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Kaggle

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uuid0003b5w

Namestring
Kaggle
Legal namestring
Kaggle Inc.
Websiteurl
kaggle.com
Company typeenum
Private
Founded yearint
2010
Descriptiontext

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.

Short descriptiontext

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.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
data science platform, machine learning competitions, AI model benchmarks, crowdsourced AI evaluation, ML community hosting
NAICS code1 code
  • Software Publishers5132
SIC code1 code
  • Services-Prepackaged Software7372
Product category
AI & Data Science Platform
Social media profiles4 records
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model3 records
1Competition Prize Administration
TypeTransaction Fee
Description

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.

kaggle.com
2Competition Hosting (Featured Tier)
TypeTransaction Fee
Description

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.

blog.google
3Community & Research Competition Hosting (Free)
TypeFreemium
Description

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.

kaggle.com
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

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

Cost components5 values
Infrastructure, Technology or R&D, Personnel, Operations, Marketing or Sales
Pricing details4 tiers
1Community Tier - Free competition hosting for educators and ML enthusiasts
ModelFreemiumBilling cadenceFree
Notes

Free access to competition hosting, dataset hosting, notebooks with no-cost compute, public leaderboards, and discussion forums. Intended for educators, small businesses, and ML enthusiasts.

kaggle.com
2Research Tier - Free competition hosting for academic and non-profit organizations
ModelFreemiumBilling cadenceFree
Notes

Grants available for academic and non-profit organizations. Includes dataset hosting, notebooks with no-cost compute, competition-specific forums, and live leaderboard.

blog.google
3Featured Tier - Paid competition hosting for businesses with demanding ML problems
ModelSubscriptionBilling cadenceMulti-year contract
Notes

Organizations pay for Featured competitions which are highlighted on the Kaggle homepage, receive marketing support, and can offer cash prizes to winners. Pricing varies per competition. Includes technical advice, launch preparation, and live monitoring.

blog.google
4Private Hackathons - Exclusive closed-door community hackathons for internal teams
ModelSubscriptionBilling cadenceAnnual
Notes

Kaggle's new Private option enables exclusive, closed-door community hackathons for internal teams, separate from public community hackathons which have prize caps of $10,000.

blog.google
GTM typeB2B and B2C
B2B and B2C
Offering typeSoftware
Software
Brand1 of 4 records shown
1Kaggle Learn
Description

Free online courses offering hands-on learning with Python, machine learning, pandas, and other data science topics with signed certificates

kaggle.com
+3 more records
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • Over 1.5 million learners completed the 5-Day AI Agents Intensive course with Google
+3 more records
Product overview1 text field

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.

Product and service11 records
1Kaggle Competitions
CategoryCore Platform / Competitions
Description

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.

2Kaggle Benchmarks
CategoryCore Platform / AI Evaluation
Description

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.

3Kaggle Game Arena
CategoryCore Platform / AI Evaluation
Description

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.

4Kaggle Datasets
CategoryData Repository
Description

Repository of over 702,000 high-quality public datasets spanning diverse domains, enabling data scientists to discover, download, and incorporate datasets into ML workflows.

5Kaggle Notebooks
CategoryCompute / Developer Tools
Description

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.

6Kaggle Models
CategoryModel Hub
Description

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.

7Kaggle Learn
CategoryEducation / Training
Description

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.

8Kaggle Community Hackathons
CategoryCompetition Hosting
Description

Feature enabling anyone (universities, startups, research labs) to create and host AI competitions on Kaggle with prize pools up to $10,000.

9Kaggle API
CategoryDeveloper Tools / API
Description

Public Python API enabling programmatic access to Kaggle competitions, datasets, models, and notebooks, with authentication, data downloads, and competition submissions.

10Kaggle MCP Server
CategoryDeveloper Tools / API
Description

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.

11Kaggle Private Hackathons
CategoryCompetition Hosting (Enterprise)
Description

Private option enabling exclusive, closed-door community hackathons for internal enterprise teams to engage in AI competitions without public visibility.

Scale indicator19 records

Each record includes

Type, Value, Description, Source

Partnership14 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-06-17
Description

The 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.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-03-25
Description

ARC 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.

Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2026-03-17
Description

Google 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.

4Fields Model Initiative
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-03-17
Description

Partnership 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.

edtechinnovationhub.com
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-03-16
Description

NVIDIA 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.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-01-21
Description

Stanford 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.

7Deep Past Initiative
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2025-12-16
Description

Deep 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.

einpresswire.com
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-12-01
Description

Google 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.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-11-20
Description

XTX 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.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2025-11-20
Description

Thinking Machines provides Tinker service with API credits (up to $400 per team) to AIMO3 contestants to help mathematicians compete without strong engineering expertise.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2025-10-29
Description

CSIRO (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.

Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2025-09-23
Description

Google 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.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-03-24
Description

IBM 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.

Strategic tierCoreTypeTechnology or Integration
Description

Google 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.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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).

TypeDirect peer
Description

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.

6EvalAI
TypeEmerging player
Description

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.

7Papers with Code
TypeEmerging player
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeEmerging player
Description

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.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers11 records

Each record includes

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

Segment4 records

Each record includes

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

Ideal customer profile2 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

Integration4 records

Each record includes

Title, Type, Description, Source

AI capability11 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature7 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

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

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

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

Investors10 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&A

Each record includes

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

Investment

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 →

Kaggle

AI & Data Science Platformkaggle.com

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.

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

Location

Headquarters

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

  1. 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.
  2. 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.
  3. 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

ModelBillingPrice
FreemiumFreeCommunity Tier - Free competition hosting for educators and ML enthusiasts
FreemiumFreeResearch Tier - Free competition hosting for academic and non-profit organizations
SubscriptionMulti-year contractFeatured Tier - Paid competition hosting for businesses with demanding ML problems
SubscriptionAnnualPrivate Hackathons - Exclusive closed-door community hackathons for internal teams

Go-to-market motion3 records

Distribution channels4 records

Marketing channels6 records

Kaggle product offering

Product offering

Core 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 profile

Named customers11 records

Segments4 records

Ideal customer profiles2 records

Kaggle technology and API

Technology

Technology 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 signal

Partnerships

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

  • The Pokémon CompanycoreStrategic or Co-development Partner · 17 June 2026The 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 FoundationcoreStrategic or Co-development Partner · 25 March 2026ARC 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 DeepMindflagshipStrategic or Co-development Partner · 17 March 2026Google 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 InitiativeminorStrategic or Co-development Partner · 17 March 2026Partnership 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.
  • NVIDIAcoreStrategic or Co-development Partner · 16 March 2026NVIDIA 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.
  • StanfordminorStrategic or Co-development Partner · 21 January 2026Stanford 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 InitiativeminorStrategic or Co-development Partner · 16 December 2025Deep 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 ResearchcoreStrategic or Co-development Partner · 1 December 2025Google 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 MarketscoreStrategic or Co-development Partner · 20 November 2025XTX 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)minorStrategic or Co-development Partner · 20 November 2025Thinking 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 AustraliaminorStrategic or Co-development Partner · 29 October 2025CSIRO (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.
  • GoogleflagshipStrategic or Co-development Partner · 23 September 2025Google 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 ResearchcoreStrategic or Co-development Partner · 24 March 2025IBM 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 CloudcoreTechnology or IntegrationGoogle 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 assessment

Direct 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

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Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

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Investors10 records

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Kaggle M&A and investment

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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.

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Live signals
Third NewsRist's Kohei Oki Wins Gold at Kaggle AI Agent Security CompetitionKohei Oki, a Kaggle Grandmaster and Rist team member, won gold in Kaggle's AI Agent Security competition, sponsored by OpenAI, Google, and IEEE. The Rist team finished fourth among 12,224 applicants, and the competition aimed to uncover vulnerabilities in AI agents using external tools.Third NewsKaggle Competition Sees Rist's Takoi Hirokazu Claim Bronze MedalTakoi Hirokazu and the Rist Kaggle Team secured a bronze medal in the 'ROGII - Wellbore Geology Prediction' competition, which focused on using machine learning to automate drilling processes. The event attracted nearly 7,000 participants and was organized by ROGII, a digital technology firm in the oil and gas sector. This achievement highlights the technical capabilities of Rist's specialized AI engineering team.Quantum ZeitgeistKaggle agents solved 400 puzzles, winning HSE team a gold medalResearchers from HSE International Laboratory of Statistical and Computational Genomics won a gold medal at the 2026 NeuroGolf machine learning championship by deploying an automated system of 330 ChatGPT-based agents to solve 400 unique puzzles. The team utilized a Telegram bot to monitor and control these AI agents, dynamically prioritizing tasks to maximize scores within Kaggle's submission limits. This approach demonstrated that advanced AI models can benefit from motivational prompting, significantly accelerating the research process for future hypothesis testing.Prtimes医療AI開発のアイリス、代表の沖山が国際的AIコンペティションKaggle「The 2026 NeuroGolf Championship」で銀メダルを獲得Sho Okuyama, CEO of Iris Co., Ltd., won a silver medal in Kaggle's 2026 NeuroGolf Championship, following a silver in BirdCLEF+ 2026. The competition involved 400 neural networks solving ARC-AGI image transformation tasks. Iris will continue advancing AI healthcare development.Analytics InsightData Science Tools Every Beginner Should KnowThis article provides a guide for beginners on essential data science tools, highlighting Python, SQL, Pandas, and Excel as foundational skills for practical projects and career readiness. It details specific libraries and platforms such as Jupyter Notebook, Scikit-learn, Git, GitHub, Google Colab, Kaggle, Power BI, and Tableau to support data analysis, machine learning, and visualization tasks. The piece emphasizes a structured learning path that combines these technologies to build strong portfolios and prepare for entry-level roles in the industry.EIN PresswireEros GenAI Researchers Win Grand Prize in Google DeepMind × Kaggle AGI Benchmark HackathonEros GenAI researchers won a Grand Prize at the Google DeepMind × Kaggle AGI benchmark hackathon for their GAUGE benchmark, which evaluates whether large language models recognize uncertainty and abstain appropriately. The benchmark assessed eight models across four families, and Eros plans to integrate the methodology into its model-evaluation framework and extend it to cultural intelligence and rights-aware AI.KotakuPokémon Announces AI-Powered TCG Contest, But Not How You ThinkThe Pokémon Company announced a coding contest on Kaggle challenging participants to write AI that plays through Trading Card Game simulations, with a cash prize for the winning team. The contest has sparked backlash due to confusion over whether it involves AI-generated card designs, but the actual challenge is building AI opponents that can play the TCG, and entrants retain rights to their submitted code. The article notes the company's inconsistent stance on generative AI, having previously disqualified fans for AI art while also facing accusations of using AI in its own promotional materials.blog.googleKaggle is making AI benchmark creation effortlessKaggle has launched local development capabilities for its AI benchmark platform, enabling developers to create, validate, push, run, and download evaluation tasks directly from their local development environments using the Kaggle CLI. The update also introduces a new 'write-kaggle-benchmarks' skill that allows AI coding agents to build benchmark tasks in natural language, expanding access beyond Kaggle's web-based notebook editor. Kaggle states the goal is to democratize AI evaluations and enable the global AI community to build the trustworthy, transparent leaderboards that help labs measure and accelerate model progress.Quantum ZeitgeistIntegrated Quantum Launches $10,000 Kaggle Hackathon to Pierce VEILIntegrated Quantum Technologies launched a $10,000 Kaggle hackathon on April 24th inviting data scientists and AI researchers to test its VEIL anonymization technology by attempting to reconstruct protected data without access to original inputs. The month-long competition awards $8,000 to the top-performing solution and $2,000 to a qualifying secondary submission, with participants tasked with reversing the company's Informationally Compressive Anonymization architecture. The company aims to validate the non-reversibility of VEIL under realistic conditions and build confidence in its real-world applications by subjecting it to transparent external scrutiny from the global AI community.NewsfileIntegrated Quantum Technologies Opens VEIL(TM) Architecture to Global Kaggle HackathonIntegrated Quantum Technologies launched a global Kaggle hackathon to test its VEIL technology, running from April 24, 2026 for about a month. A $10,000 prize pool is awarded, with $8,000 to the top solution and $2,000 to a secondary submission. The company aims to validate the non-reversibility of its ICA architecture.