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H2O Driverless AI

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Company health

Employee growth
8% decrease in the last year
Web traffic
2% increase in the last quarter
Financing
February 2023 - $251M

Ratings

G2
4.0/5
(3)
Glassdoor
3.1/5
(125)

H2O Driverless AI description

H2O Driverless AI is an automated machine learning platform designed to help businesses of all sizes build and deploy AI models, without needing a team of expert data scientists. It simplifies the process of developing AI by automating key tasks like data analysis, feature engineering, and model selection, significantly reducing the time and expertise required. H2O Driverless AI also offers tools to help understand and trust the models it creates, ensuring transparency and responsible AI implementation. Its user-friendly interface and automation capabilities make AI accessible for both beginners and experienced data scientists.


Who is H2O Driverless AI best for

H2O Driverless AI empowers businesses to leverage the power of AI without needing a dedicated team of data scientists. It automates key tasks in the AI development process, from data analysis to model deployment. This platform is ideal for small to mid-sized businesses across various data-driven industries seeking to implement AI solutions efficiently.

  • Best fit for small to mid-sized businesses.

  • Suitable for various data-driven industries.


H2O Driverless AI features

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H2O Driverless AI supports accuracy, precision, recall, and F1-score.

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Driverless AI performs hyperparameter tuning using Bayesian optimization and random search.

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Driverless AI automates feature engineering, transformation, and handles data quality issues.

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H2O Driverless AI offers automated model building, training, and deployment tools.

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Driverless AI supports self-hosting, hybrid cloud, and fully managed cloud deployments.

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Driverless AI supports GPU training for accelerated model training.


H2O Driverless AI alternatives

  • Logo of DataRobot
    DataRobot
    Offers edge deployment and R integration. Has interactive dashboards. More user reviews available and higher ratings on G2. Growing slower with more negative employee growth. Users mention high cost, limited customization, occasional performance issues, and difficult documentation as downsides.
    Read more
  • Logo of Yseop Augmented Analyst
    Yseop Augmented Analyst
    Better suited for narrative reporting and data storytelling. It has stronger momentum and a greater focus on the life sciences industry, especially for regulatory submissions. A good H2O Driverless AI competitor.
    Read more
  • Logo of RapidCanvas
    RapidCanvas
    Better suited for users without coding experience seeking rapid AI solutions. Focuses on visual data analysis, model creation, and insights, especially for manufacturing and finance. Has strong momentum in team growth. Users praise ease of use and data connectors but note UI complexity and limited dashboard flexibility.
    Read more
  • Logo of MATLAB
    MATLAB
    Better for users with advanced coding skills seeking complex mathematical modeling and simulation capabilities. Popular in academic and research settings. Has more momentum than H2O Driverless AI. Steeper learning curve and higher cost.
    Read more
  • Logo of Weights & Biases
    Weights & Biases
    Better for teams collaborating on machine learning models. Focused on experiment tracking, model comparison, and result sharing. Has better ratings and is growing faster. More suitable for software and IT.
    Read more
  • Logo of Kepler
    Kepler
    Offers R integration and interactive dashboards.
    Read more

H2O Driverless AI FAQ

  • What is H2O Driverless AI and what does H2O Driverless AI do?

    H2O Driverless AI automates machine learning tasks, enabling businesses to build and deploy AI models without extensive data science expertise. It simplifies data analysis, feature engineering, and model selection, making AI accessible and accelerating model development.

  • How does H2O Driverless AI integrate with other tools?

    H2O Driverless AI integrates with various platforms through APIs and supports multiple deployment options, including self-hosting, hybrid cloud, and fully managed cloud. It also offers flexible options for data connections.

  • What the main competitors of H2O Driverless AI?

    DataRobot is a direct competitor, offering similar automated machine learning capabilities. Other alternatives include SAS Visual Data Mining and Machine Learning, MATLAB, and Weights & Biases, each with varying focuses like data visualization, model building, and team collaboration. Yseop and Aporia offer more specialized AI solutions.

  • Is H2O Driverless AI legit?

    Yes, H2O Driverless AI is a legitimate automated machine learning platform. It simplifies AI model building and deployment, making it accessible to businesses of all sizes, even those without dedicated data scientists. It automates key tasks like data analysis and model selection.

  • How much does H2O Driverless AI cost?

    I couldn't find pricing details for H2O Driverless AI. Contact their sales team for a customized quote based on your specific needs and to determine if the product's worth it for your use case.

  • Is H2O Driverless AI customer service good?

    There is no information available about H2O Driverless AI's customer service.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.