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MLOps Platforms
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Page 2 - Top MLOps Platforms

To be considered for the MLOps Platforms category, a product should meet the following criteria: * Platform for Monitoring and Management: The product must provide a comprehensive platform for monitoring and managing machine learning models. This includes features for tracking model versions, monitoring performance metrics, and managing model lifecycles. * Integration into Business Applications: It should allow users to seamlessly integrate machine learning models into various business applications across the company. This integration capability ensures that models can be effectively deployed and utilized within the existing infrastructure. * Health and Performance Tracking: The product must enable users to track the health and performance of deployed machine learning models in real-time. This involves monitoring key indicators such as accuracy, latency, resource utilization, and model drift to ensure optimal performance. * Holistic Management Tool: It should provide a holistic management tool that offers insights into all models deployed across the business. This includes features for model governance, compliance monitoring, and centralized visibility into the entire model ecosystem. Meeting these criteria ensures that the product offers robust capabilities for managing machine learning operations effectively within an organization.

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Tenyks

Tenyks

tenyks.ai

Tenyks offers an MLOps monitoring and validation platform for ML developers, focusing on improving the reliability of software that uses computer vision data.

Modular

Modular

modular.com

The Modular app enables developers to create and deploy applications using independent, self-contained modules for improved flexibility and reusability.

ClearML

ClearML

clear.ml

ClearML is an open-source AI platform that streamlines the creation, deployment, and management of machine learning workflows for enterprises.

Valohai

Valohai

valohai.com

Valohai is an MLOps platform that streamlines machine learning workflows, automating model training and enabling team collaboration for efficient project management.

WhyLabs

WhyLabs

whylabs.ai

WhyLabs offers tools for real-time monitoring and management of AI applications, enhancing model performance and ensuring data quality while reducing operational overhead.

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