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PromptQL.

Turn scattered conversations into shared intelligence that grows with your team

Replace fragmented Slack chats with collaborative AI. PromptQL lets teams share threads, tag teammates, and build compounding knowledge with connected data sources.

Rank
▲ #32
Votes
123
Platform
Web / Mobile
Launched
Recently
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More About PromptQL

PromptQL

PromptQL is a multiplayer AI platform that transforms how teams work with artificial intelligence by creating persistent, shared context across your entire organization. Unlike traditional AI tools that start fresh every session, PromptQL learns continuously from corrections and feedback, building a collective knowledge base that improves with every interaction. It connects seamlessly to your existing tools—Slack, Salesforce, Snowflake, GitHub, and more—to surface relevant context exactly when you need it, eliminating repetitive explanations and fragmented information silos.

Product Highlights

  • Multiplayer AI Threads: Collaborative AI conversations where team members can jump in, correct assumptions, and contribute expertise in real-time, creating a shared record of decisions and reasoning.

  • Self-Learning Knowledge Base: Every correction becomes reusable knowledge—skills, semantic models, and team wisdom that compound over time instead of decaying in unused wikis.

  • Transparent Source Citations: See exactly where information comes from with full visibility into data sources, assumptions made, and reasoning steps—enabling trust and verification.

  • 60-Second Context Bootstrapping: Automatically ingests and organizes knowledge from Slack, documents, tickets, CRMs, and data warehouses to seed your team's shared intelligence.

  • Governance with Scopes: Enterprise-grade access controls that handle confidential, external, and personal use cases with granular permissions and audit trails.

Use Cases

  • Customer Success Intelligence: Analyze churn risk by pulling together usage data, support ticket sentiment, and historical context—then capture corrections from subject matter experts to improve future predictions.

  • Revenue Operations: Query financial data across systems with automatic detection of stale sources and suggestions for updated semantic definitions as business logic evolves.

  • Cross-Functional Project Work: Eliminate status meetings by maintaining living AI threads where work and discussion happen together, with full context visible to all stakeholders.

Target Audience

PromptQL is built for mid-to-large organizations with complex data landscapes and collaborative workflows—particularly customer success, revenue operations, data, and product teams who are tired of repeating themselves and losing critical context across tools and handoffs.