If your voice AI system can touch real systems or trigger actions with business consequences, your approach to AI agent tool calling security matters. When voice AI agents can modify customer data, trigger escalations, update ticketing systems, or execute workflows—especially for customer service in regulated industries like
Expert WebRTC testing is what separates functional real-time applications from reliable ones. A platform that works for two developers on the same high-speed office network can quickly fall apart when hundreds of users try to join simultaneously from coffee shops, firewalled corporate networks, and crowded classrooms. While
Reducing WebRTC infrastructure costs is critical as your application scales. While WebRTC technology is open-source and free to use, the infrastructure required to run it in production is often a major operational expense. (How Much Does It Really Cost to Build and Run a WebRTC Application?) Success
As telehealth applications become more sophisticated, incorporating AI-based features and rich data pipelines for better, accurate diagnostics, the challenge of delivering a flawless, high-quality call experience at scale becomes exponentially more complex. Our team at WebRTC.ventures has been building telehealth video applications since the days when we
