2 Integrations with QEval

View a list of QEval integrations and software that integrates with QEval below. Compare the best QEval integrations as well as features, ratings, user reviews, and pricing of software that integrates with QEval. Here are the current QEval integrations in 2024:

  • 1
    Amazon S3
    Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. This means customers of all sizes and industries can use it to store and protect any amount of data for a range of use cases, such as data lakes, websites, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big data analytics. Amazon S3 provides easy-to-use management features so you can organize your data and configure finely-tuned access controls to meet your specific business, organizational, and compliance requirements. Amazon S3 is designed for 99.999999999% (11 9's) of durability, and stores data for millions of applications for companies all around the world. Scale your storage resources up and down to meet fluctuating demands, without upfront investments or resource procurement cycles. Amazon S3 is designed for 99.999999999% (11 9’s) of data durability.
  • 2
    Creovai

    Creovai

    Creovai

    Conversation intelligence and real-time guidance for contact center leaders. Creovai uses AI to analyze all your customer conversations, guide your agents in real time, and deliver insights to improve contact center performance–all within a single platform. Creovai listens to and analyzes every voice and digital interaction based on the criteria you care about, reducing manual QA time and giving your team a complete view of agent performance and customer experience. Answer the biggest “what” and “why” questions about your customer conversations with AI-powered predictive scoring models, pre-built insight categories, and prescriptive dashboards. Make informed CX decisions and provide automatic real-time guidance to agents based on conversation insights and customer intent. Establish a closed feedback loop. Use insights from your customer conversations to optimize call scripts, inform real-time guidance, and drive ongoing operational improvements.
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