and for landmark achievements such as AlphaGo, the first computer program to defeat a world champion in the game of Go. Today, Google DeepMind develops a broad portfolio of AI models and products, including the Gemini family, open models like Gemma, and specialized systems for video, image, audio, and robotics.

Funding: Google DeepMind has raised $1.53 billion in funding, with early investors including Horizons Ventures, Founders Fund, and entrepreneurs such as Peter Thiel and Elon Musk. It was acquired by Google in 2014 for £400 million.

What it does

Google DeepMind researches and builds next-generation AI systems, ranging from frontier large language models to specialized generative models. Its Gemini models are designed for building intelligent agents and handling multimodal tasks, while specialized models like Veo generate cinematic video with audio, Imagen creates high-quality images from text, and Lyria produces high-fidelity music and audio. The lab also develops world models and physical AI systems, such as Genie 3 for generating interactive worlds and Gemini Robotics for perceiving, reasoning, and interacting with the physical world. In the scientific domain, it creates tools like AlphaFold for protein structure prediction, WeatherNext for fast and accurate weather forecasting, and AlphaEvolve for designing advanced algorithms. Additionally, Google DeepMind offers open models (Gemma) for building responsible AI applications at scale and provides access to its models through platforms like the Gemini app and Google AI Studio.

Key features

  • Gemini frontier models with action capabilities
  • Gemini Omni for creating anything from any input, starting with video
  • Nano Banana for detailed image creation and editing
  • Veo for generating cinematic video with audio
  • Imagen for high-quality text-to-image generation
  • Lyria for high-fidelity music and audio generation
  • Genie 3 for generating interactive worlds
  • Gemini Robotics for perceiving, reasoning, and interacting with the physical world

Use cases

  • Building intelligent agents and multimodal applications with Gemini
  • Generating cinematic video with audio for creative production
  • Creating and editing detailed images for design and marketing
  • Composing music and audio with high fidelity
  • Predicting protein structures for biological research
  • Forecasting weather with AI for climate and disaster preparedness

Pricing

FreemiumFrom $4.99Free tier

Pricing for Google AI plans includes access to Gemini models. Gemini API has a free tier and usage-based pricing. Specific pricing for other models (e.g., Veo, Imagen) is not publicly listed.

Pricing is gathered from the company's public pages and may change. Check the vendor's site before buying.

Pros and cons

Strengths

  • Backed by Google, providing substantial resources and infrastructure
  • Proven track record of research breakthroughs, including AlphaGo and AlphaFold
  • Broad portfolio of models covering text, image, video, audio, and robotics
  • Offers open models (Gemma) for developers
  • Strong emphasis on responsible AI and safety

Limitations

  • Pricing for many models and services is not publicly listed on the main site
  • Some advanced models may be enterprise-focused with no self-serve option
  • As a research lab, some products are experimental or not widely available
  • No free tier for all products; some require paid subscriptions or API usage

What sets it apart

  • Combines two of the world's leading AI labs (Google Brain and DeepMind) into a single team
  • Pioneered deep reinforcement learning and achieved landmark success with AlphaGo
  • Strong focus on applying AI to scientific discovery, with tools like AlphaFold and WeatherNext
  • Offers a comprehensive suite of generative models across multiple modalities

Frequently asked questions

What is Google DeepMind?

Google DeepMind is an AI research lab and technology developer, founded in 2010 and headquartered in London, UK. It is a subsidiary of Google and focuses on building safe and responsible AI systems.

What are the main products or models offered?

Google DeepMind offers a range of AI models including Gemini (frontier models), Gemini Omni, Nano Banana (image), Veo (video), Imagen (image), Lyria (music), Genie 3 (interactive worlds), Gemini Robotics, and open models like Gemma.

How can I access Google DeepMind's models?

Models can be accessed through the Gemini app, Google AI Studio, and the Gemini API. Some models are available via Google AI plans (e.g., Google AI Pro, Ultra) which include storage and access to Gemini features.

Is there a free tier?

Yes, the Gemini API offers a free tier with limited usage. Google AI plans start at $4.99/month for additional features and storage.

What is the mission of Google DeepMind?

The mission is to build AI responsibly to benefit humanity, with a focus on advancing artificial general intelligence and applying AI to scientific discovery.

Sources

This profile was compiled from the company's own pages and public web research.

Last researched August 11, 2026.

Listed on:gemini

Manage this listing

Own this company? Update your listing information.

Update Listing