What it does
CallityLabs Network Infrastructure combines AI AS Server and AI MRF Server to deliver SIP-native service control and real-time conversational media intelligence.
Product Detail
CallityLabs AI MRF is an IMS Media Resource Function that handles RTP anchoring, codecs, media mixing, IVR, streaming STT/TTS, and low-latency Voice AI pipelines.
Reliability
99.99%
Latency
Low-jitter
Deployment
Carrier-ready
Overview
CallityLabs Network Infrastructure combines AI AS Server and AI MRF Server to deliver SIP-native service control and real-time conversational media intelligence.
Deployed in IMS/SIP cores, telecom voice platforms, and enterprise call automation environments that require low-latency voice AI runtime.
It matters because separation of signaling control and media AI runtime improves reliability, policy governance, and conversational response performance at large scale.
AI MRF / Media Resource Function
An MRF is the media-processing layer in an IMS or SIP architecture. It terminates and anchors RTP sessions and performs functions such as codec processing, transcoding, media mixing, announcements, tone detection, conferencing, recording, and IVR media execution.
An AI MRF extends the traditional Media Resource Function with streaming speech recognition, text-to-speech, conversational AI connectivity, real-time media events, and low-latency voice pipelines while retaining telecom-grade session and media control.
Architecture
Key Features
Use Cases
FAQ
MRF means Media Resource Function. It provides real-time media processing for IMS and SIP services, including RTP handling, codecs, mixing, conferencing, announcements, recording, and IVR.
An AI MRF combines traditional telecom media processing with streaming STT, TTS, conversational AI, and real-time voice intelligence in the live media path.
The AI MRF processes RTP media while an application or control server coordinates SIP signaling, session policy, routing, and service logic with the IMS or SIP core.
Plan with CallityLabs
Talk with our product specialists to review architecture fit, deployment model, and rollout plan.