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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Superb AI
superb-ai.com
Superb AI is a platform that streamlines data management, annotation, model training, and deployment for machine learning projects, enhancing workflow efficiency.
Datature
datature.io
Datature is a no-code platform for managing datasets and training computer vision models, facilitating collaboration and deployment for various industries.
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.
InRule
inrule.com
InRule is a cloud platform to create, manage, and deploy business rules, decision logic, and workflows, with explainable AI and governance for real-time automated decisions.
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.
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