This is like putting a smart, always-on analyst in your call center who listens to every customer conversation (calls, chats, emails), figures out what customers are really feeling and saying, and then tells your teams how to fix problems, keep customers from leaving, and sell more — automatically and at scale.
Telecoms handle millions of customer interactions across phone, chat, and digital channels, but most of that data is unused. CX intelligence platforms turn these conversations into structured insights so leaders can see why customers call, what frustrates them, which agents or processes underperform, and where there is churn or upsell opportunity — enabling data-driven decisions instead of gut feel.
Deep domain tuning on telecom contact center data, integrations into existing CCaaS/CRM stacks, and embedded workflows for QA, compliance, and CX ops create switching costs beyond the core analytics models.
Hybrid
Vector Search
High (Custom Models/Infra)
Processing, storing, and searching large volumes of high-fidelity audio-derived text in near real time while controlling cloud inference costs and meeting telecom-grade data privacy/compliance requirements.
Early Majority
Focus on conversation-level analytics across voice and digital channels, tuned for high-volume contact centers, moving beyond survey-based CX to full interaction analytics that can directly feed operational workflows in telecom environments.