PromptQL

PromptQL provides a multiplayer AI workspace that lets teams collaborate with a shared context wiki. It connects to data sources, enforces per-user data permissions, and enables team members to ask questions, get artifacts, and collaborate in real time. The product is designed for teams handling data across systems who need trust, collaboration, and auditable results.

PromptQL offers a cloud-based secure coding environment for the AI to write and run code without leaking credentials. It supports onboarding teams so they can use PromptQL via the app or as an AI agent within Slack or Teams, while maintaining security guardrails across heterogeneous systems.

PromptQL emphasizes a shared context that compounds accuracy through multiplayer teaching. It enables users to seed business context, build dashboards and reports, and surface AI-driven analysis through a single interface that captures decision traces.

PromptQL markets its offerings across plans with enterprise options and private deployments. It supports dedicated environments, per-user permissions, and private by default operation, with a model lineup and integration options that scale to registered users and regulated environments.

Use cases

• Connect databases (Postgres, Snowflake, BigQuery, Databricks, and more) and SaaS integrations (GitHub, Slack, Salesforce, Google Workspace, and many others). PromptQL queries data where it lives — no copying into a warehouse, no ETL pipelines to build — with per-user permissions enforced at the data layer.