Google Research
Drive breakthroughs that benefit society, businesses, and Google products through machine learning and generative AI research.
At a Glance
- Developers
- Enterprises
- Healthcare Organizations
- Government
- +1 more
AI Tools by Google Research
(2)
TimesFM
Time Series Forecasting Model
TensorFlow
Open Source ML Platform by Google
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Latest News
Alphabet reports record $402.8B revenue for 2025, driven by AI demand.
Google Research announces major updates to Google Earth AI for climate science.
Gemini 2.5 released with advanced reasoning and web-browsing agents.
Med-Gemini 2.0 sets new benchmarks in medical diagnostics.
Products & Services
A family of multimodal generative AI models (Pro, Ultra, Flash).
An open-source library for machine learning and deep neural networks.
A Python library for high-performance numerical computing and ML research.
Family of lightweight, state-of-the-art open models built from the same research as Gemini.
Market Position
Leader in AI research and infrastructure; pioneer of the Transformer architecture; leverages massive internal data and compute via Alphabet's global data centers.
Leadership
Founders
Jeff Dean
Joined Google in 1999; lead architect of Google's search and AI infrastructure; co-founder of Google Brain; currently Chief Scientist.
Sanjay Ghemawat
Joined Google in 1999; co-designed MapReduce, BigTable, and Spanner; Senior Google Fellow.
Executive Team
James Manyika
Senior VP, Research, Technology & Society
Leads Google Research and oversees Google's AI Principles and impact.
Jeff Dean
Chief Scientist, Google and Google DeepMind
Former head of Google AI; co-founder of Google Brain.
Board of Directors
Founding Story
Google Research evolved from the company's early academic roots at Stanford. Key architects like Jeff Dean and Sanjay Ghemawat joined in 1999 and built the infrastructure (MapReduce, BigTable) that allowed Google to scale, eventually formalizing R&D into a dedicated division to tackle long-term challenges in AI, systems, and science.
Business Model
Revenue Model
Research-to-Product pipeline; revenue via Google Search, Ads, and Google Cloud (Vertex AI/Gemini API).
Pricing Tiers
Basic access to Gemini models.
Access to Ultra/1.5 Pro models via Google One.
API usage based on tokens for developers and enterprises.
Target Markets
- Developers
- Enterprises
- Healthcare Organizations
- Government
- Academic Researchers
- Natural Language Processing
- Computer Vision
- Scientific Discovery
- Medical Diagnosis
- Predictive Analytics
- Mayo Clinic
- Standard Chartered
- Uber
- P&G