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Google DeepMind

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uuid00002x2

Namestring
Google DeepMind
Legal namestring
Google DeepMind
Websiteurl
deepmind.google
Company typeenum
Private
Founded yearint
2010
Descriptiontext

Google DeepMind is the AI research and product division of Alphabet Inc., headquartered in London (with a new 330-metre King's Cross HQ) and Mountain View, and operated through regional hubs including Singapore. Originally founded in 2010 as DeepMind, acquired by Google in 2014 for approximately $500 million, and merged with Google Brain in April 2023, the organization builds next-generation AI systems spanning the Gemini 3.5 family of natively multimodal foundation models (Flash, Pro, Deep Think, Flash-Lite), generative media models (Veo 3.1, Imagen, Lyria 3, Gemini Omni, Gemini Image/Nano Banana, Gemini Audio), world and embodied AI (Genie 3, Gemini Robotics, SIMA 2), open models (Gemma 4), and scientific AI systems (AlphaFold, AlphaGenome, AlphaEarth, WeatherNext, AlphaEvolve, Co-Scientist). These capabilities were validated by the 2024 Nobel Prize in Chemistry awarded to Demis Hassabis and John Jumper for AlphaFold, which has predicted more than 200 million protein structures.

The organization serves four primary customer sets: global financial institutions led by HSBC's multi-year partnership covering 200+ AI use cases; software developers and developer-tools platforms including GitHub, Cursor, Replit, JetBrains, and Figma; large enterprise SaaS and data platforms such as Salesforce, Shopify, Box, Databricks, Xero, and Thomson Reuters; and mass-market consumers via the Gemini app, Google Search AI Mode, Workspace, YouTube, and creative tools like Google Flow. Distribution is API-first through ai.google.dev and Google AI Studio, complemented by the Gemini Enterprise Agent Platform on Google Cloud, OEM/embedded integrations across Alphabet products and third-party SaaS, and consumer subscription.

Monetization spans subscription (Gemini app Google AI subscription), usage-based API billing, multi-year enterprise platform contracts (e.g., HSBC), and strategic equity investments such as the $75 million Alphabet stake in A24. As a wholly owned Alphabet division, DeepMind is funded by its parent and does not disclose standalone revenue. Recent notable activities include the publication of a 35-page AI Control Roadmap for AI agent security, a UK government partnership on AI-accelerated planning tools, the launch of Gemini 3.5 and Veo 3.1, and the opening of new offices in Singapore and London, set against high-profile talent departures to Anthropic and OpenAI in mid-2026.

Short descriptiontext

Google DeepMind is Alphabet's AI research division building frontier multimodal foundation models (Gemini 3.5), generative media (Veo, Imagen, Lyria), and scientific AI (AlphaFold) for global enterprises, developers, consumers, and scientists.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
5,001–10,000
akta.pro rankint
HeadquartersLondon, United Kingdom
HQ citystring
London
HQ countrystring
United Kingdom
HQ regionstring
Europe
Markets served

Serves global market

Offices4 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
foundation AI models, generative AI platforms, multimodal AI systems, enterprise AI agents, AI research services
Industry4 codes
1End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management)
CodeHDAEANAAPrimaryYes
2Enterprise Foundation Model Integration & APIs (Connectors, Governance, Deployment)
CodeHDAAACAOPrimaryNo
3Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII)
CodeHDAEANAGPrimaryNo
4AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI)
CodeHDAEANAIPrimaryNo
NAICS code2 codes
  • Software Publishers51321
  • Computer Systems Design and Related Services54151
SIC code2 codes
  • Services-Computer Integrated Systems Design7373
  • Services-Computer Programming Services7371
Product category
Artificial Intelligence Foundation Models
GTM motion5 records

Each record includes

Type, Description, Source

Revenue model4 records
1Consumer subscription (Gemini app)
TypeSubscription Recurring
Description

Google AI subscription required for premium Gemini app features; tiered pricing with features varying by tier and geography.

deepmind.google
2API / usage-based developer access
TypeUsage Based
Description

Revenue from Gemini API (ai.google.dev) billed on usage (tokens/compute) for developers integrating Gemini, Imagen, Veo, Lyria, Gemma, and other models into applications.

deepmind.google
3Enterprise AI platform contracts
TypeSubscription Recurring
Description

Multi-year enterprise agreements via Google Cloud and the Gemini Enterprise Agent Platform, exemplified by the HSBC partnership targeting over 200 AI use cases with each initiative estimated to return more than US$100 million in revenue or efficiency gains for the customer.

intelligentfin.tech
4Strategic equity investments
TypeLicensing Royalties
Description

Strategic equity stakes in aligned companies, such as Alphabet/Google's $75 million investment in A24 (approximately a 2% stake at a $3.5 billion valuation).

techbuzz.ai
Marketing channels11 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels9 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Pricing details4 tiers
1Google AI subscription (Gemini app) — required for premium features
ModelSubscriptionBilling cadenceMonthly
Notes

Google AI subscription required; features vary by tier and geography. Specific tier pricing not publicly disclosed.

deepmind.google
2Gemini API — usage-based billing
ModelUsage-basedBilling cadencePay-as-you-go
Notes

Pricing tied to tokens/compute consumed; Gemini 3.5 Flash positioned for intelligence-per-dollar efficiency with token efficiency improvements over prior Flash generation.

economictimes.indiatimes.com
3Gemini Enterprise Agent Platform — multi-year enterprise contracts
ModelOtherBilling cadenceMulti-year contract
Notes

Enterprise pricing negotiated commercially; HSBC partnership valued at $100M+ per priority AI initiative across over 200 use cases over two years.

deepmind.google
4Freemium access via Google AI Studio and Gemini app entry tier
ModelFreemiumBilling cadenceMonthly
Notes

Google AI Studio offers free-tier prompt-to-production prototyping; premium features gated behind paid subscriptions.

kotaku.com
GTM typeB2B and B2C
B2B and B2C
Offering typeSoftware
Software
Brand1 of 12 records shown
1Gemini
Description

Frontier AI model family and conversational assistant

deepmind.google
+11 more records
Core offering1 text field

Google DeepMind researches and builds frontier AI systems — primarily the Gemini family of multimodal foundation models — and delivers them to consumers via the Gemini app, to developers via Google AI Studio, the Gemini API and Google Antigravity, and to enterprises via the Gemini Enterprise Agent Platform on Google Cloud. The portfolio extends into scientific AI (AlphaFold, AlphaGenome, AlphaEarth, WeatherNext, AlphaEvolve, Co-Scientist), generative media (Veo, Imagen, Lyria, Gemini Audio, Gemini Omni, Nano Banana), world and embodied AI (Genie 3, Gemini Robotics, SIMA 2), open models (Gemma), and provenance tooling (SynthID).

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 7 values shown
  • 42% better than Flash 3 on Armadin's long-range multi-turn cyber benchmark, with 68% improvement in token efficiency
+6 more records
Product overview1 text field

Google DeepMind operates a unified AI research and product portfolio built around its flagship Gemini family of foundation models, which serves as the central platform layered with specialized models and tools. The Gemini 3.5 family (Pro, Flash, Flash-Lite, Deep Think) powers core text, reasoning, and agentic capabilities, while the broader portfolio spans Gemini Omni (multimodal video generation), Gemini Image / Nano Banana (image generation), Gemini Audio (live dialogue, TTS, and real-time translation), Veo (cinematic video with audio), Imagen (text-to-image), Lyria (music), Gemma (open models), SynthID (watermarking), and Gemini Robotics / Genie 3 (world models and embodied AI). On the science side, AlphaFold, AlphaEarth, WeatherNext, AlphaEvolve, and AlphaGenome apply foundation-model techniques to scientific discovery. These models are consumed through consumer products (the Gemini app), developer surfaces (Google AI Studio, Google Antigravity, the Gemini API / Gemini Live API), and the Gemini Enterprise Agent Platform for enterprise agent deployment. The company's mission is to build AI responsibly to benefit humanity, with an accompanying Responsibility & Safety program that includes the AI Control Roadmap, multi-agent safety research, and SynthID-based content provenance.

Product and service23 records
1Gemini
CategoryCore Foundation Model
Description

Google DeepMind's flagship family of frontier foundation models (Gemini 3.5 series, Gemini 3.1 Pro, Gemini 3.1 Flash-Lite, Gemini 3.1 Deep Think) that combine text, image, video, and audio understanding with agentic action capabilities for coding, reasoning, and long-horizon workflows.

2Gemini Omni
CategorySpecialized Generative Model
Description

Multimodal generative model that creates video from any combination of inputs (text, image, video, audio), with world understanding, multi-turn editing, motion/style transfer, and real-world physics grounding. Outputs are watermarked with SynthID and C2PA Content Credentials.

3Nano Banana (Gemini Image)
CategorySpecialized Generative Model
Description

Family of native multimodal image generation and editing models (Nano Banana 2 built on Gemini 3.1 Flash Image; Nano Banana Pro built on Gemini 3 Pro Image) that capture prompt nuance through deep language understanding and support conversational, multimodal image creation.

4Gemini Audio
CategorySpecialized Generative Model
Description

Audio model family including 3.1 Flash Live (low-latency live dialogue), 3.5 Live Translate (real-time speech-to-speech translation across 70+ languages), and 3.1 Flash TTS (expressive speech generation with intonation/inflection control), all with SynthID watermarking.

5Veo
CategorySpecialized Generative Model
Description

Leading video generation model family (Veo 3.1) producing cinematic video with native audio (sound effects, ambient noise, dialogue), 1080p/4K resolution, and creative controls including reference images, style transfer, character consistency, scene extension, and camera/object controls.

6Imagen
CategorySpecialized Generative Model
Description

Google DeepMind's leading text-to-image model for generating high-quality images from text prompts.

7Lyria
CategorySpecialized Generative Model
Description

Music generation model (Lyria 3) that composes music with vocals and supports experimentation with acoustic details and real-time collaboration.

8Genie 3
CategoryWorld / Embodied AI Model
Description

World model that generates and explores interactive 3D worlds, representing a new frontier for world models that simulate environments.

9Gemini Robotics
CategoryEmbodied AI Model
Description

Most advanced vision-language-action model for embodied AI, enabling robots to perceive, reason, use tools, and interact with the physical world.

10Gemma
CategoryOpen Model
Description

Open model family (Gemma 4, including the 12B encoder-free multimodal variant) built to maximize intelligence-per-parameter, designed for responsible AI applications at scale and available via Google AI Studio.

11Gemini Embedding
CategorySpecialized Model
Description

State-of-the-art multimodal embedding model (Gemini Embedding 2) for semantic search and RAG workflows, available via the Gemini API and Google Cloud Vertex AI.

12SynthID
CategoryPlatform Tool
Description

Watermarking technology that embeds imperceptible digital signatures in content (images, audio, video, text) generated by Google's AI models to identify AI-generated content; outputs from Omni, Veo, Gemini Audio, and Gemini Image are automatically marked with SynthID and C2PA Content Credentials.

13AlphaFold
CategoryScientific AI Model
Description

AI system that predicts protein 3D structures with high accuracy from amino acid sequences; AlphaFold 2 solved the long-standing protein structure prediction problem and has predicted over 200 million structures available via the AlphaFold Protein Structure Database.

14WeatherNext
CategoryScientific AI Model
Description

Fast and accurate AI weather forecasting model for predicting atmospheric conditions.

15AlphaEarth
CategoryScientific AI Model
Description

Satellite-data foundation model that maps the planet in unprecedented detail using geospatial AI.

16AlphaEvolve
CategoryScientific AI Model
Description

Gemini-powered coding agent that designs advanced algorithms for math and computing applications.

17AlphaGenome
CategoryScientific AI Model
Description

AI model for better understanding the human genome.

18SIMA 2
CategoryResearch Agent
Description

An agent that plays, reasons, and learns with humans in virtual 3D worlds, representing a generalist embodied agent.

19Co-Scientist
CategoryResearch Agent
Description

A multi-agent AI research partner designed to accelerate scientific research by collaborating with researchers.

20Gemini app
CategoryConsumer Product
Description

Consumer chat application providing access to Gemini models for productivity and creativity use cases.

21Google AI Studio
CategoryDeveloper Platform
Description

Developer environment to build with next-generation Gemini models and tools, providing the fastest path from prompt to production.

22Google Antigravity
CategoryDeveloper Platform
Description

AI-first agentic development platform that allows anyone to be a builder; Antigravity 2.0 released in May 2026.

23Gemini Enterprise Agent Platform
CategoryEnterprise Platform
Description

Enterprise platform on Google Cloud for building, scaling, and governing AI agents across business workflows.

Scale indicator11 records

Each record includes

Type, Value, Description, Source

Partnership8 partners
Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2026-06-22
Description

Multi-year, nonexclusive AI research partnership announced June 22, 2026, backed by an approximately $75 million equity investment from Alphabet/Google (roughly a 2% stake at A24's $3.5 billion 2024 valuation). The arrangement develops AI tools for film production — including AI-generated storyboards and production planning — with researchers working alongside A24 artists. A24 retains full creative control; the deal explicitly excludes any transfer of A24's film/TV library or use of content for AI training.

Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2026-06-17
Description

Multi-year strategic partnership announced at Google Cloud Summit London 2026 with Google Cloud and Google DeepMind to deploy AI capabilities across HSBC's global operations, targeting over 200 new AI use cases over two years. Each priority initiative is estimated to return more than US$100 million in revenue gains or efficiency improvements. Focus areas: hyper-personalized wealth management, financial crime risk management (monitoring nearly 1 billion monthly transactions), and AI-empowered frontline staff.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-06-17
Description

Collaboration with Google Cloud, Google DeepMind, and Faculty to develop the Augmented Planning Decisions (APD) AI tool, currently being alpha-tested with Barnet Council, Dorset Council, and Camden Council, with plans for national deployment from 2027. MHCLG and i.AI incubator are also rolling out Extract AI to all councils in England using DeepMind's Gemini and Meta's Segment Anything Model.

4Darren Aronofsky's Primordial Soup
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Partnership shaping Veo's capabilities to open new possibilities for cinematic storytelling. Primordial Soup is using Veo to explore new filmmaking techniques — including how to integrate live-action footage with Veo-generated video — and has produced three short films with emerging filmmakers through the partnership.

deepmind.google
Strategic tierCoreTypeTechnology or Integration
Description

Google Cloud serves as the primary enterprise distribution and infrastructure partner for DeepMind models, including the Gemini Enterprise Agent Platform. DeepMind engineering teams work alongside Google Cloud forward-deployed engineers on enterprise deals like HSBC. DeepMind models are accessible via Google Cloud's model garden and Gemini Enterprise Agent Platform.

Strategic tierMinorTypeImplementation/ SI/ Consulting Partner
Description

Faculty (acquired by Accenture) is collaborating with Google Cloud, Google DeepMind, and MHCLG on the Augmented Planning Decisions (APD) AI tool for UK council planning applications.

715 European robotics startups
Strategic tierCoreTypeOthers
Description

Google DeepMind launched an AI robotics accelerators program supporting 15 European robotics startups through mentorship, technical resources, and access to advanced AI tools. The initiative spans manufacturing, healthcare, logistics, construction, and industrial automation, bridging AI research and real-world deployment.

trendhunter.com
8U.S. Government (voluntary AI safety framework)
Strategic tierCoreTypeOthers
Description

Google DeepMind is among major AI companies (with OpenAI, Anthropic, Microsoft, xAI) that have committed to providing early access to frontier models for U.S. national security evaluations under the Trump administration's voluntary framework established by a June 2 executive order, before wider deployment.

thehindu.com
Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeEmerging player
Description

European frontier/open-weight lab offering competitive open and commercial models with strong enterprise traction. Competes with Gemma and Gemini Flash in cost-efficient inference and with European sovereignty buyers.

TypeDirect peer
Description

Direct competitor in frontier models (Claude family) and AI agent safety. Poached DeepMind VP John Jumper and researchers Adler and Pritzel, and competes head-to-head for enterprise agent deals on AWS Bedrock and Google Cloud.

TypeDirect peer
Description

Elon Musk's frontier AI lab (Grok models) and a participant in the same U.S. voluntary AI safety framework as DeepMind. Competes for top research talent and direct-to-consumer AI share via the X platform.

TypeBroad incumbent
Description

Distributes OpenAI models via Azure and Copilot, and is a participant in the U.S. voluntary AI safety framework. Competes with the Gemini Enterprise Agent Platform on Google Cloud for enterprise agent workloads.

TypeEmerging player
Description

Enterprise-focused foundation model provider offering Command, Embed, and RAG products. Competes with Gemini Embedding and Gemini API for enterprise NLP and retrieval workloads, especially in regulated industries.

TypeDirect peer
Description

Direct competitor in the frontier foundation-model race, offering GPT/ChatGPT, the OpenAI API, and the Operator agent platform. Both labs target enterprise and developer customers with comparable multimodal, agentic, and reasoning capabilities.

TypeDirect peer
Description

Develops the Llama open-weight family and the Segment Anything Model (jointly used with DeepMind in the UK Extract AI tool). Competes with Gemma as an open-model alternative and with closed frontier models via Meta AI assistants.

TypeEmerging player
Description

AI-native answer engine built on top of multiple frontier models. Competes with Gemini-in-Google-Search AI Mode for consumer search and information-retrieval use cases.

TypeRegional player
Description

China-based frontier AI lab with ERNIE foundation models and AI Cloud. Competes regionally with DeepMind's Asia-neutral Singapore hub in the Chinese enterprise and government markets.

TypeBroad incumbent
Description

Hosts Anthropic Claude on Bedrock and offers its own Titan models, competing with Gemini on Google Cloud for enterprise AI infrastructure and managed model services.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

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Headline, Details, Source

Competitive moat8 records

Each record includes

Type, Details

Key risks6 records

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Headline, Details, Source

Key highlights7 records

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Headline, Details, Source

Customer concentration

Classification, Details

Named customers22 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment7 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile7 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration1 record

Each record includes

Title, Type, Description, Source

AI capability17 records

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Type, Description, Source

AI maturity
App detail

Has app

Feature17 records

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Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles5 records

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Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries1 record

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Name, Acquired on, Relationship type, Type, Business focus

No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds1 record

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors2 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A3 records

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment9 records

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Google DeepMind

Artificial Intelligence Foundation Modelsdeepmind.google

Google DeepMind is Alphabet's AI research division building frontier multimodal foundation models (Gemini 3.5), generative media (Veo, Imagen, Lyria), and scientific AI (AlphaFold) for global enterprises, developers, consumers, and scientists.

What Google DeepMind does

Google DeepMind is the AI research and product division of Alphabet Inc., headquartered in London (with a new 330-metre King's Cross HQ) and Mountain View, and operated through regional hubs including Singapore. Originally founded in 2010 as DeepMind, acquired by Google in 2014 for approximately $500 million, and merged with Google Brain in April 2023, the organization builds next-generation AI systems spanning the Gemini 3.5 family of natively multimodal foundation models (Flash, Pro, Deep Think, Flash-Lite), generative media models (Veo 3.1, Imagen, Lyria 3, Gemini Omni, Gemini Image/Nano Banana, Gemini Audio), world and embodied AI (Genie 3, Gemini Robotics, SIMA 2), open models (Gemma 4), and scientific AI systems (AlphaFold, AlphaGenome, AlphaEarth, WeatherNext, AlphaEvolve, Co-Scientist). These capabilities were validated by the 2024 Nobel Prize in Chemistry awarded to Demis Hassabis and John Jumper for AlphaFold, which has predicted more than 200 million protein structures.

The organization serves four primary customer sets: global financial institutions led by HSBC's multi-year partnership covering 200+ AI use cases; software developers and developer-tools platforms including GitHub, Cursor, Replit, JetBrains, and Figma; large enterprise SaaS and data platforms such as Salesforce, Shopify, Box, Databricks, Xero, and Thomson Reuters; and mass-market consumers via the Gemini app, Google Search AI Mode, Workspace, YouTube, and creative tools like Google Flow. Distribution is API-first through ai.google.dev and Google AI Studio, complemented by the Gemini Enterprise Agent Platform on Google Cloud, OEM/embedded integrations across Alphabet products and third-party SaaS, and consumer subscription.

Monetization spans subscription (Gemini app Google AI subscription), usage-based API billing, multi-year enterprise platform contracts (e.g., HSBC), and strategic equity investments such as the $75 million Alphabet stake in A24. As a wholly owned Alphabet division, DeepMind is funded by its parent and does not disclose standalone revenue. Recent notable activities include the publication of a 35-page AI Control Roadmap for AI agent security, a UK government partnership on AI-accelerated planning tools, the launch of Gemini 3.5 and Veo 3.1, and the opening of new offices in Singapore and London, set against high-profile talent departures to Anthropic and OpenAI in mid-2026.

Google DeepMind firmographics

Firmographics
Name
Google DeepMind
Legal name
Google DeepMind
Website
https://deepmind.google
Company type
Private
Founded year
2010
Operating status
Operating
Headcount range
5,001–10,000 employees
Short description
Google DeepMind is Alphabet's AI research division building frontier multimodal foundation models (Gemini 3.5), generative media (Veo, Imagen, Lyria), and scientific AI (AlphaFold) for global enterprises, developers, consumers, and scientists.
Ownership category
akta.pro rank

Google DeepMind industry classification

Industry
Product category
Artificial Intelligence Foundation Models
NAICS
Software Publishers (51321), Computer Systems Design and Related Services (54151)
SIC
Services-Computer Integrated Systems Design (7373), Services-Computer Programming Services (7371)
akta.pro primary industry
End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
akta.pro secondary industries
Enterprise Foundation Model Integration & APIs (Connectors, Governance, Deployment) (HDAAACAO), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)

Keywords

  • Foundation AI models
  • Generative AI platforms
  • Multimodal AI systems
  • Enterprise AI agents
  • AI research services

Where Google DeepMind is headquartered

Location

Headquarters

HQ city
London
HQ country
United Kingdom
HQ region
Europe

Offices4 records

Markets served

Google DeepMind business model

Business model
GTM type
B2B and B2C
Offering type
Software
Cost components
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

  1. Consumer subscription (Gemini app): Google AI subscription required for premium Gemini app features; tiered pricing with features varying by tier and geography.
  2. API / usage-based developer access: Revenue from Gemini API (ai.google.dev) billed on usage (tokens/compute) for developers integrating Gemini, Imagen, Veo, Lyria, Gemma, and other models into applications.
  3. Enterprise AI platform contracts: Multi-year enterprise agreements via Google Cloud and the Gemini Enterprise Agent Platform, exemplified by the HSBC partnership targeting over 200 AI use cases with each initiative estimated to return more than US$100 million in revenue or efficiency gains for the customer.
  4. Strategic equity investments: Strategic equity stakes in aligned companies, such as Alphabet/Google's $75 million investment in A24 (approximately a 2% stake at a $3.5 billion valuation).

Pricing tiers

ModelBillingPrice
SubscriptionMonthlyGoogle AI subscription (Gemini app) — required for premium features
Usage-basedPay-as-you-goGemini API — usage-based billing
OtherMulti-year contractGemini Enterprise Agent Platform — multi-year enterprise contracts
FreemiumMonthlyFreemium access via Google AI Studio and Gemini app entry tier

Go-to-market motion5 records

Distribution channels9 records

Marketing channels11 records

Google DeepMind product offering

Product offering

Core offering

Google DeepMind researches and builds frontier AI systems — primarily the Gemini family of multimodal foundation models — and delivers them to consumers via the Gemini app, to developers via Google AI Studio, the Gemini API and Google Antigravity, and to enterprises via the Gemini Enterprise Agent Platform on Google Cloud. The portfolio extends into scientific AI (AlphaFold, AlphaGenome, AlphaEarth, WeatherNext, AlphaEvolve, Co-Scientist), generative media (Veo, Imagen, Lyria, Gemini Audio, Gemini Omni, Nano Banana), world and embodied AI (Genie 3, Gemini Robotics, SIMA 2), open models (Gemma), and provenance tooling (SynthID).

Product overview

Google DeepMind operates a unified AI research and product portfolio built around its flagship Gemini family of foundation models, which serves as the central platform layered with specialized models and tools. The Gemini 3.5 family (Pro, Flash, Flash-Lite, Deep Think) powers core text, reasoning, and agentic capabilities, while the broader portfolio spans Gemini Omni (multimodal video generation), Gemini Image / Nano Banana (image generation), Gemini Audio (live dialogue, TTS, and real-time translation), Veo (cinematic video with audio), Imagen (text-to-image), Lyria (music), Gemma (open models), SynthID (watermarking), and Gemini Robotics / Genie 3 (world models and embodied AI). On the science side, AlphaFold, AlphaEarth, WeatherNext, AlphaEvolve, and AlphaGenome apply foundation-model techniques to scientific discovery. These models are consumed through consumer products (the Gemini app), developer surfaces (Google AI Studio, Google Antigravity, the Gemini API / Gemini Live API), and the Gemini Enterprise Agent Platform for enterprise agent deployment. The company's mission is to build AI responsibly to benefit humanity, with an accompanying Responsibility & Safety program that includes the AI Control Roadmap, multi-agent safety research, and SynthID-based content provenance.

Differentiator

Problem solved

Functional benefit

Brands

  • Gemini: Frontier AI model family and conversational assistant
  • AlphaFold
  • Veo
  • Imagen
  • Lyria
  • Gemma
  • SynthID
  • Genie
  • Gemini Robotics
  • WeatherNext
  • AlphaEvolve
  • AlphaEarth

Products and services

  • Gemini Google DeepMind's flagship family of frontier foundation models (Gemini 3.5 series, Gemini 3.1 Pro, Gemini 3.1 Flash-Lite, Gemini 3.1 Deep Think) that combine text, image, video, and audio understanding with agentic action capabilities for coding, reasoning, and long-horizon workflows.
  • Gemini Omni Multimodal generative model that creates video from any combination of inputs (text, image, video, audio), with world understanding, multi-turn editing, motion/style transfer, and real-world physics grounding. Outputs are watermarked with SynthID and C2PA Content Credentials.
  • Nano Banana (Gemini Image) Family of native multimodal image generation and editing models (Nano Banana 2 built on Gemini 3.1 Flash Image; Nano Banana Pro built on Gemini 3 Pro Image) that capture prompt nuance through deep language understanding and support conversational, multimodal image creation.
  • Gemini Audio Audio model family including 3.1 Flash Live (low-latency live dialogue), 3.5 Live Translate (real-time speech-to-speech translation across 70+ languages), and 3.1 Flash TTS (expressive speech generation with intonation/inflection control), all with SynthID watermarking.
  • Veo Leading video generation model family (Veo 3.1) producing cinematic video with native audio (sound effects, ambient noise, dialogue), 1080p/4K resolution, and creative controls including reference images, style transfer, character consistency, scene extension, and camera/object controls.
  • Imagen Google DeepMind's leading text-to-image model for generating high-quality images from text prompts.
  • Lyria Music generation model (Lyria 3) that composes music with vocals and supports experimentation with acoustic details and real-time collaboration.
  • Genie 3 World model that generates and explores interactive 3D worlds, representing a new frontier for world models that simulate environments.
  • Gemini Robotics Most advanced vision-language-action model for embodied AI, enabling robots to perceive, reason, use tools, and interact with the physical world.
  • Gemma Open model family (Gemma 4, including the 12B encoder-free multimodal variant) built to maximize intelligence-per-parameter, designed for responsible AI applications at scale and available via Google AI Studio.
  • Gemini Embedding State-of-the-art multimodal embedding model (Gemini Embedding 2) for semantic search and RAG workflows, available via the Gemini API and Google Cloud Vertex AI.
  • SynthID Watermarking technology that embeds imperceptible digital signatures in content (images, audio, video, text) generated by Google's AI models to identify AI-generated content; outputs from Omni, Veo, Gemini Audio, and Gemini Image are automatically marked with SynthID and C2PA Content Credentials.
  • AlphaFold AI system that predicts protein 3D structures with high accuracy from amino acid sequences; AlphaFold 2 solved the long-standing protein structure prediction problem and has predicted over 200 million structures available via the AlphaFold Protein Structure Database.
  • WeatherNext Fast and accurate AI weather forecasting model for predicting atmospheric conditions.
  • AlphaEarth Satellite-data foundation model that maps the planet in unprecedented detail using geospatial AI.
  • AlphaEvolve Gemini-powered coding agent that designs advanced algorithms for math and computing applications.
  • AlphaGenome AI model for better understanding the human genome.
  • SIMA 2 An agent that plays, reasons, and learns with humans in virtual 3D worlds, representing a generalist embodied agent.
  • Co-Scientist A multi-agent AI research partner designed to accelerate scientific research by collaborating with researchers.
  • Gemini app Consumer chat application providing access to Gemini models for productivity and creativity use cases.
  • Google AI Studio Developer environment to build with next-generation Gemini models and tools, providing the fastest path from prompt to production.
  • Google Antigravity AI-first agentic development platform that allows anyone to be a builder; Antigravity 2.0 released in May 2026.
  • Gemini Enterprise Agent Platform Enterprise platform on Google Cloud for building, scaling, and governing AI agents across business workflows.

Quantifiable outcome

  • 42% better than Flash 3 on Armadin's long-range multi-turn cyber benchmark, with 68% improvement in token efficiency
  • +6 more outcomes

Companies that use Google DeepMind

Customer profile

Named customers22 records

Segments7 records

Ideal customer profiles7 records

Google DeepMind technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability17 records

Feature17 records

Google DeepMind partnerships and signals

Strategic signal

Partnerships

Eight partnerships are on record, tiered flagship, core and minor.

  • A24flagshipStrategic or Co-development Partner · 22 June 2026Multi-year, nonexclusive AI research partnership announced June 22, 2026, backed by an approximately $75 million equity investment from Alphabet/Google (roughly a 2% stake at A24's $3.5 billion 2024 valuation). The arrangement develops AI tools for film production — including AI-generated storyboards and production planning — with researchers working alongside A24 artists. A24 retains full creative control; the deal explicitly excludes any transfer of A24's film/TV library or use of content for AI training.
  • HSBCflagshipStrategic or Co-development Partner · 17 June 2026Multi-year strategic partnership announced at Google Cloud Summit London 2026 with Google Cloud and Google DeepMind to deploy AI capabilities across HSBC's global operations, targeting over 200 new AI use cases over two years. Each priority initiative is estimated to return more than US$100 million in revenue gains or efficiency improvements. Focus areas: hyper-personalized wealth management, financial crime risk management (monitoring nearly 1 billion monthly transactions), and AI-empowered frontline staff.
  • UK Ministry of Housing, Communities and Local Government (MHCLG)coreStrategic or Co-development Partner · 17 June 2026Collaboration with Google Cloud, Google DeepMind, and Faculty to develop the Augmented Planning Decisions (APD) AI tool, currently being alpha-tested with Barnet Council, Dorset Council, and Camden Council, with plans for national deployment from 2027. MHCLG and i.AI incubator are also rolling out Extract AI to all councils in England using DeepMind's Gemini and Meta's Segment Anything Model.
  • Darren Aronofsky's Primordial SoupcoreStrategic or Co-development PartnerPartnership shaping Veo's capabilities to open new possibilities for cinematic storytelling. Primordial Soup is using Veo to explore new filmmaking techniques — including how to integrate live-action footage with Veo-generated video — and has produced three short films with emerging filmmakers through the partnership.
  • Google CloudcoreTechnology or IntegrationGoogle Cloud serves as the primary enterprise distribution and infrastructure partner for DeepMind models, including the Gemini Enterprise Agent Platform. DeepMind engineering teams work alongside Google Cloud forward-deployed engineers on enterprise deals like HSBC. DeepMind models are accessible via Google Cloud's model garden and Gemini Enterprise Agent Platform.
  • Accenture (Faculty)minorImplementation/ SI/ Consulting PartnerFaculty (acquired by Accenture) is collaborating with Google Cloud, Google DeepMind, and MHCLG on the Augmented Planning Decisions (APD) AI tool for UK council planning applications.
  • 15 European robotics startupscoreOthersGoogle DeepMind launched an AI robotics accelerators program supporting 15 European robotics startups through mentorship, technical resources, and access to advanced AI tools. The initiative spans manufacturing, healthcare, logistics, construction, and industrial automation, bridging AI research and real-world deployment.
  • U.S. Government (voluntary AI safety framework)coreOthersGoogle DeepMind is among major AI companies (with OpenAI, Anthropic, Microsoft, xAI) that have committed to providing early access to frontier models for U.S. national security evaluations under the Trump administration's voluntary framework established by a June 2 executive order, before wider deployment.

Scale indicators11 records

Recent moves6 records

Expansion highlights6 records

Google DeepMind competitors and assessment

Company assessment

Emerging players

  • Mistral AI: European frontier/open-weight lab offering competitive open and commercial models with strong enterprise traction. Competes with Gemma and Gemini Flash in cost-efficient inference and with European sovereignty buyers.
  • Cohere: Enterprise-focused foundation model provider offering Command, Embed, and RAG products. Competes with Gemini Embedding and Gemini API for enterprise NLP and retrieval workloads, especially in regulated industries.
  • Perplexity AI: AI-native answer engine built on top of multiple frontier models. Competes with Gemini-in-Google-Search AI Mode for consumer search and information-retrieval use cases.

Direct peers

  • Anthropic: Direct competitor in frontier models (Claude family) and AI agent safety. Poached DeepMind VP John Jumper and researchers Adler and Pritzel, and competes head-to-head for enterprise agent deals on AWS Bedrock and Google Cloud.
  • xAI: Elon Musk's frontier AI lab (Grok models) and a participant in the same U.S. voluntary AI safety framework as DeepMind. Competes for top research talent and direct-to-consumer AI share via the X platform.
  • OpenAI: Direct competitor in the frontier foundation-model race, offering GPT/ChatGPT, the OpenAI API, and the Operator agent platform. Both labs target enterprise and developer customers with comparable multimodal, agentic, and reasoning capabilities.
  • Meta AI (FAIR): Develops the Llama open-weight family and the Segment Anything Model (jointly used with DeepMind in the UK Extract AI tool). Competes with Gemma as an open-model alternative and with closed frontier models via Meta AI assistants.

Broad incumbents

  • Microsoft AI: Distributes OpenAI models via Azure and Copilot, and is a participant in the U.S. voluntary AI safety framework. Competes with the Gemini Enterprise Agent Platform on Google Cloud for enterprise agent workloads.
  • Amazon (AWS AI / Bedrock / Anthropic): Hosts Anthropic Claude on Bedrock and offers its own Titan models, competing with Gemini on Google Cloud for enterprise AI infrastructure and managed model services.

Regional players

  • Baidu (ERNIE / Baidu AI Cloud): China-based frontier AI lab with ERNIE foundation models and AI Cloud. Competes regionally with DeepMind's Asia-neutral Singapore hub in the Chinese enterprise and government markets.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat8 records

Key risks6 records

Key highlights7 records

Customer concentration

Google DeepMind social profiles

Digital presence

Google DeepMind financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Google DeepMind leadership team

Management profile

Number of profiles

Profiles5 records

Google DeepMind subsidiaries and ownership

Company hierarchy

Subsidiaries1 record

Google DeepMind funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors2 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Google DeepMind M&A and investment

M&A and investment

M&A3 records

Investments9 records

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Google DeepMind

What does Google DeepMind do?

Google DeepMind researches and builds frontier AI systems — primarily the Gemini family of multimodal foundation models — and delivers them to consumers via the Gemini app, to developers via Google AI Studio, the Gemini API and Google Antigravity, and to enterprises via the Gemini Enterprise Agent Platform on Google Cloud. The portfolio extends into scientific AI (AlphaFold, AlphaGenome, AlphaEarth, WeatherNext, AlphaEvolve, Co-Scientist), generative media (Veo, Imagen, Lyria, Gemini Audio, Gemini Omni, Nano Banana), world and embodied AI (Genie 3, Gemini Robotics, SIMA 2), open models (Gemma), and provenance tooling (SynthID).

Is Google DeepMind a public or private company?

Google DeepMind is a private company. It is classified as corporate owned and is currently operating.

When was Google DeepMind founded?

Google DeepMind was founded in 2010. It employs 5,001 to 10,000 people.

Where is Google DeepMind based?

Google DeepMind is headquartered in London, United Kingdom, in the Europe region.

How does Google DeepMind make money?

Four revenue lines are on record. Consumer subscription (Gemini app) is the primary driver. The others are API / usage-based developer access, enterprise AI platform contracts and strategic equity investments.

Who are Google DeepMind's main competitors?

Emerging players on record are Mistral AI, Cohere and Perplexity AI. Direct peers are Anthropic, xAI, OpenAI and Meta AI (FAIR). Broad incumbents are Microsoft AI and Amazon (AWS AI / Bedrock / Anthropic). Baidu (ERNIE / Baidu AI Cloud) is listed as a regional player.

Does Google DeepMind have an API?

Yes. Google DeepMind offers public APIs through Google AI's developer platform, including the Gemini API (for building with Gemini models), the Gemini Live API (for low-latency real-time voice and video interactions), and the Gemma API/SDK (for open models). The APIs are publicly available to developers and can be accessed via Google AI Studio, the Gemini Enterprise Agent Platform, and Google Antigravity. Documentation covers text generation, image generation, video generation, speech generation, live dialogue, audio understanding, and embedding use cases. Developer documentation is at ai.google.dev/gemini-api/docs/models.

What industry is Google DeepMind in?

Google DeepMind's product category is Artificial Intelligence Foundation Models. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAAACAO, Enterprise Foundation Model Integration & APIs (Connectors, Governance, Deployment). Its NAICS code is 51321 and its SIC code is 7373.

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Live signals
Business StandardThe deep mind of Demis HassabisSebastian Mallaby's book 'The Infinity Machine' details Demis Hassabis's life, DeepMind's founding, and its AI achievements, including AlphaGo and protein folding. Hassabis won the 2024 Nobel Prize in Chemistry for his work on protein structures. The book also covers corporate battles and ethical debates in AI.AfrotechWhat Does Hollywood's Growing Embrace Of AI Means For Black Filmmakers And Producers?Google DeepMind invested $75 million in A24 for AI filmmaking tools, with a nonexclusive research collaboration. Black filmmaker Lamar Richardson expressed fear, warning that AI could become a "catastrophic monster" and urging equitable access for Black creators in studio decision-making.CityAMGoogle DeepMind’s London AI drug spinout eyes $50bn valuationIsomorphic Labs, a Google DeepMind spinout, is seeking up to $50bn in fresh funding, with talks at least $40bn. The company, led by Demis Hassabis, has raised $2.7bn and targets its first clinical trials by end of 2026. It has not yet tested its own drug candidates in humans.YahooWhat Does Hollywood’s Growing Embrace Of AI Means For Black Filmmakers And Producers?Google DeepMind invested $75 million in A24 to build AI tools for filmmakers, with a nonexclusive research collaboration. Producer Lamar Richardson expressed fear that AI could become a "catastrophic monster" cutting out historically necessary departments. He argues Black creators must be key decision-makers to ensure equitable access.Naver"AI로 질병 예방"...미 정부·구글, 저커버그의 바이오허브에 합류Meta, Google DeepMind, Isomorphic Labs, the US DOE, and NIH joined BioHive's Virtual Biology Initiative, investing $1.8 billion. Meta and Google contributed $300 million, while DOE and NIH each put in $500 million. The initiative aims to develop AI models predicting cell responses to accelerate drug development and disease prevention.Naver“AI로 신약 개발 단축·질병 예방”…미국 정부·구글, AI 바이오 프로젝트 투자Meta, Google DeepMind, Isomorphic Labs, and US agencies invested $1.8 billion in the Virtual Biology Initiative led by BioHub. The funding aims to develop AI models to shorten drug development and enable disease prevention. BioHub expects a precise prediction model within five years.Pulse 2.0Biohub, DOE, NIH And Partners Commit $1.8 Billion To Build AI-Ready Biology DataBiohub, DOE, NIH, and private partners announced a $1.8B commitment to build foundational biological data for predictive AI models. DOE will invest over $500M over five years, NIH will coordinate datasets from prior investments, and Google DeepMind, Isomorphic Labs, and Meta will contribute $300M. The initiative aims to create virtual cell models for digital experiments.FirstpostZuckerberg teams with Google on $300 million push to map cellsGoogle DeepMind, Meta, and Isomorphic Labs are investing $300 million in Biohub to build a Universal Virtual Cell for virtual biological experiments. The project, backed by $1.8 billion total, aims to map cellular biology and predict disease mechanisms, with the first phase creating a broad cellular map.News-MedicalMajor global alliance invests billions to build predictive AI models of biologyBiohub, DOE, NIH, and partners announced a $1.8B investment to build AI-ready biological data. DOE will contribute over $500M, NIH over $500M, and Google DeepMind, Isomorphic Labs, and Meta will invest $300M. The initiative aims to create open datasets for predictive models of life.Analytics InsightUS Government, Google Back Zuckerberg’s USD 1.8 Billion Biology AI InitiativeThe US government, Google, and Meta joined Zuckerberg-backed Biohub in a $1.8 billion Virtual Biology Initiative to build large-scale biological datasets for AI training. The project includes over $500 million from the Department of Energy and $300 million from Meta, Google DeepMind, and Isomorphic Labs, aiming to create predictive models of cellular behavior. The first dataset is expected in about a year.