Frustration, complaints and churn signals hide in calls no one has time to review. Stentor analyses sentiment across 100% of your conversations, so negative experiences surface automatically instead of walking out the door.
A single sampled call tells you almost nothing about how customers actually feel. Stentor analyses sentiment on every conversation and automatically flags negative sentiment and complaints, turning thousands of calls into a clear signal of where customer experience is slipping — and which conversations to act on now.
Detects negative sentiment and complaints automatically across 100% of calls.
Surfaces churn signals early, while there is still time to act on them.
Sentiment is tied to specific conversations, so managers can review the real call behind a trend.
Works on Azerbaijani and mixed Azerbaijani/Russian speech, tuned for local conversations.
Runs in a single-tenant private cloud — customer data never leaves your infrastructure.
Every one. Stentor analyses sentiment across 100% of conversations, so negative experiences are surfaced automatically rather than missed in a manual sample.
Yes. Sentiment is tied to the specific conversation and transcript, so a manager can open the real call behind any trend and act on it.
Yes. Sentiment analysis runs on Stentor’s Azerbaijani speech-to-text, which handles mixed Azerbaijani/Russian conversations.
A purpose-built STT engine that transcribes and diarises every call, including mixed Azerbaijani/Russian speech.
Score quality on 100% of calls with hybrid rule-based and semantic AI scoring — and coach with real evidence.
Detect compliance risk across every conversation and keep the evidence trail regulators expect.
A single-tenant private cloud with no data egress — conversations never leave your infrastructure.
See the complete product: problem, features, how it works and deployment.
Book a walkthrough and we’ll show Stentor analysing real conversations — transcription, quality scoring, sentiment and compliance, end to end.