In a boost for platforms simplifying AI development, Mage, a collaborative workspace designed to streamline data engineering workflows, has secured $5.5M in Seed funding. The company aims to make AI engineering more accessible by enabling rapid development of data products and AI applications.
Mage's platform is built for data engineers and professionals, offering tools to build, run, and manage a range of pipelines, from general data and AI/ML to more specialized Retrieval Augmented Generation (RAG) systems and LLM orchestration. It stands out as the only data platform that integrates these vital data engineering capabilities.
