TextQL

Overview

Your personal virtual data analyst, powered by AI.

TextQL serves as a personal, virtual data analyst designed for enterprises. This AI-driven platform allows users to seek business insights through natural English queries. TextQL's technology, embodied by the AI named Ana, constructs comprehensive analyses, creates visual representations of data, and generates robust models. The unique feature of TextQL is its integration within a team's preexisting data platforms, which enables Ana to function where the team is already active. This includes collaborating through platforms like Slack and Teams.TextQL finds its usability across business intelligence systems, serving as a primary point of contact to locate any metric or dashboard. Moreover, it prevents redundancy in dashboard creation by retrieving any existing dashboard. Ana can also manage an enterprise's entire data catalog. It can index various locations where messy metadata might be stored, surface definitions from any stored location with verified links, and recognize different definitional uses across teams.TextQL employs a language learning model fluent in SQL and Python and can be configured to adhere to any compliance standard. This allows for secure and compliant deployments. Workflows are designed to suit an organization's needs, and industry-leading guardrails enable data anonymization, ensuring privacy. This makes TextQL a powerful tool with expansive data integration, analysis, and management capabilities that cater to various industries.

What it does

TextQL is designed around a clear use case and a lightweight workflow. It is useful for individuals and teams that want to test AI capabilities without adding unnecessary complexity to their stack.

Who should use it

TextQL can be useful for creators, marketers, business owners, and small teams exploring AI tools for Business intelligence. Visit the official website, test it on a real task, and compare the output with your goals before making it part of your workflow.