Kaggle
Kaggle is a Google-subsidiary AI and data science platform serving 32M+ builders, researchers, and labs through crowdsourced competitions, AI evaluation benchmarks (Game Arena, Community Benchmarks), and free datasets, notebooks, and models.
- Company typePrivate
- Founded2010
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B and B2C
- OfferingSoftware
What Kaggle does
Kaggle operates the world's largest AI and data science community platform, serving 32M+ builders, researchers, and labs across 190+ countries. The platform is structured around three interconnected product lines: competitions (33,000+ hosted historically, including Featured-tier engagements run on behalf of organizations like Google DeepMind, NVIDIA, IBM Research, XTX Markets, and The Pokémon Company); AI evaluation infrastructure (Game Arena, Community Benchmarks, FACTS Benchmark Suite, IBM Enterprise Ops Bench); and self-serve data science tooling (702K datasets, 1.8M notebooks with free GPU/TPU compute, 48,300 pre-trained models, and 70+ hours of free courses). Underlying technology is a cloud-based platform running on Google Cloud infrastructure, with an MCP Server and open-source Benchmarks SDK for AI-agent integration.
Kaggle's business model is freemium at the core: individuals access competitions, datasets, notebooks, models, and courses at no cost, generating engagement, content, and network effects. Paid monetization comes from Featured-tier competition hosting (transaction-fee model, multi-year contracts) where organizations pay for platform hosting, marketing support, and prize administration, plus Private Hackathons (annual subscription). The company does not publicly disclose revenue and operates as a wholly-owned subsidiary of Alphabet Inc., acquired by Google (with conflicting source dates of 2011 and 2017; 2017 is corroborated by the more specific ownership source). Customer segments split between AI Builders (data scientists and ML engineers, primary), Organizations hosting competitions and benchmarks (primary business unit), AI/ML Researchers (primary), and AI Learners (secondary). Recent strategic emphasis has shifted from competition hosting toward AI evaluation infrastructure, signaling a repositioning as the neutral benchmarking layer for frontier model evaluation.
Kaggle firmographics
Firmographics- Name
- Kaggle
- Legal name
- Kaggle Inc.
- Website
- https://kaggle.com
- Company type
- Private
- Founded year
- 2010
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Kaggle is a Google-subsidiary AI and data science platform serving 32M+ builders, researchers, and labs through crowdsourced competitions, AI evaluation benchmarks (Game Arena, Community Benchmarks), and free datasets, notebooks, and models.
- Ownership category
- akta.pro rank
Where Kaggle is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Kaggle business model
Business model- GTM type
- B2B and B2C
- Offering type
- Software
- Cost components
- Infrastructure, Technology or R&D, Personnel, Operations, Marketing or Sales
Revenue model
- Competition Prize Administration: Kaggle hosts competitions on behalf of organizations (Featured tier) that provide cash prizes for winners. Kaggle facilitates the platform, scoring infrastructure, and community access while organizations fund the prize pools. Featured competitions are promoted on Kaggle's homepage and through its marketing channels.
- Competition Hosting (Featured Tier): Organizations pay Kaggle to host Featured competitions that are highlighted on the platform homepage with marketing support, access to Kaggle's progression system, and real-time leaderboard scoring.
- Community & Research Competition Hosting (Free): Kaggle provides free Community tier competition hosting for educators, small businesses, and ML enthusiasts. Research tier competitions offer grants for academic and non-profit organizations. These tiers generate user engagement and platform stickiness rather than direct revenue.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Free | Community Tier - Free competition hosting for educators and ML enthusiasts |
| Freemium | Free | Research Tier - Free competition hosting for academic and non-profit organizations |
| Subscription | Multi-year contract | Featured Tier - Paid competition hosting for businesses with demanding ML problems |
| Subscription | Annual | Private Hackathons - Exclusive closed-door community hackathons for internal teams |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels6 records
Kaggle product offering
Product offeringCore offering
Kaggle operates a cloud-based AI evaluation and data science platform where individual data scientists, ML engineers, and researchers access 702K+ datasets, 1.8M+ public notebooks, and 48,300+ pre-trained models with free GPU/TPU compute. Organizations pay Kaggle to host Featured competitions to crowdsource ML solutions, while Community and Research tiers offer free competition hosting for educators, academics, and small businesses. The platform also offers AI model benchmarking through Kaggle Benchmarks and Kaggle Game Arena, plus free educational courses through Kaggle Learn.
Product overview
Kaggle is a comprehensive AI and data science platform comprising multiple integrated products. The core platform includes Competitions for predictive modeling challenges, Benchmarks for AI model evaluation, and Game Arena for strategic game-based AI assessment. Supporting infrastructure includes Datasets (702K+ datasets), Notebooks (cloud-based code execution with free GPU/TPU), Models (48,300+ pre-trained models), and Learn (educational courses with certificates). The platform has evolved to support community-driven competitions through Community Hackathons, offers programmatic access via the Kaggle API and MCP Server, and provides research support through its Grants Program. Together, these products form an end-to-end ecosystem for AI development, evaluation, and collaboration serving 32 million+ data scientists and ML practitioners.
Differentiator
Problem solved
Functional benefit
Brands
- Kaggle Learn: Free online courses offering hands-on learning with Python, machine learning, pandas, and other data science topics with signed certificates
- Kaggle Benchmarks
- Kaggle Game Arena
- Kaggle Community Hackathons
Products and services
- Kaggle Competitions Platform hosting predictive modeling and ML challenges for data scientists and ML practitioners, sponsored by organizations worldwide, with real-time leaderboards, automated scoring, discussion forums, and prize awards.
- Kaggle Benchmarks Open platform for creating, running, and tracking custom AI evaluation benchmarks with crowdsourced leaderboards, including enterprise and research benchmarks from Google, IBM Research, and the research community.
- Kaggle Game Arena Public AI benchmarking platform enabling AI models to compete in strategic games (chess, poker, werewolf) to evaluate reasoning, social dynamics, and risk management under imperfect information.
- Kaggle Datasets Repository of over 702,000 high-quality public datasets spanning diverse domains, enabling data scientists to discover, download, and incorporate datasets into ML workflows.
- Kaggle Notebooks Cloud-based Jupyter notebook environment providing free GPU and TPU compute for running Python and R code, with 1.8M+ public notebooks and seamless integration into competition submissions.
- Kaggle Models Repository of 48,300+ pre-trained, ready-to-deploy ML models (including Gemma, DeepSeek R1, Llama 2) that users can discover, compare, and deploy for inference directly on the platform.
- Kaggle Learn Free educational platform offering signed certificates for completing courses in Python, machine learning, pandas, and deep learning, with hands-on exercises and 70+ hours of content.
- Kaggle Community Hackathons Feature enabling anyone (universities, startups, research labs) to create and host AI competitions on Kaggle with prize pools up to $10,000.
- Kaggle API Public Python API enabling programmatic access to Kaggle competitions, datasets, models, and notebooks, with authentication, data downloads, and competition submissions.
- Kaggle MCP Server Official Model Context Protocol server enabling AI coding agents to interact with Kaggle's platform for automated competition participation, dataset access, and model evaluation workflows.
- Kaggle Private Hackathons Private option enabling exclusive, closed-door community hackathons for internal enterprise teams to engage in AI competitions without public visibility.
Quantifiable outcome
- Over 1.5 million learners completed the 5-Day AI Agents Intensive course with Google
- +3 more outcomes
Companies that use Kaggle
Customer profileNamed customers11 records
Segments4 records
Ideal customer profiles2 records
Kaggle technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability11 records
Feature7 records
Kaggle partnerships and signals
Strategic signalPartnerships
14 partnerships are on record, tiered core, flagship and minor.
- The Pokémon CompanycoreThe Pokémon Company hosts a $240,000 Kaggle competition challenging participants to build AI that plays the Pokémon Trading Card Game. The contest has generated significant attention, though sparked some backlash due to confusion about AI-generated card designs.
- ARC Prize FoundationcoreARC Prize Foundation runs the ARC Prize 2026 competitions (ARC-AGI-3, ARC-AGI-2, and Paper Track with $850K+ and $450K total prizes respectively) on Kaggle to advance AI fluid intelligence and novel reasoning capabilities.
- Google DeepMindflagshipGoogle DeepMind partnered with Kaggle to launch a $200,000 AGI benchmark hackathon and publish a research paper defining 10 cognitive abilities for AI evaluation. This initiative addresses gaps in AI evaluation methods that often fail to distinguish memorized patterns from genuine adaptation.
- Fields Model InitiativeminorPartnership with the Fields Model Initiative (supported by LLMC from National Institute of Informatics in Tokyo and Benchmarks+Baselines from Vienna) provides 128 H100 GPUs to AIMO3 contestants for training and fine-tuning AI models.
- NVIDIAcoreNVIDIA launched the Nemotron Model Reasoning Challenge on Kaggle ($106,388 in prizes including DGX Spark hardware) challenging participants to improve reasoning accuracy using NVIDIA Nemotron open models on a novel reasoning benchmark. Kaggle provides the competition infrastructure and platform.
- StanfordminorStanford revived its RNA 3D Folding Challenge on Kaggle, inviting researchers and AI teams to develop models predicting RNA structures based on sequences. This builds on previous challenge phases for higher accuracy with more complex targets.
- Deep Past InitiativeminorDeep Past Initiative partnered with Kaggle for a $50,000 AI challenge to decode 4,000-year-old Akkadian cuneiform business records using machine learning tools, considered a major milestone in deciphering complex historical scripts.
- Google ResearchcoreGoogle Research partnered with Kaggle for the MedGemma Impact Challenge (850+ teams developing healthcare AI solutions using Google's open MedGemma model) and the FACTS Benchmark Suite for evaluating LLM factuality. Both initiatives are part of Google's Health AI Developer Foundations (HAI-DEF) program.
- XTX MarketscoreXTX Markets, a leading algorithmic trading firm, funds the $10M AIMO Prize initiative and hosts the AI Mathematical Olympiad Progress Prize 3 ($2.2M fund) on Kaggle. XTX's philanthropy focuses on maths and science education, having donated over £100mn to charities since 2017.
- Thinking Machines (Tinker)minorThinking Machines provides Tinker service with API credits (up to $400 per team) to AIMO3 contestants to help mathematicians compete without strong engineering expertise.
- CSIRO / Meat & Livestock AustraliaminorCSIRO (Australia's national science agency) and Meat & Livestock Australia partnered with Google Australia and Kaggle to host a $75,000 global competition to develop AI models for estimating pasture biomass to improve grazing management.
- GoogleflagshipGoogle and Kaggle have an extensive strategic partnership spanning co-developed AI education courses (5-Day AI Agents Intensive, GenAI Intensive reaching 1.5M+ learners), joint hackathons (Google DeepMind AGI benchmark hackathon with $200,000 prize), healthcare AI challenges (MedGemma Impact Challenge), and benchmark initiatives (FACTS Benchmark Suite). Kaggle operates as a Google subsidiary, making this the company's most significant partnership.
- IBM ResearchcoreIBM Research partnered with Kaggle to host Enterprise Operations Bench benchmarks (ITBench and AssetOpsBench) evaluating LLMs against real-world enterprise IT and asset management workflows. Kaggle hosts the public leaderboards for these benchmarks on its platform.
- Google CloudcoreGoogle Cloud provides compute infrastructure for Kaggle competitions, including G4 VMs powered by NVIDIA RTX PRO 6000 Blackwell GPUs and H100 machines for select competitions like AIMO3 and ARC-AGI-3. Kaggle's cookie and authentication infrastructure uses Google's services.
Scale indicators19 records
Recent moves6 records
Expansion highlights6 records
Kaggle competitors and assessment
Company assessmentDirect peers
- Hugging Face: Hugging Face is the leading AI/ML community hub for hosting models, datasets, and Spaces (interactive demos), directly competing with Kaggle's Models, Datasets, and Notebooks products. Both platforms target the same data scientist/ML engineer user base and are vying to be the default community surface for AI builders.
- DrivenData: DrivenData hosts data science competitions focused on social impact challenges (health, environment, conservation), directly comparable to Kaggle's community and research competition tiers for organizations seeking crowdsourced ML solutions.
- Numerai: Numerai runs crowdsourced ML competitions where data scientists build models to predict financial markets, sharing a competition-platform DNA with Kaggle's hosted prediction competitions and prize-funded engagement model.
- Topcoder: Topcoder is a longstanding crowdsourced competitive platform spanning algorithms, data science, and development challenges, comparable to Kaggle's competition/hackathon format and enterprise customer use case (sourcing global technical talent).
- HackerRank: HackerRank is a competitive programming/technical assessment platform with ML/data science tracks and enterprise recruitment use cases, overlapping with Kaggle's competency signaling and AI Agents education offerings.
Emerging players
- EvalAI: EvalAI is an open-source platform specifically built for hosting and evaluating AI challenges, directly competing with Kaggle's Benchmarks product for AI researchers and labs hosting standardized evaluations.
- Papers with Code: Papers with Code links ML research papers to code and benchmark results, addressing the same fragmented-benchmark problem Kaggle's leaderboards aim to solve. An emerging community surface for AI evaluation.
- Weights & Biases: Weights & Biases is an MLOps platform for experiment tracking, model evaluation, and dataset versioning, partially overlapping with Kaggle's notebook/evaluation surface as an emerging tool in the same builder workflow.
Broad incumbents
- GitHub: GitHub is the dominant developer collaboration and code-hosting platform that has expanded into ML (Models on GitHub, Codespaces) with broad incumbent reach across the same data scientist/ML engineer demographic that Kaggle serves.
- DeepLearning.AI (Coursera partnership): DeepLearning.AI (Andrew Ng) and Coursera are broad incumbent AI/ML education platforms with large course catalogs and certification programs, comparable to Kaggle Learn's free courses with signed certificates for technical AI learners.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Kaggle social profiles
Digital presenceKaggle financial estimates
Financial estimateRevenue estimate
Valuation estimate
Kaggle leadership team
Management profileNumber of profiles
Profiles3 records
Kaggle funding detail
Funding detailFunding overview
Funding rounds2 records
Investors10 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Kaggle M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Kaggle
What does Kaggle do?
Kaggle operates a cloud-based AI evaluation and data science platform where individual data scientists, ML engineers, and researchers access 702K+ datasets, 1.8M+ public notebooks, and 48,300+ pre-trained models with free GPU/TPU compute. Organizations pay Kaggle to host Featured competitions to crowdsource ML solutions, while Community and Research tiers offer free competition hosting for educators, academics, and small businesses. The platform also offers AI model benchmarking through Kaggle Benchmarks and Kaggle Game Arena, plus free educational courses through Kaggle Learn.
Is Kaggle a public or private company?
Kaggle is a private company. It is classified as corporate owned and is currently operating.
When was Kaggle founded?
Kaggle was founded in 2010. It employs 11 to 50 people.
Where is Kaggle based?
Kaggle is headquartered in San Francisco, United States, in the North America region.
How does Kaggle make money?
Three revenue lines are on record. Competition Prize Administration is the primary driver. The others are competition Hosting (Featured Tier) and community & Research Competition Hosting (Free).
Who are Kaggle's main competitors?
Direct peers on record are Hugging Face, DrivenData, Numerai, Topcoder and HackerRank. Emerging players are EvalAI, Papers with Code and Weights & Biases. Broad incumbents are GitHub and DeepLearning.AI (Coursera partnership).
Does Kaggle have an API?
Yes. Kaggle offers a public API that enables developers to programmatically access Kaggle competitions, datasets, models, and notebooks. The API supports authentication, data downloads, and competition submissions. Documentation is available at /docs/api. Developer documentation is at www.kaggle.com/docs/api.