

Effortless Communication, Powered by Automatic Speech Recognition
Unlock the power of speech with accurate, real-time recognition

Proof of Concept
Develop the core functionality of an Automatic Speech Recognition (ASR) solution as a proof of concept, converting audio and video inputs into text and integrating with a feedback system for real-time responses.
ASR Framework
Collaborate to build advanced ASR solutions for multiple use cases, including customer service, training enhancement, voice-based ordering, and data-driven insights via intuitive dashboards.
Partnership Model
Establish a transparent and effective partnership model, ensuring clear communication, streamlined collaboration, and fair pricing for all stakeholders involved.
Develop Core functionality ASR POC Solution for Call Centre (Audio / Video to Text to Feedback Engine)
Key Features for Call Centre Audio / Video Analysis:
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Post-call Analysis: Once a call is transcribed, AI can analyze the conversation for key performance metrics.
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Sentiment Analysis: AI can evaluate customer sentiment throughout the call (e.g., happy, frustrated) and pinpoint areas where customer satisfaction drops.
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Agent Performance Evaluation: The system can evaluate how well the agent adhered to scripts, responded to customer queries, and followed best practices.
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Feedback Generation: The system can automatically generate feedback for agents, such as suggestions on tone, pace, or how they handled the call.
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Keyword Extraction: Identify critical topics or issues raised in the call, such as complaints, requests, or frequently mentioned products.
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Actionable Insights: The system can summarize key findings for both the agent and management, providing data-driven insights for training and process improvements.
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Scoring System: Automated performance scoring based on predefined criteria like customer satisfaction, adherence to call flow, and resolution effectiveness.
