Predict churn before it shows up in the dashboard.
Models trained on telco signals — usage, billing, network experience and sentiment — score every subscriber daily, rank the drivers behind each risk, and trigger the right prevention playbook automatically.
Most churn is predictable weeks out — the signals are just never connected.
Usage decay, billing friction, network complaints and falling sentiment each sit in a different system. Read alone, none of them look urgent. Scored together, daily, they name the subscribers about to leave — with enough lead time to actually change the outcome.
Resolves it right in the chat.
On WhatsApp, SMS and web chat, it authenticates the subscriber, resolves the request and sends the link — with full context, in seconds.
And picks up the phone.
Natural inbound and outbound calls that identify the account and take the action live — no IVR maze, no hold music.
- InerxiaHi Camila, this is Inerxia. We noticed a few dropped connections on your line this week.
- CallerYeah, it's been unreliable in the evenings.
- InerxiaI've scheduled a CPE swap for tomorrow and added a goodwill credit for the trouble.
- CallerAppreciate that, thank you.
What sets the agent off.
Signals score in real time; the right action fires automatically, within your guardrails.
- lines scored daily
- 128K
- median lead time before port-out
- 19d
- ranking AUC
- 0.91
See it running on your own data.
Book a 30-minute demo and watch Churn prediction resolve real cases live.