Real-time sentiment monitoring for customer interactions.
Sentimetrics
Monitor Emotions, Elevate Customer Service



Overview
In today service industry, every conversation matters. Customers do not just want answers; they want to feel understood, valued, and respected. Sentimetrics helps you achieve that by using AI-driven sentiment monitoring to analyze customer interactions in real time, giving service representatives the tools to respond with empathy and precision.
Challenges
- Customer service teams struggle to keep pace with fast-changing emotions during conversations.
- Subtle signals of frustration, confusion, or satisfaction are often overlooked.
- Lack of real-time visibility makes it difficult for managers to assess interaction quality.
- Inconsistent emotional awareness can lead to reduced customer trust and loyalty.
Solution
By combining AI-driven speech analysis and computer vision, Sentimetrics monitors conversations across multiple languages whether at a hospital desk, sales counter, immigration checkpoint, or even a podcast giving you actionable insights into how interactions truly unfold.
Key Features
How it works?
Benefits for businesses?
- Boost customer satisfaction by responding to emotions, not just questions.
- Reduce churn by proactively addressing negative sentiment before it escalates.
- Improve training through sentiment data that helps coach representatives more effectively.
- Enhance efficiency by shortening call handling times with real-time emotional insights.
- Strengthen quality assurance with data-driven monitoring that moves beyond random sampling.
Where can Sentimetrics be used?
- Call centers and customer support teams can gain real-time feedback on customer mood.
- Financial services and banking institutions can monitor sensitive conversations for signs of stress or confusion.
- Healthcare helplines can identify anxiety or urgency to prioritize cases more effectively.
- Retail and e-commerce businesses can ensure customers feel heard during returns, complaints, and inquiries.


