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Myelin

Automate MLOps - Boost Data Science

Myelin offers custom pricing plan

Overview of Myelin

What is Myelin ?

Myelin is a Kubernetes-native framework designed to facilitate end-to-end machine learning workflows. This platform empowers data scientists and machine learning engineers to train, deploy, and monitor their machine learning models. Myelin allows for the management of machine learning processes without the ... Read More

API available

Myelin Platforms

  • Browser Based (Cloud)

Myelin Customer Type

  • Large Enterprises
  • Medium Business
  • Small Business

Myelin Features

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Pricing of Myelin

  • Freemium,
  • Quotation Based,
  • Free Trial

Screenshot of the Myelin Pricing Page (Click on the image to visit Myelin 's Pricing page)

Disclaimer: Pricing information for Myelin is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .

Myelin FAQs

Myelin is a MLOps Platforms. Myelin offers the following functionalities:
  • Model Development
  • Model Deployment
  • API Integration
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Yes, Myelin provides API.
No, Myelin doesn’t provide mobile app.
Myelin is located in London, UK
Myelin offers Freemium, Quotation Based, Free Trial pricing models
We don't have information regarding integrations of the Myelin as of now.

Myelin Support

Contact

+44-20-7167-4258

Customer Service

24/7 (Live rep)

Online

Location

London, UK

Reach out to Myelin Social channels

Read More about Myelin

Myelin is a Kubernetes-native framework designed to facilitate end-to-end machine learning workflows. This platform empowers data scientists and machine learning engineers to train, deploy, and monitor their machine learning models. Myelin allows for the management of machine learning processes without the need for human intervention. It supports a diverse array of advanced scenarios, enabling users to articulate the desired state for complex deployments with ease. This allows teams to navigate the intricacies of machine learning operations while ensuring that their models are deployed accurately and effectively.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

Researched by Rajat Gupta