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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censius
censius.ai
Censius is an AI observability platform that provides visibility and management for production ML models, ensuring reliable performance of both structured and unstructured data.
TruEra
truera.com
TruEra helps enterprises assess and improve machine learning model quality by providing tools for explainability, bias detection, and performance evaluation.
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.com
The Modular app enables developers to create and deploy applications using independent, self-contained modules for improved flexibility and reusability.
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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