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Brief

H2O.ai

Data & Analytics

Democratizes AI through open-source and enterprise platforms that enable organizations to build, deploy, and operationalize machine learning models at scale without requiring extensive data science expertise.

Last updated Jun 23, 2026 by ATDb automated enrichment

Founded
2012
HQ
Mountain View, California, United States
Connections
7

At a glance

Employees
201-500
Funding
$250M+
6integrations

About

Leading enterprise AI platform provider with strong open-source community presence

H2O.ai is a leading artificial intelligence and machine learning platform provider founded in 2012. The company offers both open-source and enterprise AI solutions designed to democratize AI and make machine learning accessible to organizations of all sizes. Their flagship products include H2O Driverless AI, an automated machine learning platform, and H2O-3, an open-source distributed machine learning platform. While H2O.ai is not primarily an AdTech company, its AI and machine learning platforms are utilized across various industries including financial services, healthcare, telecommunications, and marketing/advertising for predictive analytics, customer segmentation, and optimization. In the advertising context, their technology can be applied to audience targeting, campaign optimization, customer lifetime value prediction, and personalization at scale. H2O.ai has established itself as a significant player in the enterprise AI space, competing with other machine learning platforms and serving Fortune 500 companies globally. The company has raised substantial venture funding and continues to expand its product offerings in the generative AI space with products like H2O LLM Studio and h2oGPT.

Business model

SaaS

Target market

Enterprise

What they offer

  • H2O Driverless AI

    Automated machine learning platform for building and deploying ML models with automatic feature engineering and model optimization

  • H2O-3

    Open-source distributed machine learning platform supporting various algorithms and scalable data processing

  • H2O AI Cloud

    End-to-end AI cloud platform for developing, deploying, and managing AI applications

  • H2O LLM Studio

    Platform for fine-tuning and deploying large language models

  • H2O Document AI

    AI-powered document processing and information extraction solution

  • h2oGPT

    Open-source generative AI solution for enterprise use cases

Key features

Automated machine learning (AutoML)Model interpretability and explainabilityDistributed computing capabilitiesSupport for multiple ML algorithmsMLOps and model deploymentFeature engineering automationTime series forecastingNatural language processingComputer vision capabilities

Use cases

Predictive analyticsCustomer churn predictionFraud detectionCredit risk modelingCustomer segmentationDemand forecastingPersonalization and recommendation enginesMarketing campaign optimizationCustomer lifetime value prediction

Customer segments

Financial ServicesHealthcareInsuranceRetailTelecommunicationsManufacturingMarketing and Advertising

Tech & specs

Technology stack

JavaPythonRSparkHadoopKubernetesDocker

Security & compliance

SOC 2GDPRHIPAAISO 27001

Deployment

CloudOn-premiseHybrid

API

Yes

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