TLDR:
– San Francisco-based startup TextQL has raised $4.1 million in Pre-Seed funding.
– The funding round was led by Neo and DCM, with participation from other investors including Unshackled Ventures, Worklife Ventures, PageOne Ventures, FirstHand Ventures, and Indicator Fund. The round also saw participation from angel investors such as 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 plans to use the funding to expand its team and hire software engineers and forward deployed engineers.
– TextQL aims to automate steps in the data lifecycle by building an AI data analyst called Ana.
– Ana integrates across the entire data stack, connects to BI tools, and points users to existing dashboards when a question has already been asked.
– It can reference documentation from enterprise data catalogs and notes in Confluence or Google Drive to replicate the experience of working with a human data analyst.
– The company’s CEO is Ethan Ding.
San Francisco-based startup TextQL has raised $4.1 million in Pre-Seed funding. The funding round was led by Neo and DCM, with participation from other investors including Unshackled Ventures, Worklife Ventures, PageOne Ventures, FirstHand Ventures, and Indicator Fund. The round also saw participation from angel investors such as 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 plans to use the funding to expand its team and hire software engineers and forward deployed engineers.
TextQL’s goal is to automate steps in the data lifecycle by building an AI data analyst called Ana. Ana integrates across the entire data stack, connects to BI tools, and points users to existing dashboards when a question has already been asked. It can reference documentation from enterprise data catalogs and notes in Confluence or Google Drive to replicate the experience of working with a human data analyst.
This funding will enable TextQL to further develop its technology and expand its team to meet growing demand for its AI data analyst platform. The company’s CEO, Ethan Ding, is excited about the opportunity to revolutionize the way businesses analyze and utilize their data. With the funding, TextQL aims to accelerate its growth and continue making advancements in AI-driven data analysis.
