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NanoVox

Analyze customer conversations across sales, support, and service workflows using offline transcription, sentiment intelligence, and conversation analytics.

NanoVox
THE BUSINESS CHALLENGE

NanoVox (Speech Intelligence)

  • Speech Intelligence Accelerator for Customer Conversations
  • NanoVox is an AI-powered speech intelligence accelerator designed to help enterprises rapidly analyze, understand, and operationalize customer conversations across sales, support, and service workflows.
  • Built with offline Whisper ASR, sentiment analysis, and conversational intelligence capabilities, NanoVox transforms raw voice interactions into structured, actionable insights that improve customer experience, agent performance, and operational visibility.
  • Instead of manually reviewing calls, organizations can leverage NanoVox to automate conversation analysis, measure engagement quality, identify customer sentiment trends, and accelerate quality assurance processes at scale.

Core Capabilities

01Offline speech-to-text transcription
02AI-powered sentiment analysis
03Empathy and engagement scoring
04Talk-to-listen ratio analysis
05Multi-call trend identification
06Privacy-first local processing

What it accelerates

Empowering enterprises to analyze, understand, and operationalize voice interactions at scale. From automated quality assurance and sentiment analysis to agent performance monitoring and conversation analytics, it turns raw voice into structured customer intelligence.

Sales and support conversation analysis
Automated quality assurance workflows
Sentiment and empathy detection
Agent performance monitoring
Customer experience intelligence
Conversational analytics and insights

Business Value

NanoVox helps organizations reduce manual call auditing effort, improve coaching effectiveness, and gain deeper visibility into customer interactions.

By converting voice conversations into operational intelligence, it enables faster decision-making, improved service quality, and more consistent customer engagement across enterprise communication channels.

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