An AI-powered call-center analytics platform that transcribes, scores quality, and detects complaints and risk across 100% of your conversations — in your own private cloud.
Manual QA can only sample 1–3% of conversations; the rest are invisible.
Complaints, churn signals and compliance breaches slip through unheard.
Spreadsheet scoring is sample-biased, inconsistent and weeks behind.
Global speech tools handle Azerbaijani and mixed AZ/RU conversations poorly.
100% of conversations transcribed, diarised and scored — no sampling.
Surface complaints, negative sentiment and compliance risk automatically.
Configurable scorecards combine rule-based checks with semantic AI.
Pinpoint weak areas per agent and back coaching with real call evidence.
Evidence-based decisions — service quality, complaint trends and risky departments at a glance.
Compare teams and agents, track QA and complaints, and find bottlenecks in one view.
Review only the calls that matter — validate or override AI scores and add coaching notes.
Investigate calls, search risky phrases, export evidence and review full audit logs.
Every conversation analysed automatically — no sampling, no blind spots.
A purpose-built Azerbaijani speech-to-text engine and analytics tuned for local speech.
Single-tenant private cloud — your data never leaves your infrastructure.
Rule-based checks plus semantic AI plus human override — accurate and auditable.
In Homer’s Iliad, Stentor was the herald of the Greek army — a man whose voice, the poet wrote, was as loud as fifty other men combined, so nothing said on the field escaped him. His name gave English the word "stentorian". We borrowed it for a platform built on the same promise: every voice in your call center heard, every conversation counted, nothing lost in the noise.
Stentor runs as a single-tenant private cloud — no data egress, no shared tenancy. Purpose-built for banks, government hotlines, insurance, telecom and healthcare where conversations can never leave the building.
Book a walkthrough and we'll show Stentor analysing real conversations — quality scoring, complaint detection and the management cockpit, end to end.