Mage

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Mage: AI-Native Data Engineering Workspace

Mage is a collaborative data engineering platform built for developing modern data and AI applications. Designed for data engineers and scientists, Mage simplifies the creation of data pipelines, ML workflows, and RAG/LLM orchestration with an intuitive, AI-assisted interface.

Key Features:

Build batch, streaming, ML, and RAG pipelines
Use Python, SQL, R, and dbt in one workspace
AI-powered debugging and pipeline automation
Reusable blocks, DevOps tooling, and scalable architecture

About Us:

Founded: December 1, 2020
HQ: Santa Clara, California
Team: 25+
Funding: $11.8M

Mage enables seamless data integration, transformation, and orchestration—empowering teams to accelerate product delivery and scale effortlessly.

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