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.

Google Cloud Platform
Google Cloud Platform provides cloud computing services—virtual machines, containers, serverless functions, storage, databases, networking and AI/ML tools—for building, running and scaling applications.

Microsoft Fabric
Microsoft Fabric is an integrated platform for data management and analytics, providing tools for data engineering, real-time insights, and collaboration across enterprises.

Databricks
Databricks is a unified platform for data analytics that integrates data engineering, data science, and business analytics using Apache Spark.

SAP
The SAP app streamlines business operations by integrating functionalities for finance, HR, sales, and supply chain management to enhance efficiency and decision-making.

Replicate
The Replicate app allows users to run and fine-tune open-source AI models and deploy custom models using a simple API.

Labelbox
Labelbox is a platform for building AI applications, enabling users to label data, train models, and automate tasks effectively.

Scale AI
Scale AI provides a platform for data curation, labeling, and model evaluation, enabling organizations to develop and deploy AI applications effectively.

SAS
The SAS app provides advanced analytics and AI tools for data management and business intelligence, supporting decision-making across various industries.

Bria
Bria is a visual generative AI platform for creating custom visual content, designed for commercial use with a focus on ethical practices and licensed data.

Weights & Biases
Weights & Biases is an AI development platform for tracking experiments, optimizing models, and collaborating on machine learning projects across various frameworks.

Comet
Comet is a machine learning platform that helps teams track, compare, and improve models throughout the machine learning lifecycle.

Dataloop
Dataloop is an AI development platform that simplifies data management, annotation, and model deployment for developers, data scientists, and engineers.

Edge Impulse
Edge Impulse is a platform that enables developers to create, train, and deploy machine learning models on edge devices efficiently.

V7
V7 is an AI data engine for computer vision. It offers tools for data annotation, management, and collaboration across various industries for training AI models.

Segments.ai
Segments.ai is a data labeling platform for multi-sensor data, offering tools for image, video, and point cloud annotation, with support for various cloud services and ML frameworks.

Kili Technology
Kili Technology helps enterprises efficiently label data to create high-quality datasets for custom AI models, reducing errors in training data.

Openlayer
Openlayer is an evaluation workspace for AI, used to test, track, version models, and monitor production requests for startups and Fortune 500 companies.

PI.EXCHANGE
PI.EXCHANGE is a no-code data science and ML platform that enables users to easily build and deploy predictive models quickly, automating repetitive tasks.

SuperAnnotate
SuperAnnotate is a platform for annotating and managing datasets for AI, supporting various annotation types with automation and collaboration features.

Encord
Encord is a platform for managing AI training data, enabling efficient annotation, model testing, and data organization for machine learning applications.

Statsig
Statsig is a product experimentation platform for managing feature rollouts and running data-driven experiments to optimize applications across various platforms.

Saturn Cloud
Saturn Cloud is a cloud-based ML platform for data science that enables users to develop, deploy, and manage data pipelines with flexible resources and integration tools.

OctoAI
OctoAI provides infrastructure for running, tuning, and scaling generative AI applications, enabling developers to integrate and customize powerful AI models.

Portkey
Portkey is a control panel for managing AI applications, offering features for routing requests, ensuring reliability, tracking performance, and managing security.

Katonic.ai
Katonic.ai is a no-code generative AI platform that allows enterprises to build AI applications for content generation, data processing, and task automation.

Robust Intelligence
Robust Intelligence provides automated protection for AI applications, detecting vulnerabilities and enforcing security measures to ensure safe deployment.

TrueFoundry
TrueFoundry is a PaaS for machine learning teams to build, deploy, and manage AI applications efficiently on their own cloud or on-premise infrastructure.

hasty.ai
Hasty.ai offers a platform for rapidly labeling images and videos using AI-assisted technology, producing high-quality data for AI model development.

Credo.ai
Credo.ai is an AI governance platform that automates oversight, risk management, and compliance with global regulations for responsible AI use in enterprises.

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

VESSL AI
VESSL AI streamlines the building, training, and deployment of machine learning models with managed infrastructure and tools.

Qwak
Qwak is an AI platform for managing the lifecycle of machine learning models, enabling data transformation, model training, deployment, and monitoring in one place.

Arize AI
Arize AI is a platform for monitoring and evaluating AI models in production, aiding developers in performance tracking, debugging, and improving AI applications.

CoreWeave
CoreWeave provides scalable GPU cloud computing resources mainly for AI, ML, VFX, and rendering, optimized for performance and cost-efficiency.

neptune.ai
Neptune.ai is an app for logging, organizing, and sharing ML model metadata, facilitating collaboration and integration with various MLOps setups.

Labellerr
Labellerr is a platform for efficient image labeling, providing quality annotations for computer vision models with features for collaboration and guideline management.

Datature
Datature is a no-code platform for managing datasets and training computer vision models, facilitating collaboration and deployment for various industries.

Model Share
Model Share is an AI MLOps platform for managing ML projects, tracking progress, and deploying models, featuring a database for reusable models and code sharing.

Gurobi
Gurobi is a mathematical optimization solver used to efficiently solve complex optimization problems across various industries for improved decision-making.

Mona
Mona provides monitoring tools for data, models, and processes, helping teams identify and fix performance issues in AI and automation workflows.

Superwise
Superwise.ai monitors and ensures the performance of AI models in production, helping organizations manage risks and optimize decision-making.

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

Rasgo
Rasgo enables users to query enterprise data warehouses using natural language, converting requests to SQL and uncovering insights automatically.

Modelshop
Modelshop allows users to create and deploy AI models without coding, enabling faster implementation of intelligent solutions in business processes.

ZenML
ZenML is an open-source MLOps framework that helps users create, manage, and deploy machine learning pipelines across different environments.

Veritone
Veritone Attribute provides near real-time performance metrics for broadcast advertisements, correlating them with website analytics to enhance marketing attribution for media broadcasters.

Arthur
Arthur app helps optimize AI model operations in accuracy, explainability, and fairness for data scientists and business leaders.

Verta
Verta is a platform that helps organizations manage the entire lifecycle of machine learning models, from development to deployment and governance.

Kognic
Kognic is a data management platform that processes and analyzes large datasets for ADAS/AD systems, aiding in data-driven decision-making and efficiency.

Deeploy
Deeploy offers a platform for organizations to implement explainable and accountable AI models, fostering collaboration between AI creators and users.

Imandra
Imandra is a cloud-native automated reasoning engine that analyzes and optimizes algorithms for reliability and efficiency in complex software systems.

MLJAR
MLJAR is a data science platform that simplifies machine learning by automating model selection and deployment, with tools for coding, data exploration, and user support.

Kolena
Kolena is an ML testing platform that enables teams to test model performance, identify failure modes, and track gaps for better understanding and communication.

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

UbiOps
UbiOps is a platform for deploying, managing, and monitoring data science and AI models as web services, enhancing productivity and scalability for analytics workflows.

Faros AI
Faros AI consolidates engineering data for improved visibility in software development, facilitating decision-making and resource allocation through integrated analytics.

Picsellia
Picsellia is an AI development platform for image processing, enabling users to manage data, track experiments, deploy models, and monitor performance effectively.

JFrog
JFrog is a DevOps platform for managing software delivery, providing artifact management, CI/CD automation, and security across multiple deployment environments.

Superb AI
Superb AI is a platform that streamlines data management, annotation, model training, and deployment for machine learning projects, enhancing workflow efficiency.

InRule
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.
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