TextQL

What is TextQL?

TextQL is a virtual data analyst powered by AI. It lets you ask questions about your business data in plain English and delivers insights, charts, and analysis in response. It integrates with your existing data infrastructure and collaboration tools like Slack and Teams.

TextQL’s AI, named Ana, works within your company’s existing data systems. It indexes your organization’s entire data catalog, including messy metadata locations, and shows definitions with links to verified sources. Ana also understands when different teams define the same terms differently. Its language model is fluent in SQL and Python, which supports its compliance and security capabilities.

You can configure TextQL to meet specific compliance needs, protect data with privacy features such as anonymization, and customize how it works for your team.

Who created TextQL?

TextQL was developed by a company focused on data rather than primarily an AI company. It first launched on December 3, 2022. The goal was to create a personal, virtual data analyst for businesses — one that improves business insights through natural-language questions and integrates into a team’s existing data platforms.

What is TextQL used for?

• Ask questions about business data in plain language to get insights.
• Create data visualizations and build data models.
• Avoid duplicate dashboards and reduce dashboard redundancy.
• Manage your enterprise data catalog.
• Ensure compliance with any set of standards.
• Handle data definitions and metadata, including indexing messy metadata locations and showing definitions with verified links.
• Navigate the semantic layer.
• Collaborate across platforms like Slack and Teams.
• Anonymize data to ensure privacy.

Who is TextQL for?

TextQL serves many industries, including Media, Telecom & Entertainment, Marketing Analytics, Manufacturing, Retail, Logistics, Healthcare, and Financial Services. It offers custom workflows and data integration to fit different organizations’ needs, making collaboration smoother and data exploration more precise.