TextQL, a startup focused on automating data analysis, has raised $4.1 million in funding across pre-seed and seed rounds co-led by Neo and DCM. TextQL aims to provide non-technical workers with the tools they need to access critical data and make informed business decisions. The company’s AI data analyst, Ana, integrates with existing business intelligence tools, semantic layers and documentation to replicate the experience of working with a human data analyst.
TextQL’s mission is to fully automate every step in the data analysis process. Its platform offers features such as a dynamic Metadata engine for services like Notion and Google Drive, business intelligence compatibility with Tableau, Looker and PowerBI, an AI-boosted semantic layer, a Python-proficient language model and a Slack integration. TextQL also plans to launch key technology partnerships in the coming months.
The company is already partnering with organizations in industries such as media, healthcare and financial services. Its funding will be used to expand the TextQL team with a focus on engineering talent and onboard ten more companies in the second quarter of this year.
