TextQL
Ethan Ding is a co-founder at TextQL, having previously worked in research at Contrary and in data roles at Tackle.io and Bessemer Venture Partners. As a Fellow, Ethan meets experienced tree gardeners and works on overcoming imposter syndrome. Ethan studied at UC Berkeley College of Engineering.
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TextQL
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.