Built for regional contact centers that need serious QA coverage
QaTracker.ai is an AI quality-assurance platform for enterprise contact centers. It analyzes inbound and outbound customer conversations against company-specific quality and compliance criteria, then turns those conversations into structured scores, alerts, reports, and coaching insights.
Traditional call-center QA remains manual, slow, subjective, and limited to small samples. That model leaves too much of the week unseen. QaTracker exists to give QA, compliance, and operations teams broader coverage, more consistent evaluation, and better evidence for human decisions.
The team has conducted more than 30 interviews across six industries with CEOs, COOs, QA managers, compliance officers, and customer-experience leaders. Those conversations informed the product direction. They are not presented here as universal proof of demand or readiness to buy.
Primary buyers
- Chief Operating Officers
- Heads of Customer Experience
- Contact Center Directors
- QA Managers
- Compliance Officers
- Customer Service Directors
- Operations leaders
- Risk and internal-control teams
Operating focus
- Organizations with approximately 20 to 500 or more agents and thousands of weekly calls
- Current focus on Georgian and English, with planned expansion into Russian, Turkish, and Kazakh
- Initial focus on Georgia, the Caucasus region, Kazakhstan, and Central Asia
Market direction
- Georgia
- Caucasus region
- Kazakhstan and Central Asia
- Longer-term: Turkey, Middle East, Eastern Europe