The integration of conversational AI and agentic systems into WebRTC applications has evolved from a novel concept to an essential component in creating truly intelligent communication systems. The convergence of real-time communication, large language models (LLMs), and agentic AI systems has unlocked new opportunities for voice-based interfaces
Real-time video calls have become the backbone of how we work, learn, and connect. And when users connect, they expect seamless, high-quality communication. Yet many factors can affect call quality – from internet connectivity to device settings to network configurations. While these issues often originate outside the
Graphics Processing Units (GPUs) were originally designed to accelerate gaming, enabling complex graphics computations to run in parallel. Unlike Central Processing Units (CPUs), which excel at executing a few instructions at a time with high precision, GPUs are built for massive parallelism—handling thousands of operations simultaneously. This
Codecs are essential to WebRTC, enabling efficient media compression and decompression for transmission. They not only ensure seamless communication but also impact quality, latency, and compatibility across devices. In this post we will talk about the importance of codecs for WebRTC, including essential codecs, codecs that enable
