Mage provides a collaborative workspace that streamlines the data engineering workflow, enabling rapid development of data products and AI applications. Data engineers and data professionals use Mage to build, run, and manage data pipelines, AI/ML pipelines, build Retrieval Augmented Generation systems (RAG), and LLM orchestration. Mage is the only data platform that combines vital data engineering capabilities to make AI engineering more accessible.
| Website | https://mage.ai |
| Employees | 83 (24 on RocketReach) |
| Founded | 2021 |
| Industry | Software Development |
| Keywords | Data Engineering, Ai Applications, Data Products, Collaborative Workspace, Machine Learning, Data Integration, Workflow Automation, Etl Processes, Data Science, Big Data, Model Development, Data Transformation, Data Visualization, Data Analytics, Predictive Modeling, Data Governance, Data Management, Data Processing |
| Competitors | Amazon, Microsoft, Google, IBM, Alteryx, TIBCO Streaming, H2O.ai, DataRobot, Altair RapidMiner, Data Science Leaders Podcast +44 more (view full list) |
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Tommy Dang is the Co-Founder and CEO of Mage.
24 people are employed at Mage.
Mage is based in Santa Clara, California.