
TextQL is a platform that simplifies the data-to-insight process for organizations. The platform indexes BI tools and semantic layers, documents data in dbt, and uses OpenAI and language models to provide self-serve power analytics. With TextQL, non-technical users can easily and quickly work with data by asking questions in their work context (Slack/Teams/email) and getting automated answers quickly and safely. The platform also leverages NLP and semantic layers, including the dbt Labs semantic layer, to ensure reasonable solutions. TextQL's elegant handoffs to human analysts, when required, dramatically simplify the whole question-to-answer process with AI.

TextQL is a platform that simplifies the data-to-insight process for organizations. The platform indexes BI tools and semantic layers, documents data in dbt, and uses OpenAI and language models to provide self-serve power analytics. With TextQL, non-technical users can easily and quickly work with data by asking questions in their work context (Slack/Teams/email) and getting automated answers quickly and safely. The platform also leverages NLP and semantic layers, including the dbt Labs semantic layer, to ensure reasonable solutions. TextQL's elegant handoffs to human analysts, when required, dramatically simplify the whole question-to-answer process with AI.
Product: Natural-language, agent-driven analytics that query warehouses, BI tools, and SaaS sources without SQL
Deployments: Can deploy in customer environments (public cloud, VPC, on‑prem) with security/compliance controls
Founding: Co-founded by Mark Hay and Ethan Ding in 2022 (San Francisco)
Funding: $4.1M raised (pre-seed/seed), led by Neo and DCM
Bridging the gap between business users and data by providing natural-language access to analytics across distributed data sources and BI semantic layers.
2022
Analytics / AI-driven data analytics
$4,100,000
Round reported as $4.1M across pre-seed and seed with participation from multiple investors
“Led by Neo and DCM with participation from Unshackled Ventures, Indicator Fund, FirstHand Ventures, Page One Ventures, Worklife Ventures, Dropbox Ventures and individual angels”