TextQL – a startup building an AI data analyst that connects to your business intelligence (BI) tools, semantic layers, and existing documentation – announced that it raised $4.1 million across pre-seed and seed rounds that was co-led by Neo and DCM. The other participants in the round include VC firms Unshackled Ventures, Worklife Ventures, PageOne Ventures, FirstHand Ventures, & Indicator Fund. And 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.
TextQL’s goal is to automate every single step in the data lifecycle fully. This is done by replicating the experience of working with a human data analyst. TextQL’s analyst Ana integrates across the entire data stack. Ana connects to your BI tools and points users to existing dashboards when a question has already been asked. It documents your semantic layer and can alternate to write semantic layer code when needed. The platform is able to do this by referencing documentation from enterprise data catalogs, like Alation, and notes in your Confluence or Google Drive.
Despite the challenges, TextQL is partnering with organizations with tens of thousands of employees in industries like media, bio and life sciences, manufacturing and financial services. And TextQL has recently announced participation in the NBA Launchpad program as an accelerated way to bring the NBA’s data platform on an AI-native path.
This funding round will be used to expand the TextQL team, which is currently focused on hiring software engineers and forward deployed engineers to join their team of ex-founders to work across data engineering and language model training. With this expanded team, they expect to have the capacity to onboard ten more companies in the next quarter.
The latest features from TextQL’s Ana platform encompasses a dynamic Metadata engine for indexing from Notion, Confluence, Google Drive, and Microsoft Office; business intelligence compatibility with Tableau, Looker, and PowerBI; an AI-boosted semantic layer for dbt, Cube, and LookML; a Python-proficient language model that’s HIPAA and SOC 2 compliant; and a Slack integration for on-the-go team communication.
In the coming months, TextQL anticipates the launch of key technology partnerships with preferred semantic layers, business intelligence platforms, and data catalogs.
KEY QUOTES:
“With the rise of data came another issue: non-technical workers were not given the tools to find the answers they needed in the data, until TextQL. We’re excited about the work that TextQL is doing to help non-technical workers across various industries and organizations access the critical data they need to make informed business decisions, and we see TextQL as the solution to free data analysts from the monotony of pulling data requests with their virtual data analyst.”
- Hurst Lin, General Partner at DCM
“Every conversation about self-service analytics with data practitioners starts with an eye roll. They’ve been sold disappointing self-service products for the past 15 years that are always ready tomorrow, after another new BI tool or a bit more data modeling. TextQL is built to mimic the hierarchy of responses a human analyst goes through – operating across your data stack without any migration. It browses your BI tools, queries your semantic layer, reads your dbt documents, and asks for help when it doesn’t know what to do. This is the hardest unsolved problem at the intersection of enterprise data, AI and user experience – but the difficulty of the problem has attracted a ton of really incredible people to our team.”
- Ethan Ding, CEO and co-founder of TextQL
“I’ve been blown away by TextQL’s bold vision and Ethan’s technical leadership. The world of data is at the brink of a seismic shift as AI relieves us from manually organizing database tables and writing SQL. TextQL will unlock a massive surge in data usage where anybody in an org can access data and get insights just by asking questions instead of waiting for the engineers to construct queries.”
- Ali Partovi, CEO of Neo
