Stentor’s purpose-built Azerbaijani speech-to-text engine transcribes and diarises every call — including the mixed Azerbaijani/Russian speech real customers actually use — inside your own private cloud.
Global speech engines treat Azerbaijani as an afterthought and stumble on the code-switching between Azerbaijani and Russian that is normal in local call centers. Stentor uses a speech-to-text engine built for exactly this: it transcribes and separates each speaker on every conversation, turning raw audio into searchable, analysable text — with no calls left out.
Purpose-built Azerbaijani speech-to-text, tuned for local speech rather than adapted from English.
Handles mixed Azerbaijani/Russian conversations, including natural code-switching within a single call.
Transcribes and diarises 100% of calls — every conversation, no sampling.
Speaker-labelled transcripts become the foundation for QA scoring, sentiment and compliance checks.
Runs in a single-tenant private cloud, so recordings and transcripts never leave your infrastructure.
Yes. The engine is built for the mixed Azerbaijani/Russian speech common in local call centers and handles code-switching within a single conversation.
All of them. Stentor transcribes and diarises 100% of conversations — there is no sampling, so no call is left out of the analysis.
Everything runs in your own single-tenant private cloud. Recordings and transcripts stay inside your infrastructure with no data egress.
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.
Detect negative sentiment and complaints across every call to catch churn signals early.
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.