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Mage is an AI-native data platform that helps enterprises build and run AI-powered data workflows. It automates pipelines, orchestrates models, and scales analytics within a unified platform.
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Mage is an AI-native data platform designed for enterprises to build and run reliable data pipelines for the AI era. It enables users to design, schedule, and monitor production-ready pipelines using SQL, Python, R, and dbt. The platform integrates data from various sources like APIs, databases, and streams, ensuring data is current and reliable. Mage offers features for ingestion, orchestration, and recovery, including AI-powered code generation, natural language debugging, and the ability to run AI systems on production data. It supports both batch and streaming data, schema validation, and provides robust reliability features like backfills and partial reruns, making it ideal for powering analytics, applications, and AI systems.
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Pricing & Plans
Freemium · Paid · Enterprise · Usage-based
Not publicly disclosed. Check mage.ai for current pricing.
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