Google DeepMind
Founded Year
2010Stage
Angel - II | AliveRevenue
$0000About Google DeepMind
Google DeepMind operates as an artificial intelligence (AI) research company focused on AI across various sectors. The company develops generative AI models for creating images, music, and videos, and conducts research in health, climate, and quantum computing. Google DeepMind was formerly known as DeepMind. It was founded in 2010 and is based in London, United Kingdom. In January 2014, Google DeepMind was acquired by Google at a valuation between $500M and $650M.
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ESPs containing Google DeepMind
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The humanoid robot foundation model developers market focuses on companies creating large-scale pre-trained AI models specifically designed for enhancing the cognitive and interactive abilities of humanoid robots. These specialized foundation models enable robots to perform complex perception, reasoning, and execution tasks in real-world environments across manufacturing, logistics, healthcare, an…
Google DeepMind named as Outperformer among 11 other companies, including Meta, Microsoft, and Baidu.
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Research containing Google DeepMind
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Google DeepMind in 10 CB Insights research briefs, most recently on Oct 30, 2025.
Oct 30, 2025
The top 100 European AI aerospace & defense startups
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Jul 14, 2023
The state of LLM developers in 6 chartsExpert Collections containing Google DeepMind
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Google DeepMind is included in 5 Expert Collections, including Grid and Utility.
Grid and Utility
2,383 items
Companies that are developing and implementing new technologies to optimize the grid and utility sector. This includes, but is not limited to, distributed energy resources, infrastructure security, utility asset management, grid inspection, energy efficiency, grid storage, etc.
Artificial Intelligence (AI)
16,593 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Advanced Manufacturing
4,526 items
Companies in the advanced manufacturing tech space, including companies focusing on technologies across R&D, mass production, or sustainability
Generative AI
2,951 items
Companies working on generative AI applications and infrastructure.
AI Agents & Copilots Market Map (August 2024)
322 items
Corresponds to the Enterprise AI Agents & Copilots Market Map: https://app.cbinsights.com/research/enterprise-ai-agents-copilots-market-map/
Google DeepMind Patents
Google DeepMind has filed 515 patents.
The 3 most popular patent topics include:
- artificial neural networks
- machine learning
- artificial intelligence
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
3/8/2023 | 4/8/2025 | Mathematical optimization, Artificial neural networks, Numerical differential equations, Optimization algorithms and methods, Artificial intelligence | Grant |
Application Date | 3/8/2023 |
|---|---|
Grant Date | 4/8/2025 |
Title | |
Related Topics | Mathematical optimization, Artificial neural networks, Numerical differential equations, Optimization algorithms and methods, Artificial intelligence |
Status | Grant |
Latest Google DeepMind News
Nov 3, 2025
"LLM, 사이버 범죄에 악용 가능"...빅테크, AI 보안 취약점 해결 집중 명령 신뢰성 구분 못하는 LLM…안정장치 무력화 가능성↑ 인터넷 입력 :2025/11/03 09:53 빅테크 기업들이 사이버 범죄자들에 의해 악용 여지가 있는 초거대 언어모델(LLM)의 핵심 보안 취약점을 해결하기 위한 노력을 강화하고 있다. 2일(현지시간) 파인내셜타임스 등 외신에 따르면 구글 딥마인드, 앤트로픽, 오픈AI, 마이크로소프트(MS) 등 빅테크들은 웹사이트나 이메일에 숨겨진 명령어를 통해 인공지능(AI) 모델이 기밀 정보 등 비인가 데이터를 노출하도록 속이는 ‘간접 프롬프트 인젝션’ 공격을 막기 위해 대응 중이다. 앤트로픽의 위협 정보팀을 이끄는 제이콥 클라인은 “현재 공격 체인의 모든 단계에서 AI가 사이버 공격자들에 의해 활용되고 있다”고 말했다. (사진=클립아트코리아) 빅테크들은 외부 테스터를 고용하거나 AI 기반 도구를 활용하는 등 다양한 기술을 사용해 강력한 기술이 악용되는 것을 탐지하고 줄이기 위해 노력하고 있다. 그러나 전문가들은 업계가 아직 간접 프롬프트 인젝션을 완전히 차단하는 방법을 찾지 못했다고 경고한 상황이다. LLM이 본질적으로 명령을 따르도록 설계돼 있어 사용자의 합법적인 명령과 신뢰할 수 없는 입력을 구분하지 못한다는 점이 문제의 핵심이다. 이는 사용자가 모델의 안전장치를 무력화하도록 유도하는 행동이 가능한 이유이기도 하다. 클라인은 앤트로픽이 외부 테스터들과 협력해 클로드 모델을 간접 프롬프트 인젝션 공격에 더욱 강하게 만들고 있다고 언급했다. 또 공격 발생 가능성을 탐지하는 AI 도구도 사용하고 있다고 덧붙였다. 그는 “악성 사용을 발견하면 신뢰 수준에 따라 자동 개입이 이뤄지거나 인적 검토로 넘어간다”고 설명했다. 구글 딥마인드는 ‘자동화된 레드티밍’ 기법을 활용한다. 자동화된 레드티밍 기법은 회사 내부 연구팀이 실제 공격과 유사한 방식으로 제미나이 모델을 지속적으로 공격해 취약점을 찾는 방식이다. 외부인이 악성 데이터를 학습 데이터에 삽입해 모델의 행동을 바꾸는 ‘데이터 포이즈닝’도 LLM의 또 다른 취약점이다. 앤 존슨 MS 부사장은 “수년간 공격자는 단 하나의 취약점을 찾으면 됐지만, 방어자는 모든 것을 지켜야 했다”며 “그러나 이제 방어 시스템이 더 빠르게 학습하고 적용하며 반응형에서 선제형으로 전환하고 있다”고 말했다. 기업들이 AI 도입을 확대함에 따라 AI 모델의 결함을 해결하려는 경쟁이 치열해지면서 사이버 보안은 기업의 최우선 우려 사항 중 하나로 부상하고 있다. 제이크 무어 ESET 글로벌 사이버 보안 고문은 “LLM 덕분에 해커들이 아직 탐지되지 않은 새로운 악성 코드를 빠르게 생성할 수 있어 방어가 더욱 어렵다”고 말했다. 매사추세츠공대(MIT) 연구에 따르면 조사된 랜섬웨어 공격의 80%가 AI를 활용했고, 지난해 피싱 및 딥페이크 관련 사기는 60% 증가했다 AI는 피해자의 온라인 정보를 수집하는 용도로도 사용된다. LLM은 SNS, 이미지, 음성 파일 등을 효율적으로 수집해 타깃을 분석할 수 있다. 관련기사
Google DeepMind Frequently Asked Questions (FAQ)
When was Google DeepMind founded?
Google DeepMind was founded in 2010.
Where is Google DeepMind's headquarters?
Google DeepMind's headquarters is located at Kings Cross, London.
What is Google DeepMind's latest funding round?
Google DeepMind's latest funding round is Angel - II.
Who are the investors of Google DeepMind?
Investors of Google DeepMind include Elon Musk, Google, Horizons Ventures, Founders Fund, Long Journey Ventures and 4 more.
Who are Google DeepMind's competitors?
Competitors of Google DeepMind include OpenAI, Mistral AI, xAI, Nnaisense, Anthropic and 7 more.
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Compare Google DeepMind to Competitors
Anthropic focuses on artificial intelligence (AI) safety and research within the AI sector. It offers AI models, including Opus, Sonnet, and Haiku, for various applications such as coding, customer support, and education. The company primarily serves sectors that require AI solutions, including technology, education, and customer service industries. It was founded in 2021 and is based in San Francisco, California.
AI.Tech is a startup studio and holding company involved in the artificial intelligence and machine learning sectors. The company offers services including customer acquisition, media buying, and ad-tech platform licensing, as well as supply-side advertising platforms utilizing natural language processing and machine learning. AI.Tech also provides infrastructure platforms for enterprise applications, mobile apps, and analytics with fraud detection solutions for web publishers. It was founded in 2022 and is based in Dubai, United Arab Emirates.
Letta specializes in developing AI agents within the technology sector. The company offers a platform that enables the creation, deployment, and management of AI agents with memory and reasoning capabilities, supported by a visual interface and APIs. Letta serves the artificial intelligence and machine learning industry. It was founded in 2024 and is based in San Francisco, California.
Sherlund Partners provides strategic advisory services to software companies navigating the transition to artificial intelligence (AI) native architectures. It specializes in research-driven insights and capital markets across the enterprise software and software as a service (SaaS) sectors. Sherlund Partners primarily targets public and private technology companies, investors, and acquirers seeking to reposition for AI-driven productivity and innovation. The firm was founded in 2024 and is based in Nantucket, Massachusetts.
Mistral AI focuses on the development of open-source artificial intelligence models in the technology sector. Its main offerings include efficient, adaptable artificial intelligence (AI) models that allow for full customization by users without requiring their data. Its models are primarily used in the technology industry. It was founded in 2023 and is based in Paris, France.
Lila Sciences focuses on scientific discovery through its scientific superintelligence platform within the life, chemical, and materials sciences domains. The company offers a platform that integrates AI with autonomous laboratories to design, conduct, observe, and redesign experiments, aiming to produce new scientific knowledge at a significant scale and accuracy. Lila Sciences primarily serves sectors that require scientific research and development capabilities. It was founded in 2022 and is based in Cambridge, Massachusetts.
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