Sold by: QRI
SpeedWise® ML is a web-based software platform allowing everyone and every company to conduct cutting-edge machine learning practices and predictive analysis.
2.5
Overview
SpeedWise® ML (SML) is a web-based software platform allowing everyone and every company to conduct cutting-edge machine learning practices and predictive analysis. Through the platform, everyone, with or without a deep understanding of machine learning, will be able to deliver high-quality production-level models through a few mouse clicks within minutes, without typing a single line of code.
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Master machine learning easily without a data science background.
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Powerful data preprocessing capabilities and intelligent data capture make data wrangling easy and fast.
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Save time training and refining ML models rather than on countless coding hours (python knowledge not needed).
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SML allows training of different models at the same time, displaying which is best.
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Robust reporting conveys model validity.
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Solve universal machine learning problems with a fast and intuitive data science workflow.
SpeedWise® ML can be used by any company or organization that has data that is not yet fully exploited. This technology is applicable to any industry or sector, and it simply requires uploading an input data table (e.g., a .csv file) to start triggering thousands of machine learning models.
or email us at: speedwise.ml@qrigroup.com
Highlights
- Build machine learning models 10x faster
- Our built-in explainable machine learning module delivers answers and the reasons behind those answers.
- Application of advanced machine learning solutions is made easily available across your organization.
Details
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Delivery method
Deployed on AWS
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
Professional | 20 hrs CPU time/mo | $300.00 |
Dimensions summary
This listing offers one contract option, Professional, billed as a unit-based commitment. Each unit gives you 20 hours of CPU time per month. CPU time measures the compute your machine learning work consumes on the platform. You buy units to match your expected monthly usage. There are no separate tiers or instance sizes to choose between. To scale, you add more units, each carrying the same 20-hour monthly allotment. Pricing grows in proportion to the number of units you commit to.
Top-of-mind questions for buyers
CPU time counts the compute your machine learning tasks consume while running on the platform. This includes data processing, cleaning, and training models. Each Professional unit gives you 20 hours of that compute time per month. Idle time when you are not running jobs does not draw down your allotment.
Each Professional unit covers 20 hours of CPU time per month. To cover more compute, you add more units. Since the platform lets you train multiple models at once, heavier or parallel workloads consume CPU time faster and may need more units to match your monthly usage.
This is a contract commitment, not pay-as-you-go metering. You buy Professional units upfront, each covering 20 hours of CPU time monthly. Your cost is set by how many units you commit to, not by hour-by-hour activity. To handle more compute, you commit to more units.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Devang d.
With the power of ML & Quick Super Calculative chips it boosts our day to day life to achieve more.
Reviewed on Jun 16, 2023
Review provided by G2
What do you like best about the product?
It helps to grow all filed faster using trained ml models on large data. So it provides accuracy & good classification. It also helps to do quick automated tasks based on data of input with the help of a trained model.
What do you dislike about the product?
If data is less and the model is not trained properly, then this may lead to improper or wrong results, so before using a model, that must need to be trained properly without any glitches or issues. And they also need to can develop such a model that can be twisted and trained based on environmental or input data changes in order to provide accurate results.
What problems is the product solving and how is that benefiting you?
Data is the basic element of every successful conclusion or result in any field. Keeping that in mind, it solves issues in various fields by providing well-trained ml models like medical, health, finanice, environmental changes releted, etc., possibilities are infinite, so by using its power, it benefits every field