Picsellia |
| Description | Create customized monitors for machine learning models with magically-simple monitor builder, and get alerts for issues like concept drift, model performance degradation, bias and more. Aporia integrates seamlessly with any ML infrastructure. Whether it’s a FastAPI server on top of Kubernetes, an open-source deployment tool like MLFlow or a machine learning platform like AWS Sagemaker. Read more | Arize offers a production ML analytics platform that helps quickly catch model and data issues, diagnose the root cause, and continuously improve performance for your products and business. With Arize, work with any model framework, from any platform, in any environment. Read more | Google Cloud AutoML is a custom platform that helps developers with limited machine learning experience gain access to various tools to create high-quality machine learning models specific to their ever-changing business needs. When you sign up above, new customers get $350 in credits to try AutoML and other products on Google Cloud. It works as a unified portal where users can deploy and scale more AI models on the go. It also allows creators to prepare a database of their own and use it to store information. Developers can use the platform to create machine learning models that detect objects in images and tell customers what they are and how many. Other essential functionalities available within the software are a seamless ML model deployment facility at the edge, streaming video analysis, REST API integration, immense dataset support, custom sentiment analysis, shot change detection, compatibility with 50+ languages, and custom model translation functionality. Read more |
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Intuitive User Interface, Easy Data Visualization, Seamless Integrations, Improved Model Performance Limited Database Support, Lack of Advanced Features, Limited Customer Support, Lack of Dark Theme Support |
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| Review Summary |
Aporia is generally well-received for its user-friendly interface and ease of setup. Users praise its intuitive design, which helps them quickly understand and analyze data. Integration with AWS is also highly regarded. While users appreciate the platform's simplicity, some request dedicated areas for questions and suggest increased support for legacy databases and older reports. Aporia is proving valuable in solving data quality issues, enhancing model performance, and facilitating communication within teams. |
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Community Plan Free Professional Plan Custom |
Free Free Pro Custom Business Custom Enterprise Custom |
Cloud AutoML Custom |
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Located in: Berkeley, California Founded in: 2020 |
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