PromptQL is a team AI coworker from Hasura that connects to company data and context so users can ask business questions across shared sources.

PromptQL is built by the team at Hasura, the company behind Hasura GraphQL Engine and Hasura DDN.

How is PromptQL priced?

PromptQL uses OLU-based usage pricing. The pricing page lists $0.14 per OLU as an introductory rate and $0.20 per OLU as the standard rate.

Is there a free tier?

Yes. PromptQL says new projects can receive up to $100 in free credits, plus up to $70 more for each teammate who joins.

Where can teams use PromptQL?

Teams can use PromptQL through the web app, desktop apps, mobile apps, Slack, Microsoft Teams, and embedded surfaces.

What is PromptQL best for?

PromptQL is best for data, operations, product, finance, and business teams that want AI answers grounded in connected company data and shared context.

PromptQL

Name: PromptQL
Brand: PromptQL

Team AI coworker for querying business data, docs, context, and workflows.

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What is PromptQL?

TL;DR

PromptQL is an AI data and application platform that lets users work with models, data, tools, and sandboxes through natural-language workflows and usage-based compute. It is aimed at teams and builders who want practical, repeatable workflows with AI.

Multiplayer AI coworker for teams and shared context
Connects data sources, documents, and authorization rules
Works through app, desktop, mobile, Slack, and Microsoft Teams

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About

PromptQL is a team AI coworker from Hasura for asking business questions across connected data, documents, and shared context. It helps teams plug in data sources, build a shared context wiki, and use the AI through the PromptQL app, desktop clients, mobile apps, Slack, Microsoft Teams, or embedded surfaces. The product is built for teams that want an AI agent to reason over company data instead of answering from a generic chat window. PromptQL provides infrastructure for secure code execution in the cloud, data connectors, authorization, project-level context, shared threads, and model choice across proprietary and open-weight models. PromptQL uses usage-based pricing around OLU, or Operational Language Unit, which normalizes token usage across models and token types. The pricing page lists an introductory $0.14 per OLU rate, a standard $0.20 per OLU rate, free credits for new projects, and enterprise options for larger teams. For FutureStack, PromptQL belongs in AI Agents because it turns business data and team context into a collaborative AI system. It is best for analytics, operations, product, finance, and data teams that want AI answers with connected sources, shared context, and governed access.

Use Cases

Natural Language Data Work

Use natural-language instructions to work with data, models, tools, and application environments.

AI Application Building

Prototype AI-powered workflows with model access, tools, and sandboxed execution.

Model Cost Control

Choose models and usage patterns with a normalized unit system for tracking AI consumption.

Enterprise AI Workflows

Use permissions, audit trails, networking, and custom model options for larger deployments.

Key Features

Multiplayer AI coworker for teams and shared context
Connects data sources, documents, and authorization rules
Works through app, desktop, mobile, Slack, and Microsoft Teams
Usage-based OLU pricing with model choice and free credits

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