
Mage Technologies, Inc. offers Mage AI, an AI-powered data engineering platform that enables developers and data teams to build, deploy, and run data pipelines quickly and at scale. The platform supports batch, streaming, machine learning, and retrieval-augmented generation pipelines through an intuitive interface combining Python, SQL, R, and dbt. Mage AI features AI-assisted coding, debugging, and best practice recommendations, modular pipeline blocks, and a collaborative DevOps environment with continuous deployment and monitoring. It provides extensive extensibility with over 100 API endpoints, global hooks for custom logic, and granular security controls. Mage AI supports deployment in managed cloud, hybrid cloud, private cloud, and on-premises environments, catering to enterprises with strict compliance and security needs. The business model includes subscription plans with usage-based pricing and enterprise custom plans. Mage AI is positioned as a flexible, scalable, and customizable data infrastructure solution that reduces operational overhead and accelerates data engineering workflows for organizations.

Mage Technologies, Inc. offers Mage AI, an AI-powered data engineering platform that enables developers and data teams to build, deploy, and run data pipelines quickly and at scale. The platform supports batch, streaming, machine learning, and retrieval-augmented generation pipelines through an intuitive interface combining Python, SQL, R, and dbt. Mage AI features AI-assisted coding, debugging, and best practice recommendations, modular pipeline blocks, and a collaborative DevOps environment with continuous deployment and monitoring. It provides extensive extensibility with over 100 API endpoints, global hooks for custom logic, and granular security controls. Mage AI supports deployment in managed cloud, hybrid cloud, private cloud, and on-premises environments, catering to enterprises with strict compliance and security needs. The business model includes subscription plans with usage-based pricing and enterprise custom plans. Mage AI is positioned as a flexible, scalable, and customizable data infrastructure solution that reduces operational overhead and accelerates data engineering workflows for organizations.
What they do: AI-native data engineering and orchestration platform for building, deploying, and running production data and AI pipelines
Deployments: Managed cloud, hybrid cloud, private cloud, and on-premises
Founders: Tommy Dang (Co‑founder & CEO) and Xiaoyou Wang (Co‑founder & CTO)
Employee count: ~80
Known funding: $11.79M total disclosed (latest funding date: 2023-03-16)
Data engineering, pipeline orchestration, and productionization of data/AI workflows
Data engineering / AI infrastructure
6300000.00
Seed round reported at $6.3M with participation from Neo, Designer Fund, and angel investors
Last funding date reported in company snapshot
5000000.00
Additional $5M investment referenced in company blog reporting (included previous investors and angels)
“Gradient Ventures; other institutional investors include Neo, Designer Fund; angels include multiple named individuals”