What AI says about DeepMind
DeepMind is an artificial intelligence research laboratory that develops models including AlphaFold for biology, Genie for 3D world generation, and SynthID for content watermarking. It comes up when buyers seek biology-specific foundation models, tools for generative 3D environments, and watermarking technology for AI-generated images.
Since Jul 5Updated Nov 11, 2026Based on 40,827 AI answers
Reviewed by Dimitry Apollonsky
<1%
of AI answers about DeepMind and its rivals · since Jul 5
Based on 40,827 AI answers
- ChatGPT<1%
- Google AI Mode<1%
How often AI mentions DeepMind
of AI answers about DeepMind and its rivals
- · ChatGPT switched to GPT-6 Luna
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Markets where AI mentions DeepMind
- Biopharma Research Platforms and ServicesOutside both engines’ top 25
- Smart Grid Energy Management PlatformsOutside both engines’ top 25
- Explainable AI & Model Monitoring PlatformsOutside both engines’ top 25
- Metaverse Virtual Event PlatformsOutside both engines’ top 25
- Quantum Computing & Analytics ProductsOutside both engines’ top 25
- RLHF Data Collection & Training PlatformsOutside both engines’ top 25
- AI Video Creation and DubbingOutside both engines’ top 25
- Media Rights Management SoftwareOutside both engines’ top 25
- AI Supply Chain Planning SoftwareOutside both engines’ top 25
- UI/UX Design AgenciesOutside both engines’ top 25
- AI Red Teaming ServicesOutside both engines’ top 25
- Edge AI Model Optimization ToolsOutside both engines’ top 25
Topics where AI mentions DeepMind
- Most mentionedMentioned in
- I am planning to use AI for material science. Who offers models trained on chemical properties?on this questionMicrosoft MatterGen shares the lead for mentions with 3 more14%
Excerpts where DeepMind appeared in the AI's answer
Google AI ModeJul 30, 2026, Google AI Mode DeepMind GNoME (Graph Networks for Materials Exploration): A model that has significantly accelerated materials discovery
Google AI ModeJul 18, 2026, Google AI Mode DeepMind (Google): Known for projects like AlphaFold (predicting protein structures) and GNoME (Graph Networks for Materials Exploration), which can predict new crystal structures.
- I am preparing to use generative AI for pharmaceutical discovery. Who provides biology-specific foundation models?on this questionIsomorphic Labs shares the lead for mentions with 2 more20%
- What products help R&D teams extract hypotheses from scientific literature and internal assay data?on this questionBenchling is the most-mentioned brand12%
Excerpts where DeepMind appeared in the AI's answer
Google AI ModeAug 16, 2026, Google AI Mode Google DeepMind's Co-Scientist / Specialized Agent Frameworks – Emerging multi-agent architectures (and specialized implementations like Clarisyn or academic prototypes) leverage teams of cooperative AI agents
Google AI ModeJul 23, 2026, Google AI Mode Google DeepMind's Co-Scientist: Acts as an agent-based system designed to review literature, generate hypotheses, and evaluate competing ideas, suitable for directing further research.
- where can i find ai forecasting tools?on this questionAnaplan shares the lead for mentions with 1 more5%
Excerpts where DeepMind appeared in the AI's answer
Google AI ModeAug 1, 2026, Google AI Mode Google DeepMind (GraphCast & WeatherNext 2) : Google's cutting-edge AI weather models outpace traditional supercomputer forecasts
- Our lab wants AI to propose molecules, design experiments, and learn from results. What discovery engines should we evaluate?on this questionInsilico Medicine shares the lead for mentions with 3 more7%
DeepMind in AI answers
Which AI-native discovery engines help researchers find papers, datasets, and hypotheses faster than keyword search?
Sites AI cites
- Your site18%
- Google DeepMind (opens in a new tab) · 6%
- Co-Scientist: A multi-agent AI partner to accelerate research — Google DeepMind (opens in a new tab) · 6%
- Millions of new materials discovered with deep learning — Google DeepMind (opens in a new tab) · 2%
- Genie 3: A new frontier for world models — Google DeepMind (opens in a new tab) · 1%
- AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents — Google DeepMind (opens in a new tab) · 1%
- WeatherNext 3 — Google DeepMind (opens in a new tab) · 1%
- 11%
- AI Image Generators Ranked from Worst to Best (2026) (opens in a new tab) · 1%
- A tool for watermarking and identifying AI-generated content (opens in a new tab) · 1%
- Can AI Do My Materials Simulations? (vibe ... (opens in a new tab) · 1%
- AI Doctor? Google's AlphaGenome Can Decodes Your ... (opens in a new tab) · 1%
- How to Build Physical AI Agents: Natural Language for Real ... (opens in a new tab) · 1%
- Adversarial Robustness and Forensics for Deep Neural Networks – Ben Y. Zhao (opens in a new tab) · 1%
- Edge AI and Vision in Robotics Panel: From Benchmarks to Fleet Scale Reality (Preview) (opens in a new tab) · 1%
- Open challenges in AI for molecular design (opens in a new tab) · 1%
- Storm Prediction Center utilizing AI to assist forecasters (opens in a new tab) · 1%
- AI Tools for Material Science - Eureka Materials (opens in a new tab) · 1%
- 5%
- Quantum circuit optimization with AlphaTensor | Nature Machine Intelligence (opens in a new tab) · 2%
- Artificial intelligence for quantum computing | Nature Communications (opens in a new tab) · 1%
- Accelerating scientific discovery with Co-Scientist | Nature (opens in a new tab) · 1%
- Embodied large language models enable robots to complete ... (opens in a new tab) · 1%
- 5%
- Checking your browser - reCAPTCHA (opens in a new tab) · 2%
- A Perspective on Foundation Models in Chemistry - PMC (opens in a new tab) · 1%
- Application of artificial intelligence in medical imaging for tumor ... (opens in a new tab) · 1%
- Artificial Intelligence for Autonomous Molecular Design: A Perspective - PMC (opens in a new tab) · 1%
- 3%
- Foundation Models in Robotics: Applications, Challenges, and the Future (opens in a new tab) · 1%
- Versatile Defense Against Adversarial Attacks on Image Recognition (opens in a new tab) · 1%
- CRAFT: Adapting VLA Models to Contact-rich Manipulation via Force-aware Curriculum Fine-tuning (opens in a new tab) · 1%
- 3%
- Shaping the Future of AI: UMD chemical and biomolecular engineer Po-Yen Chen developed a machine learning model that automates the design of sustainable aerogel materials for wearable heaters. Read more at the link in our bio. 🔗 (opens in a new tab) · 1%
- Gemini for Science is here. A collection of tools and experiments (opens in a new tab) · 1%
- One step closer to “ChatGPT for Earth” 🌎 Google ... (opens in a new tab) · 1%
