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Version: 4.2

Overview

Instantly deploy & manage your custom AI models.​

Katonic Deploy is a low-code MLOps platform that deploys, manages, and scales any trained AI model in minutes with no configuration & infrastructure setup. Our goal is to help companies create value through machine learning as quickly and as painlessly as possible by abstracting away a lot of the complexity and mundane infrastructure setup.

What is Katonic Deploy?​

Katonic Deploy is a low-code MLOps platform for organizations to deploy, manage and scale enterprise-grade AI models without unnecessary complexity.

Why do I need Katonic Deploy?​

You don't.

You can always hire a great team of engineers and build the MLOps platform yourself. However, we know that not every company has the resources and capabilities for this. Very often, creating your own tool is associated with many challenges related to maintenance and additional work that does not bring any business value. That is why we decided to build a Katonic Deploy that will help AI teams implement, manage and scale their models in line with MLOps best practices.

How can it drive the value?​

Katonic Deploy aims to be the first MLOps engineer in your company. It helps Data Scientists and increases the efficiency of DevOps teams.

  1. Simple and fast AI model deployment
  2. Model management, versioning, and monitoring at scale
  3. Simple and secure model integration

How does it work?​

In order to deploy a model via Katonic Deploy, you just need to add two files to your repository and connect repository to the Katonic Deploy. Later, the platform will automatically wrap your model and deploy it in a serverless and scalable way.

Still curious how it looks like in practice?

Deploy a sample model yourself by pressing the link here.

Who should use Katonic Deploy?​

There are various roles that should use Katonic Deploy.

  1. Data Scientist

Data scientist can use Katonic Deploy while they develop their models and when its in Staging.

Some of the benefits include:

  • Quickly deploy and update models.
  • Understand model predictions through explanation techniques to help build better models.
  • Ensure models are ready for the promotion to production.
  1. Devops Engineer

Devops Engineers can use Katonic Deploy to ensure machine learning models are run safely and successfully in production.

Some of the benefits include:

  • Deploy and rollout new machine learning models.
  • Ensure all actions performed on a model are auditable.
  • Monitor running models in real time.
  • Provide feedback on particular model predictions.
  1. Managers and Auditors

Managers and Auditors can use Katonic to ensure machine learning models running in production are providing the benefits to the organisation and are properly audited.

Some of the benefits include:

  • Check all models are running as expected.
  • Audit actions there were performed on models.
  • Provide feedback to clients and customer on particular model predictions that have been produced.