An alternative to manual call monitoring
An alternative to manual call monitoring: a local, on-prem alternative for Azerbaijani business — see how Stentor compares.
Eliminate Blind Spots in Your Call Monitoring
Traditional call monitoring relies on supervisors manually sampling a small fraction of conversations, which inherently leaves the vast majority of customer interactions unreviewed. This fragmented approach creates significant blind spots, allowing compliance risks to go undetected and critical customer complaints to slip through the cracks. Stentor by Allmaz transforms this process by replacing random sampling with comprehensive, automated intelligence, ensuring that every single interaction is accounted for and analyzed. Purpose-built for the unique linguistic landscape of Azerbaijan, Stentor is an on-premises speech analytics platform that prioritizes both accuracy and security. By combining a specialized Azerbaijani speech-to-text engine with a single-tenant private cloud architecture, it provides businesses with full operational visibility and complete data sovereignty. Your organization can now achieve 100% call coverage and rigorous quality assurance without ever sending a single recording or transcript outside your own secure infrastructure.
The Advantages of Automated Speech Analytics
Achieve 100% call coverage by automatically analyzing every conversation instead of relying on limited manual samples
Proactively identify complaints, negative sentiment, and compliance risks the moment they occur to prevent escalation
Ensure high transcription accuracy with a speech engine purpose-built for Azerbaijani and mixed AZ/RU code-switching
Maintain absolute data sovereignty via single-tenant private cloud deployment with zero data egress
Optimize QA workflows using a hybrid scoring model that blends rule-based checks, semantic AI, and human override
Increase supervisor productivity by automating repetitive listening, allowing them to focus on agent coaching and high-priority escalations
Enterprise Call Analytics Capabilities
Full-coverage call analysis
Every conversation is transcribed, diarised and scored automatically — no sampling, no blind spots. You get a complete picture of agent performance and customer experience across all interactions.
Azerbaijani-first speech recognition
Stentor's speech-to-text engine is purpose-built for Azerbaijani and handles the mixed AZ/RU code-switching common in local contact centres, delivering accurate transcripts without manual correction.
Automated complaint and risk detection
The platform flags calls containing complaints, negative sentiment or compliance risk in real time, so quality teams can prioritise reviews and respond before issues escalate.
Hybrid QA scoring
Scoring combines rule-based criteria, semantic AI evaluation and human override in a single workflow — giving you the consistency of automation with the judgement of your own QA team.
On-premises data sovereignty
Stentor runs in a single-tenant private cloud with no data egress. Recordings, transcripts and scores never leave your environment, meeting strict data residency and regulatory requirements.
From Raw Audio to Actionable Intelligence
Frequently Asked Questions
How does Stentor differ from traditional manual call sampling?
Unlike manual monitoring where supervisors review a small percentage of calls, Stentor analyzes 100% of your call volume. Every conversation is transcribed, diarised, and scored automatically, ensuring no interaction is left unreviewed.
Can the system handle conversations that switch between Azerbaijani and Russian?
Yes. Stentor features a speech-to-text engine purpose-built for the Azerbaijani market, specifically designed to accurately handle the mixed AZ/RU code-switching common in local contact centres.
How is data security and residency handled in Stentor?
Stentor is deployed as a single-tenant private cloud with no data egress. This means all recordings, transcripts, and scores remain strictly within your own infrastructure, ensuring full data sovereignty.
Is the QA scoring fully automated, or can managers intervene?
Stentor utilizes a hybrid scoring model. While rule-based and semantic AI provide automated initial scores, supervisors maintain full control and can apply human override scores to ensure qualitative accuracy.
What specific risks or issues can the platform detect automatically?
The platform is engineered to automatically detect and flag complaints, negative customer sentiment, and compliance risks, allowing your QA team to prioritize the most critical calls for immediate review.
Ready to move beyond manual sampling?
See how Stentor can give your team full visibility across every customer conversation — with local language accuracy and complete data sovereignty. Get in touch with Allmaz to arrange a demonstration.
Request a demo