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SuperLearner

Website LinkedIn

Last updated on

Company health

Employee growth
23% increase in the last year
Web traffic
66% increase in the last quarter

Ratings

G2
4.5/5
(13)
Glassdoor
3.9/5
(32)

SuperLearner description

SuperLearner is a software tool that helps you make better predictions from your data. It uses advanced algorithms like artificial neural networks and machine learning to analyze your data and create predictive models. This can be useful for various tasks, such as forecasting sales, understanding customer behavior, or identifying potential risks.


Who is SuperLearner best for

SuperLearner helps businesses predict outcomes using machine learning. Ideal for sales forecasting, customer behavior analysis, and risk identification, it caters to companies of all sizes. It's particularly suited for finance, IT, and marketing sectors.

  • Best fit for medium-sized businesses (101-1000 employees), but suitable for small businesses and large enterprises.

  • Particularly well-suited for Finance, Banking & Insurance, Software, IT & Telecommunications, and Marketing & Advertising.


SuperLearner pricing

See the SuperLearner pricing page.


SuperLearner alternatives

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    Predicts future trends with powerful AI, simplifying complex data.
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  • Logo of 20:20 RDI Predictive Analytics
    20:20 RDI Predictive Analytics
    Predicts customer behavior in emerging markets using incomplete data.
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  • Logo of Amazon Forecast
    Amazon Forecast
    Predicts future trends with machine learning, simplifying business planning.
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  • Logo of Arimo BAI
    Arimo BAI
    Predictive AI helps businesses make smarter decisions with clear insights.
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  • Logo of Predelo
    Predelo
    Predictive workforce optimization: smarter schedules, happier teams.
    Read more
  • Logo of Conversus.AI
    Conversus.AI
    Turns social conversations into clear business insights.
    Read more

SuperLearner FAQ

  • What is SuperLearner and what does SuperLearner do?

    SuperLearner is a software tool that uses advanced algorithms like artificial neural networks and machine learning to analyze data and create predictive models. This helps businesses forecast sales, understand customer behavior, and identify potential risks. It's ideal for small to large businesses in finance, IT, and marketing.

  • How does SuperLearner integrate with other tools?

    There is no information available regarding SuperLearner's product integrations. However, it is designed for professionals seeking to use machine learning for tasks like sales forecasting and customer behavior analysis.

  • What the main competitors of SuperLearner?

    Alternatives to SuperLearner include Neural Designer, Qlik AutoML, SAS Visual Data Mining and Machine Learning, MATLAB, RapidCanvas, and FICO Analytic Modeler Decision Tree Professional. These competitors offer similar predictive modeling capabilities for various business applications.

  • Is SuperLearner legit?

    SuperLearner appears to be a legitimate software tool for predictive modeling. User reviews on G2 and Glassdoor rate it positively, indicating its potential value. However, further investigation is recommended as limited information is available regarding specific features and pricing.

  • How much does SuperLearner cost?

    I couldn't find any pricing details for SuperLearner. Contact the vendor directly to determine if SuperLearner is worth the investment for your specific needs.

  • Is SuperLearner customer service good?

    There is no information available about SuperLearner'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.