PromptQL is an AI-powered collaborative workspace that enables teams to work with data, documents, business applications, and shared knowledge through natural language. Built by the team behind Hasura, the platform is designed to help organizations create a secure, multiplayer AI assistant that understands company-specific context while respecting user permissions.
Unlike traditional AI chatbots that rely only on individual conversations, PromptQL continuously builds a shared knowledge base as teams work together. It connects with databases, cloud applications, communication platforms, and business tools to answer questions, generate reports, automate workflows, and assist with coding, analysis, and decision-making. The platform is particularly suitable for engineering teams, data analysts, business professionals, and enterprise organizations seeking secure AI collaboration.
Features
Multiplayer AI Workspace
PromptQL allows multiple team members to collaborate in shared AI conversations. Everyone works within the same thread, making collaboration more transparent and reducing duplicated work.
Shared Context Wiki
The platform automatically builds and maintains a shared knowledge repository based on team interactions. Corrections and new information become reusable knowledge for future tasks.
Connects to Business Data
PromptQL integrates with databases, cloud storage, CRM systems, collaboration tools, analytics platforms, and developer tools, allowing users to query live data without copying it elsewhere.
AI Data Analysis
Users can ask questions in plain language, and PromptQL generates SQL queries, performs analysis, creates reports, and produces visualizations such as charts and tables.
Secure Access Control
The platform enforces user-specific permissions when accessing connected systems. Each user only receives information they are authorized to view.
AI Coding Environment
PromptQL includes a secure cloud-based coding environment where AI can write, execute, and test code while maintaining security controls.
Team Collaboration
Colleagues can participate in the same AI conversation, mention teammates, review AI outputs, and contribute additional context.
Task Automation
Routine business tasks can be automated using AI workflows, scheduled jobs, alerts, and action-based processes.
Artifact Generation
PromptQL produces structured outputs such as reports, dashboards, spreadsheets, charts, and summaries that can be shared across teams.
Cross-Platform Availability
The platform is available through a web application, desktop apps, mobile apps, and integrations with Slack and Microsoft Teams.
How It Works
Step 1
Create a PromptQL workspace and invite your team members.
Step 2
Connect your databases, business applications, documents, and collaboration tools.
Step 3
Configure user permissions and access policies for secure data access.
Step 4
Ask questions using natural language or assign tasks to the AI assistant.
Step 5
Review generated reports, dashboards, code, or recommendations.
Step 6
Approve useful corrections and insights so they become part of the shared knowledge base for future use.
Use Cases
Engineering teams can investigate software issues, write code, and collaborate on technical projects.
Data analysts can query multiple databases and generate reports without manually writing SQL.
Business leaders can create dashboards and monitor company performance through conversational AI.
Customer success teams can analyze customer health, support tickets, and renewal risks.
Sales teams can combine CRM data with business metrics to improve account planning.
Marketing teams can analyze campaign performance and customer engagement.
Operations teams can automate repetitive workflows and generate business reports.
Enterprise organizations can securely provide AI access across multiple departments while maintaining governance and compliance.
Pricing
PromptQL offers free introductory credits for new users without requiring a credit card.
After the free credits are used, the platform follows a usage-based pricing model based on Operational Language Units (OLUs), which measure AI resource consumption across supported models. Users can add prepaid credits and configure spending limits. Pricing depends on workload complexity rather than per-user licensing, and enterprise options are available for larger organizations.
Strengths
Supports true team collaboration through shared AI conversations.
Builds a continuously improving organizational knowledge base.
Connects directly with business systems and live data sources.
Enforces user-specific permissions for secure enterprise usage.
Generates reports, dashboards, charts, and other business artifacts automatically.
Supports automation, coding, analytics, and collaboration within one platform.
Available across web, desktop, mobile, Slack, and Microsoft Teams.
Drawbacks
The platform is primarily designed for businesses and enterprise teams rather than casual individual users.
Initial setup may require connecting multiple business systems and configuring permissions.
Organizations with complex infrastructures may need time to build effective shared context.
Usage-based pricing may require monitoring for organizations with heavy AI workloads.
Comparison with Other Platforms
PromptQL differs from many AI assistants by focusing on collaborative work instead of individual conversations. While general AI chatbots primarily answer questions, PromptQL combines secure data access, shared organizational knowledge, workflow automation, business analytics, and collaborative AI within a single environment. Its ability to continuously improve through shared team knowledge makes it particularly valuable for organizations managing complex workflows and data-driven operations.
Customer Reviews and Testimonials
The official website features testimonials from professionals in engineering, customer success, and demand generation who describe improved productivity, reduced context switching, and more effective collaboration after adopting PromptQL. However, independently verified customer reviews and testimonials are not clearly available on the official website.
Conclusion
PromptQL is a comprehensive AI collaboration platform built for modern organizations that want to combine AI assistance with secure business data, shared knowledge, and team collaboration. Its multiplayer AI approach, live data integrations, automation capabilities, and enterprise-grade security make it well suited for engineering teams, analysts, business leaders, customer success professionals, and enterprises looking to improve productivity and decision-making through AI.
