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Software Status:Development

About ntile

Ntile is a GenAI platform from ntile team designed for end-to-end deployment in air-gapped, on-premises, or cloud VPC environments. It combines an active, global ecosystem of over 2 million data science users utilizing H2O.ai open source, in-house expertise in key global hubs, and a comprehensive platform tailored to meet strict regulatory and security standards. This makes ntile suitable for various industries, including banking, telecommunications, and government agencies. The platform supports a wide range of applications while ensuring data privacy and control. Key capabilities: air-gapped deployments open-source integration global user network in-house expertise industry compliance Best for: organizations that need secure and flexible GenAI solutions for sensitive environments.

ntile Details

Vendor
ntile team
Year Launched
Location
h2o.ai Headquarters 2307 Leghorn St Mountain View, CA 94043 United States
Deployment
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
R, Python.
Users
Data Analysts, Data Scientists, Machine Learning Engineers, Software Developers
Industries Served
Healthcare, Education, Finance, Retail
Tags
Data Management, Quantiles, Machine Learning, Data Science, h2o.ai

ntile's In-App Market Place

Does ntile have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

2

Mini Apps

1. H2O Wave: A web app framework for building and sharing AI interactive apps with H2O.ai technologies.

2. H2O Driverless AI: A platform for automatic machine learning by H2O.ai.

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NZD (NZ$), MXN (Mex$), SGD (S$)

Pros & Cons

  • Efficiently handle large datasets for quick analysis
  • Ability to perform advanced statistical analyses like segmentation and clustering
  • User-friendly interface for easy navigation and usage
  • Integration with other data management tools for seamless workflow
  • Customizable features to tailor analyses to specific needs
  • Automatic data cleaning and preprocessing capabilities for accurate results
  • Limited flexibility in customization of the ntile function
  • Lack of detailed documentation or examples for beginners
  • Potential performance issues with large datasets
  • Steep learning curve for users unfamiliar with the h2o.ai platform

ntile's Support Options

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