Spice AI is building the operational data lakehouse for the AI era - an open-source SQL federation, data acceleration, and hybrid search engine designed for data-intensive AI applications. The platform enables developers to ground AI applications and agents in enterprise data with zero ETL, delivering up to 100x faster queries and up to 80% cost savings on data lakehouse spend. Trusted by global enterprises including Twilio, Barracuda, and NRC Health, Spice AI provides a unified runtime that combines query federation, search, and embedded AI inference to help development teams build more responsive and intelligent applications.
Founded by Luke Kim and Phillip LeBlanc with a mission to make building AI-powered software as easy as creating a modern web application, Spice AI offers both open-source and fully managed cloud deployments. The company has raised $13.5M in seed funding led by Madrona Ventures, with participation from Basis Set Ventures, Picus Capital, Protocol Labs, and strategic angels including GitHub CEO Thomas Dohmke and Azure CTO Mark Russinovich. Spice AI's platform connects to and queries operational databases, data lakes, and warehouses across the enterprise, materializing and accelerating working sets in-memory or on disk for millisecond access.