
PromptQL
An AI-native workspace designed to turn team interactions into actionable, proprietary data for agentic workflows.
About
PromptQL is a spin-off from Hasura that is pivoting from an AI data tool into a comprehensive, AI-native workspace. It aims to transform casual team interactions into a persistent, secure memory for agentic workflows. By distilling conversations into actionable, organized data, PromptQL creates an internal wiki that companies can rely on, ensuring that work-related discussions are not lost but become a foundation for AI agents.
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Key facts
- Website
- promptql.io
- Headquarters
- San Francisco, United States
- Founded
- 2023
- Business model
- B2B
PromptQL pricing
| Plan | Price |
|---|---|
| PlaygroundFree workspace to build multiplayer bots | $0 / month |
| TeamShared context: Knowledge, Skills, Semantic layer | $40 / month |
| EnterpriseEverything in Team, Unlimited users, Single-tenant deployment | $1,000 / month |
| CustomBYOC or self-hosted deployment, Bring your own models, Dedicated forward-deployed team | Contact sales |
Prices are shown per month. Team starts at $40 per user per month, billed weekly in $40 increments, every user starts free. Enterprise is consumption based with a monthly minimum commit. Custom is contract pricing.
Plans as published by PromptQL, checked September 2026. Current prices on promptql.io
Tech stack
Detected on promptql.io, last scanned 4 Nov 2026. Run your own scan
- Frontend
- Next.js, Tailwind CSS
- SEO
- Bitly
- CDN
- Cloudflare
- Email provider
- Google Workspace
- Email marketing
- Adobe Marketo
- Video / media
- Cloudinary
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Frequently asked
What does PromptQL do?
The platform allows messages to automatically become assignments, with AI agents performing tasks based on shared context and human approval.
Is PromptQL trustworthy and reputable?
StartupHub's Data Trust & Reputation score for PromptQL is 72 out of 100, a generally safe rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
A tool we built
AI Agent Readiness
Score how well an agent can read and use a site: llms.txt, MCP, schema, and payments. Use it before you claim a site is agent-ready.
Need it connected to PromptQL or your own stack? Ask for a custom integration. We reply within 2 days.
SEC filings, insider activity, nonprofit links and pay benchmarks for PromptQL:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules


