About Us

We believe that
everyone can benefit from AI

And the are numerous applications that does not need a dedicated AI tools. Their problem is common, and there should be a set of plugin‑like modules that can solve it.

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MLToolkit Modules

MLToolkit Modules

How to integrate

Delivered as packages or
whole Docker ecosystems

Utilizing latest technologies our modules are bundled so that they can be integrated easily. This includes providing a ready-to-use Docker images or software packages - docs included!

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Standarized API

Every update brings
better quality to all apps

Thanks to separation from application-specific logic, with every new release of our tool, all existing integrations will be able to upgrade and receive a better quality without any code changes

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We have your back

Our modules are shipped
with responsibility in mind

With each new integration, you can count on us to be of assistance. Whenever you want to know more about the module or you think that something may be wrong, you can contact us any time

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MLToolbox is in beta

Be among the first ones, submit feedback and be featured in testimonials section

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Pricing Plans

Pricing Plans

Silver Package

$69.00

  • Basic hair Cut
  • Basic hair Cut
  • Basic hair Cut

Golden Package

$69.00

  • Basic hair Cut
  • Basic hair Cut
  • Basic hair Cut

Platinum Package

$69.00

  • Basic hair Cut
  • Basic hair Cut
  • Basic hair Cut

MLToolbox is in beta

Beta period is free of charge, providing all the features available on MLToolkit platform

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Frequently Asked Questions

Frequently Asked Questions

What problem does MLToolkit solve?

MLToolkit wraps up the best libraries and tools from AI/ML field and wraps them up in a ready to use modules. It allows you to solve business problems without a deep technical knowledge.

What are the requirements to integrate with MLToolkit?

Basic requirement is to have a hardware, that is capable to run calculations on GPU. Also, depending on your choice of module, you need to have either Docker or Python or both installed to run it.

How is MLToolkit better than making the modules yourself?

First, you minimize the risk of failure - we developed them and we take the full responsibility. Second, we develop them for long time and we handled tons of edge cases - therefore saving your time.

What if the module will not work as intended?

For beta, we know that some things may not work properly, even though we test them carefully. We encourage you to submit the feedback, so that we can develop it further to better suit your needs

Can MLToolkit solve my very specific problem?

Not by itself. It was designed to help in solving the most common AI/ML problems. However, you can integrate our modules as a part of any AI/ML ecosystem, and build your specific logic around it.

What are each module responsibilities?

Every module handles setting up, like downloading weights and definitions and provides a user-friendly API and web interfaces for both usage and configuration.

Latest Blog Posts

Latest Blog Posts