Best Artificial Intelligence (AI) APIs for Amazon SageMaker

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Compare the Top Artificial Intelligence (AI) APIs that integrates with Amazon SageMaker as of August 2025

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This a list of Artificial Intelligence (AI) APIs that integrates with Amazon SageMaker. Use the filters on the left to add additional filters for products that have integrations with Amazon SageMaker. View the products that work with Amazon SageMaker in the table below.

What is Artificial Intelligence (AI) APIs for Amazon SageMaker?

Artificial Intelligence APIs are software that provide access to advanced technology, AI, and machine learning algorithms designed to solve complex problems. They allow developers to create applications with smarter artificial intelligence features such as natural language processing, image recognition, and more. Many companies use AI APIs to automate tasks or gain insights into customer data so they can improve their products or services. AI APIs are constantly evolving, enabling businesses to benefit from cutting-edge technologies while decreasing the time required for development. Compare and read user reviews of the best Artificial Intelligence (AI) APIs for Amazon SageMaker currently available using the table below. This list is updated regularly.

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    Amazon Augmented AI (A2I)
    Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers. Many machine learning applications require humans to review low confidence predictions to ensure the results are correct. For example, extracting information from scanned mortgage application forms can require human review in some cases due to low-quality scans or poor handwriting. But building human review systems can be time consuming and expensive because it involves implementing complex processes or “workflows”, writing custom software to manage review tasks and results, and in many cases, managing large groups of reviewers.
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