Blog
Insights on Voice AI, audio intelligence, and the future of customer communication.
SipPulse AI telemetry: every parameter explained
SipPulse AI delivers per-call telemetry via signed webhooks. Here is what every event type and metric means, with the open example viewer at /telemetry.
Voice agents with RAG and function calling
A voice agent that only chats is a toy. Function calling and RAG turn it into a product. Here is how the pieces fit and where the latency hides.
How Voice AI is Revolutionizing Customer Service
Discover how Voice AI agents are transforming contact centers with real-time conversation, reduced wait times, and 24/7 availability.
Voice AI compliance: LGPD, GDPR and PCI for call data
Voice data is biometric data under GDPR and LGPD. PCI-DSS adds payment rules. Here is what voice AI deployments must handle to stay compliant in 2026.
Evaluating voice AI agents in production: WER, MOS, latency
Voice agent evaluation is more than picking a model. WER under 5%, MOS 4.3 or higher, latency under 800ms, FCR above 85%. Here are the metrics that matter.
Connecting voice agents to telephony with SIP trunks
A voice agent without a phone number is a chatbot. The SIP trunk is what turns it into a phone product. Here is how BYON deployment works with SipPulse AI.
Audio intelligence for automated contact center QA
Sample-based QA covers 1-5% of calls. Audio intelligence moves contact centers to 100% automated evaluation. Here is how the shift works and what to measure.
Turn detection, barge-in and interruption handling in voice agents
Turn detection and barge-in separate conversational voice agents from answering machines. Here is why raw VAD fails and what production-grade turn-taking looks like.
Voice AI vs IVR: ROI breakdown for contact centers
Voice AI replaces legacy IVR with measurable ROI: payback in 6-12 months, $0.40 per call vs $7-12, 95% first-call resolution. Here is the math.