Fathom
Fathom is the free AI meeting assistant that instantly records, transcribes, and summarizes your Zoom, Meet, or Microsoft Teams meetings so you can focus on the conversations instead of taking notes.
Fathom is an AI-driven meeting assistant that automatically records, transcribes, and summarizes your virtual meetings across platforms like Zoom, Google Meet, and Microsoft Teams. Designed to save time and increase productivity, Fathom generates actionable summaries in under 30 seconds and syncs with your CRM for streamlined follow-ups. The platform's unique features include real-time transcription, meeting highlights, and the ability to share clips, making it ideal for teams looking to improve meeting efficiency and reduce administrative work.
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QEval
Contact center QA teams evaluate 1 to 5% of calls manually. QEval eliminates that bottleneck by applying AI speech analytics and automated scoring to 100% of interactions across voice, chat, and email, using a classification engine trained on 138M+ real conversations.
Capabilities span quality monitoring, compliance detection for PCI, HIPAA, and GDPR at 98% accuracy, sentiment analysis, keyword identification, agent coaching workflows, performance gamification, and predictive analytics across 110+ configurable dashboards. Quality scoring runs at 94% accuracy with zero manual intervention.
Deployment takes 30 days. Industry standard is 90 to 120. No disruption to live operations. Etech Global Services built QEval from two decades of running Fortune 500 contact centers in healthcare, telecom, retail, banking, and BPO. ISO 27001, SOC 2, PCI-DSS certified. Built for QA leaders and operations teams scaling coverage without adding headcount.
QEval also provides call recording management, screen capture, custom evaluation forms, calibration tools for QA consistency, root cause analysis, trend identification, and automated alert systems for compliance breaches. The voice of customer module tracks customer sentiment across touchpoints to identify service gaps and training opportunities. Real-time monitoring lets supervisors intervene during live interactions. Role-based access controls, audit trails, and data encryption ensure enterprise-grade security. QEval supports multi-site and multilingual contact center environments with centralized reporting across locations.
API integrations connect QEval with existing CRM, telephony, and workforce management systems. Automated report scheduling delivers insights to stakeholders without manual effort.
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Jiminny
Jiminny is a leading Conversation Intelligence platform designed to capture and analyze key go-to-market insights across video, voice, and email. Powered by AI, it automates data entry into your CRM, saving your team time and improving productivity. Jiminny enables revenue teams to focus on selling smarter, achieving faster growth, and closing more deals.
With its intuitive interface and actionable insights, Jiminny equips managers to effectively develop their teams and helps executives make confident, data-driven decisions. The platform delivers measurable ROI within six months, offering a seamless onboarding process and a user-friendly experience. Empower your business with Jiminny to transform conversation intelligence into a driver of revenue growth.
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VoiceOps
The VoiceOps Coaching Enablement platform unlocks the potential of call center collections and sales conversations by making coaches more efficient. It is based on the Behavior Change Cycle methodology, which helps coaches measure key behaviors, get right to the most coaching moments in each call, build trust and confidence with reps, and drive better customer interactions.
It's a win/win situation: Call center reps receive more from their coaches, companies get more out of their reps, while customers get more value for every call.
VoiceOps places data quality at the forefront of coaching enablement. The company has invested considerable expertise and resources in creating a technical data operation that provides industry-leading data quality. VoiceOps has hundreds of industry-specific data sets that can be used for model training. This combined with a human in-the-loop quality assurance process creates data quality customers can trust and value at a premium.
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