QX provides AI colleagues that work inside Slack, Teams, WhatsApp, or email, connecting to a company's CRM, documents, and 1,000+ apps to complete tasks and hand back finished work. These agents can be briefed like teammates, act within connected tools, and scale from single chats to thousands of parallel runs. The platform includes a template gallery and supports switching between models from OpenAI, Anthropic, and Google without rebuilding agents.
Funding
Funding not disclosed
Founders
Product
Problem
Teams spend significant time on repetitive operational tasks like drafting emails, updating records, and managing tickets, which pulls them away from higher-value work. Traditional AI chatbots provide answers but cannot take action within the tools teams already use, requiring manual follow-through and limiting productivity gains.
Solution
QX gives teams AI colleagues that operate inside their existing communication platforms—Slack, Teams, WhatsApp, or email—and use connected business tools to complete tasks end to end. Agents are briefed like a new hire, given access to specific documents and apps, and then can draft messages, update CRM records, produce files, and control their own computer to deliver finished work. The platform supports both one-on-one chat and large-scale parallel execution across a grid, allowing teams to run thousands of agent instances simultaneously. Every action is logged with sources and citations, providing an audit trail that lets users verify work the way they would check a colleague's output.
Target Audience
Primary customers are AI-native teams and go-to-market organizations that need to automate operational workflows and delegate tasks to AI agents within their existing communication and business tool stack.
Features
- Connects to 1,000+ apps including CRM, email, SharePoint, Drive, and Notion for both reading and acting within those systems
- Agent Builder that writes instructions, picks a model, and connects apps automatically from a one-sentence job description
- Multi-channel access via Slack, Microsoft Teams, WhatsApp, email, or API with @mention functionality and conversation context retention
- Model-agnostic architecture allowing per-agent selection from OpenAI, Anthropic, Google, and others with seamless switching as new models ship
- Grid execution engine that runs agents across thousands of rows in parallel for large-scale task processing
- Full audit logging of every run, including inputs, tool calls, outputs, and costs, with clickable source citations on every answer
- Template gallery with community-built, ready-made agents and skills that can be cloned and connected to user tools in one click
- ISO 27001:2022 certified and GDPR compliant with no training on customer documents or runs