CallChecker is an AI-powered customer conversation analytics platform designed for contact centers, fintech, insurance, healthcare, and other businesses that manage large volumes of customer interactions. The platform helps companies automatically analyze calls, chats, and emails, turning everyday customer conversations into actionable business insights.
CallChecker uses AI for speech-to-text transcription, conversation analysis, quality scoring, and customer service analytics. Instead of manually listening to a small sample of calls, quality managers can automatically evaluate a much larger share — including 100% of recorded conversations — using customizable quality scorecards and business rules.
The platform analyzes conversations against predefined quality criteria, helping businesses measure operator performance, identify missed steps, detect recurring customer issues, and improve compliance with internal scripts and service standards. Managers can drill down from an individual quality metric directly to the conversations and operators behind the result, making it easier to identify problems and provide targeted feedback.
CallChecker also supports omnichannel customer service. Companies can connect website chat widgets, Telegram, Viber, WhatsApp, email, and telephony channels, bringing customer interactions into a unified environment. AI assistants can help classify requests, generate responses, identify complaints, and automate repetitive customer support workflows.
For customer support and contact center teams, CallChecker provides dashboards and reports covering conversation volumes, operator performance, quality scores, AI versus human interactions, topics, channels, and other operational metrics. This enables managers to move from manual quality control to data-driven customer experience management.
The platform is designed to integrate with existing business infrastructure rather than requiring companies to replace their telephony or CRM systems. CallChecker can be adapted to company-specific quality scorecards, scoring formulas, workflows, and reporting requirements.
The goal is simple: help businesses understand every customer conversation, improve service quality, reduce manual quality-control work, and scale customer operations without proportionally increasing headcount. By combining AI transcription, NLP-based conversation analytics, quality assurance, omnichannel support, and AI automation, CallChecker turns customer communication data into measurable operational value.
Who Is the Company Behind CallChecker?