Create an AI model with just clicks - no coding required. Utilize your data without the need for development expertise or concerns about costs to craft the AI model you desire.
You don't need to code to train an AI model.
You can do it easily and quickly with your own data on our platform.
Anyone can perform their tasks such as selecting suitable variables and models, evaluating the trained model, and so on.
All you need to do is to click a few buttons.
We enable you to create and train AI models using your own data for various industries.
We support structured data.
If you have any questions about unstructured data, please feel free to contact us at wiseprophet@wise.co.kr
Highlights
Provide a variety of algorithms.
Visualize prediction results.
After finalizing the model, it follows a predefined schedule to execute the prediction model, continuously monitoring and enhancing the accuracy of the AI model.
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 is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing offers one pricing option, the STANDARD contract. You pay for a dedicated instance running on a t3.large configuration. That instance provides 2 CPU cores, 8 GB of memory, and 100 GB of storage, with no GPU. Pricing is billed as a contract for this single fixed instance size. Because only one dimension exists, there are no tiers or size choices to compare. You use this AutoML platform to build and run machine learning models through a visual interface on the provided compute.
Top-of-mind questions for buyers
What does the STANDARD unit include, and does the price cover the compute instance itself?
The STANDARD unit is one dedicated t3.large instance. It provides 2 CPU cores, 8 GB of memory, and 100 GB of storage, with no GPU. This single fixed instance runs the AutoML platform. You do not select or scale to other instance sizes under this listing.
Does the instance have a GPU, and what does that mean for the workloads I can run?
The STANDARD instance includes no GPU; it runs on 2 CPU cores and 8 GB of memory. Model training, feature engineering, and inference run on CPU. The platform supports structured data plus text and image data through automated preprocessing on this fixed compute.
Am I billed continuously for this instance, or only when I am actively training models?
This listing is billed as a contract for one dedicated instance. The charge covers the reserved t3.large instance for the contract term, not per training run. The instance stays allocated to you, so cost does not vary with how many models you build or how often you run them.
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