What Integrates with YandexGPT?

Find out what YandexGPT integrations exist in 2025. Learn what software and services currently integrate with YandexGPT, and sort them by reviews, cost, features, and more. Below is a list of products that YandexGPT currently integrates with:

  • 1
    Yandex SpeechSense Reviews

    Yandex SpeechSense

    Yandex

    $0.00008 per unit
    Introducing an advanced solution for in-depth examination of both voice and text communication channels. Enhance the quality and efficiency of your services while extracting essential insights that truly resonate with your customers. Receive actionable feedback in just minutes, as we annotate the entire conversation with tags to swiftly identify key elements and assess service quality. Significantly reduce the time spent on analyzing messages and call logs, respond to context-sensitive inquiries, and assess your operators' engagement levels along with the order of their actions. Implement a robust speech analysis system that makes use of multiple machine learning services concurrently. Develop a chatbot for support services, and obtain comprehensive reports derived from the gathered data on chat interactions and the conduct of both customers and operators during calls. Additionally, create a dedicated space within your organization, initiate a new project, and establish a connection to streamline operations. Subsequently, integrate your telephony and CRM systems with Yandex SpeechSense to facilitate the seamless loading of all conversations for further analysis, enabling a more proactive approach to customer interactions. By adopting these innovative technologies, you can transform your customer service strategy and enhance overall satisfaction.
  • 2
    Yandex DataSphere Reviews

    Yandex DataSphere

    Yandex.Cloud

    $0.095437 per GB
    Select the necessary configuration and resources for particular code segments in your ongoing project, as it only takes a few seconds to implement changes in a training scenario and secure the results. Opt for the appropriate setup for computational resources to initiate model training in mere seconds, allowing everything to be generated automatically without the hassle of infrastructure management. You can choose between serverless or dedicated operating modes, and efficiently manage project data, saving it to datasets while establishing connections to databases, object storage, or other repositories, all from a single interface. Collaborate with teammates globally to develop a machine learning model, share the project, and allocate budgets for teams throughout your organization. Launch your machine learning initiatives in minutes without requiring developer assistance, and conduct experiments that enable the simultaneous release of various model versions. This streamlined approach fosters innovation and enhances collaboration among team members, ensuring that everyone is on the same page.
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