Skip to main content

Queryomega

OmegaAI provides a generative operating system that lets AI agents manage business operations end to end. The platform connects agents to CRMs, email, ads, billing, and analytics through a plugin marketplace, then models business workflows to optimize KPIs like revenue and churn. Every agent action is logged, traceable, and reversible, keeping human oversight central.

Austin, United States · HQ
410+ followers
Updated yesterday

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Businesses struggle to apply AI agents in production because integrating them with existing tools requires custom code, maintaining multiple connections is costly, and opaque agent behavior makes supervision difficult. This prevents teams from capturing the efficiency gains of autonomous workflow execution without significant engineering overhead.

Solution

OmegaAI is a purpose-built business platform that gives AI agents native, no-code access to a company's core systems—CRM, email, ads, billing, and analytics—through a plugin marketplace. Agents model the business as a system, identify bottlenecks, and automatically deploy optimized workflows targeting top-level KPIs such as revenue, margin, churn, and cycle time. The platform manages the full operational loop, from connecting tools to running workflows, without requiring glue code or manual context transfer. A supervision layer logs every agent decision, making actions fully traceable and reversible, so leadership can approve, override, or step in at any point.

Target Audience

Operations leaders, revenue teams, and enterprise executives at mid-sized to large companies who want to automate cross-functional workflows while retaining control over business-critical decisions.

Features

  • Plugin marketplace with native integrations for CRM, email, ads, billing, and analytics, eliminating custom integration maintenance
  • System-level business modeling that identifies bottlenecks and recommends workflow deployments focused on key metrics
  • Autonomous workflow execution that runs operations end to end without code or manual oversight
  • Full decision logging and traceability with reversible actions for every agent step
  • Human-in-the-loop approval controls that allow leadership to monitor numbers and intervene as needed
  • Default transparency features that surface agent decisions and performance data in an accessible interface
This profile is AI-generated and may contain inaccuracies.