To capture emotions accurately, your AI needs voice data streamed instantly to ensure every tone, pause, and inflection is preserved for analysis. Any delay can reduce the quality of your sentiment signals.
Another complexity is integration. The telecom world relies on SIP, RTP, codecs, and signaling, while sentiment analysis platforms typically use WebSocket or REST callbacks. Bridging these environments can turn into long, costly integration work your developers shouldn’t have to deal with.
In short: you need a bridge between telephony and AI systems that delivers live voice streams and call metadata consistently, so your team can focus on extracting sentiment insights, not managing SIP.
You don’t need to build or maintain custom telecom integrations. The AI Connect Service abstracts SIP protocols, call routing, and media handling, so your developers can focus on building better insight models.
The service integrates with AWS and Google Cloud AI ecosystems, supporting tools such as:
These tools enable conversational AI workflows with Natural Language Understanding (NLU) for sentiment detection and emotion-based analytics.
Get the details in the service specifications.
Use a single, consistent interface to connect with a variety of voice systems. No specialized telecom expertise required – integration and application development become faster and simpler.
The AI Connect Service handles SIP protocols, call routing, and media handling, freeing your developers to concentrate on building powerful sentiment analysis solutions.
Handles sensitive voice data securely, adhering to standards like GDPR and HIPAA. Hybrid deployment option ensures full control of data.
Designed for high-demand environments, it scales effortlessly to support high call volumes while maintaining low latency and high availability.
