This mismatch forces developers into complex integration work, handling codecs, session signaling, and real-time delivery, just to feed audio into intent-recognition models. Even small latency can lead to missed intents or false triggers.
In short: you need a reliable bridge between the telephony and AI environments – one that manages voice stream delivery and metadata extraction, so your team can focus on intent detection and actionable insights, not telecom infrastructure.
There’s no need to build or maintain custom telecom integrations. The AI Connect Service abstracts the complexities of SIP protocols, call routing, and media handling – extracting meaningful call data from SIP signaling and live voice streams – so your developers can focus on creating powerful intent recognition solutions.
The service integrates natively with AWS and Google Cloud AI ecosystems, supporting tools such as:
These integrations enable AI workflows with natural language understanding (NLU) for intent detection, slot filling, and multi-turn dialogues.
The service supports both cloud and hybrid deployment to meet strict data-residency or compliance requirements.
Explore the service specifications.
Use a single, consistent interface to connect with a variety of telephony systems. No need for specialized telecom knowledge – integration and application development become faster and simpler.
The AI Connect Service manages SIP protocols, call routing, and media handling, freeing your developers to focus on intent and conversation logic instead of handling telecom infrastructure.
Handles sensitive voice data securely, following regulatory standards like GDPR & HIPAA. Supports hybrid deployments for full data control.
Designed for high-volume environments, the service scales seamlessly to handle peak call loads while maintaining reliability and low latency.
