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About h2o

H2O is a GenAI platform from H2O.ai that provides an end-to-end solution for data science applications. It combines KYC and customer onboarding, loan automation and fraud investigations, and trade reconciliation and regulatory reporting so organizations can effectively manage their operations and mitigate risks. Designed for air-gapped, on-premises, or cloud VPC deployments, H2O.ai supports a global ecosystem of over 2 million data science users, ensuring comprehensive expertise and community support. This platform is utilized by banks, telecommunications companies, and government agencies worldwide, showcasing its versatility and reliability in various sectors. Key capabilities: customer onboarding loan automation fraud investigations regulatory reporting portfolio management Best for: financial institutions and organizations that need efficient data processing and compliance solutions.

h2o Details

Vendor
H2O.ai
Year Launched
2012
Location
Mountain View, CA 2307 Leghorn St Mountain View, CA 94043
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, in person
Countries Served
All Countries
Languages
English, Spanish, French, Italian, German, Chinese, Japanese, Korean, Portuguese
Users
Large enterprises, Financial institutions, Telecom providers, Government agencies, AI developers and ML engineers
Industries Served
Financial Services, Telecommunications, Retail, Healthcare, Government, Technology
Tags
Machine Learning, h2o

h2o's In-App Market Place

Does h2o have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NOK (kr), KRW (₩), INR (₹), SGD (S$), HKD (HK$), NZD (NZ$), PLN (zł), RUB (₽)

Pros & Cons

  • AutoML feature streamlines model optimization and saves time
  • Easy setup and intuitive interface for quick experimentation
  • Strong performance in predictive analytics and machine learning
  • Accessible to users with minimal coding experience
  • Supports multiple languages and integrates with Python and R
  • Limited feature engineering capabilities
  • Documentation can be sparse or hard to navigate
  • GUI preferred over programmatic use, limiting flexibility
  • Some preprocessing issues with specific file types
  • High memory usage depending on data size

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