TextQL, a San Francisco, CA-based startup building an AI data analyst that connects clients to business intelligence (BI) tools, semantic layers, and existing documentation, raised $4.1M in Pre-Seed funding.
The round was led by Neo and DCM. Other participants included Unshackled Ventures, Worklife Ventures, PageOne Ventures, FirstHand Ventures, and Indicator Fund. They were also joined by angel investors like dbt CEO Tristan Handy, former Notion founder Chris Prucha, Tackle executives Dillon Woods, John Jahnke, and Brian Denker, Observe CTO Matt Kraning and Braze CPO and SVP of Growth, Kevin Wang and Spencer Burke.
The company intends to use the funds to expand its team, which is currently focused on hiring software engineers and forward deployed engineers.
Led by CEO Ethan Ding, TextQL is on a mission to fully automate steps in the lifecycle of data. To do this, it replicates the experience of working with a human data analyst. Its analyst, called Ana, integrates across the entire data stack and connects to BI tools and points users to existing dashboards when a question has already been asked. It documents semantic layer and can alternate to write semantic layer code when needed. It’s able to do this by referencing documentation from enterprise data catalogs, like Alation, as well as notes in Confluence or Google Drive.
FinSMEs
26/01/2024