Griffin Verified Customer Reviews (2026)

Manual call center QA covers 1 to 5% of interactions. The other 95% goes unreviewed. QEval closes that gap with AI-powered quality assurance that scores every voice, chat, and email interaction automatically. The platform combines speech analytics, sentiment analysis, compliance monitoring, keyword detection, automated evaluation workflows, agent coaching tools, gamification, and 110+ analytics dashboards. Compliance includes PCI, HIPAA, and GDPR at 98% accuracy with real-time violation alerts. The scoring engine is trained on 138M+ contact center interactions and delivers 94% classification accuracy. Organizations deploy QEval in 30 days, three to four times faster than typical quality monitoring platforms. Etech Global Services developed QEval through 20+ years of operating contact centers for Fortune 500 clients in healthcare, telecom, retail, banking, and BPO. ISO 27001, SOC 2, PCI-DSS certified. Built for QA managers, CX directors, and operations leaders replacing manual QA. Additional capabilities include call recording and playback, screen capture for desktop activity review, customizable evaluation scorecards, QA calibration sessions to ensure scoring consistency across evaluators, and dispute management workflows for agents to challenge scores. The platform supports omnichannel quality monitoring with unified scoring across phone, chat, email, and social media interactions. Supervisors access real-time dashboards to monitor live calls and intervene when needed. Automated alerts flag compliance risks, negative sentiment spikes, and performance drops instantly. Role-based permissions, audit logging, and end-to-end encryption meet enterprise security requirements. QEval connects with CRM, ACD, workforce management, and telephony systems through API integrations. Multi-site and multilingual support enables centralized QA management across geographically distributed contact center operations.

An API driven by Google's AI capabilities enables precise transformation of spoken language into written text. This technology enhances your content with accurate captions, improves the user experience through voice-activated features, and provides valuable analysis of customer interactions that can lead to better service. Utilizing cutting-edge algorithms from Google's deep learning neural networks, this automatic speech recognition (ASR) system stands out as one of the most sophisticated available. The Speech-to-Text service supports a variety of applications, allowing for the creation, management, and customization of tailored resources. You have the flexibility to implement speech recognition solutions wherever needed, whether in the cloud via the API or on-premises with Speech-to-Text O-Prem. Additionally, it offers the ability to customize the recognition process to accommodate industry-specific jargon or uncommon vocabulary. The system also automates the conversion of spoken figures into addresses, years, and currencies. With an intuitive user interface, experimenting with your speech audio becomes a seamless process, opening up new possibilities for innovation and efficiency. This robust tool invites users to explore its capabilities and integrate them into their projects with ease.

Gemini 3.8 Flash-Lite TTS is Google’s efficiency-focused text-to-speech model for generating expressive audio at high volume. It is positioned for applications where scalability and cost efficiency are important, including dubbing, localization, automated content production, and conversational voice systems. The model gives users detailed control over speech characteristics such as tone, pacing, delivery, and expressive nuance. Creators and developers can direct individual lines using script instructions to produce performances ranging from straightforward narration to more expressive dialogue. Long-form generation is designed to maintain natural pacing, audio quality, and stable speaker characteristics over extended recordings such as podcasts and other continuous content. Gemini 3.8 Flash-Lite TTS also supports native two-speaker scene staging, allowing a single script to generate structured conversations with distinct speakers and natural turn-taking. Nonverbal performance cues including laughs, sighs, gasps, and conversational backchanneling can be incorporated to add realistic texture to generated speech. With support for more than 100 languages, the model can be used to create multilingual audio experiences and localized content for audiences across different regions. Google reports that Gemini 3.8 Flash-Lite TTS performs strongly in human preference evaluations across languages including Japanese, Brazilian Portuguese, Vietnamese, Modern Standard Arabic, Mexican Spanish, and Hindi. Generated audio from Gemini Audio models includes SynthID watermarking, providing an imperceptible signal that can help identify AI-generated speech. Gemini 3.8 Flash-Lite TTS is available through Google AI Studio and the Gemini API, is integrated into Google Vids, and is planned for enterprise API access through Gemini Enterprise.