PromptQL

PromptQL is a team AI workspace for asking business questions, investigating data, and preserving the context behind decisions. It connects to warehouses, databases, SaaS applications, APIs, and knowledge sources such as Slack, Google Drive, and GitHub. The platform introspects connected schemas and queries data where it lives, so teams can begin without moving or reshaping their information or building a semantic layer first. A typical workflow starts with a plain-language question in a shared thread. PromptQL writes and runs the required queries or code in a secure sandbox, then returns artifacts such as tables, charts, reports, or interactive dashboards. Teammates can join the same thread, mention one another or the agent, review assumptions, and correct mistakes. Those corrections can become cited, scoped entries in a collaborative wiki covering business definitions, reusable skills, and semantic-model changes. Revision history, audit trails, notifications, and editorial controls help teams maintain that shared context over time. PromptQL supports technical, business, operations, and executive users, as well as customer-facing products and other agents that need trusted analytics or retrieval. Access controls can preserve source permissions, including row- and column-level rules, while private threads and restricted channels support sensitive work. Teams can use it on the web, desktop, mobile, or through Slack and Teams.