Best AI Voice Agents for Docker

TEN (Transformative Extensions Network) is an open-source framework that enables developers to create real-time multimodal AI agents capable of interacting through voice, video, text, images, and data streams with extremely low latency. The framework encompasses a comprehensive ecosystem, including TEN Turn Detection, TEN Agent, and TMAN Designer, which collectively allow developers to quickly construct agents that exhibit human-like responsiveness and can perceive, articulate, and engage with users. It supports various programming languages such as Python, C++, and Go, providing versatile deployment options across both edge and cloud infrastructures. By leveraging features like graph-based workflow design, a user-friendly drag-and-drop interface via TMAN Designer, and reusable components such as real-time avatars, retrieval-augmented generation (RAG), and image synthesis, TEN facilitates the development of highly adaptable and scalable agents with minimal coding effort. This innovative framework opens up new possibilities for creating advanced AI interactions across diverse applications and industries.

Cal.ai has introduced AI-driven voice agents to the Cal.com scheduling platform, enabling the automation of phone calls, reminders, confirmations, follow-ups, booking calls, and managing no-shows through natural, human-like interactions. Users can establish triggers based on various events within their existing workflows, such as form submissions, meeting cancellations, or no-shows, and can also assign a dedicated phone number for the AI agent to utilize, with the option to import an existing number. Additionally, users have the ability to craft custom prompts that dictate the tone, personality, and script for each voice interaction. The platform provides seamless integration with Cal.com’s calendar syncing capabilities across services like Google and Outlook, as well as features for scheduling links, team coordination, and directing bookers to the appropriate team member based on their availability and the type of event. Furthermore, the calling system is equipped with analytics that track transcripts, completion rates, booking outcomes, sentiment and tone detection, along with other performance metrics, facilitating the continuous refinement of conversations and enhancement of conversion rates. This comprehensive approach not only streamlines scheduling but also ensures that user interactions are both efficient and engaging.

You can use accurate speech recognition at scale and continuously improve model performance by labeling data, training and labeling from one console. We provide state-of the-art speech recognition and understanding at large scale. We do this by offering cutting-edge model training, data-labeling, and flexible deployment options. Our platform recognizes multiple languages and accents. It dynamically adapts to your business' needs with each training session. Enterprise-specific speech transcription software that is fast, accurate, reliable, and scalable. ASR has been reinvented with 100% deep learning, which allows companies to improve their accuracy. Stop waiting for big tech companies to improve their software. Instead, force your developers to manually increase accuracy by using keywords in every API call. You can train your speech model now and reap the benefits in weeks, instead of months or even years.