Aggregate voice, sentiment, and feedback into actionable intelligence
Voice of Customer (VoC) programs break when manual analysis cannot keep pace with the volume of unstructured data. Intelligent automation is required to turn qualitative noise into quantitative operational metrics.
Insights are trapped in disparate systems like Zendesk, Salesforce, email, and social media. The lack of a unified view prevents accurate sentiment tracking.
Relying on agents to manually categorize tickets leads to inconsistent data. Emerging issues are often mislabeled or missed entirely.
Critical complaints are buried in long call transcripts or survey comments. Without automated detection, at-risk customers churn before intervention is possible.
Engineering and product teams receive feedback weeks after an issue arises. This latency slows down fixes and erodes customer trust.
Transforming unstructured feedback into a real-time strategic radar for the enterprise.
Deploy intelligent agents to autonomously ingest and analyze customer interactions from audio calls, chat logs, emails, and survey responses. The system utilizes Natural Language Understanding (NLU) to transcribe, translate, and classify feedback into specific topics and sub-topics, capturing the nuance of customer intent beyond simple keyword matching.
Ensure data privacy through automated validation that detects and redacts Personally Identifiable Information (PII) before analysis. The platform handles exceptions by filtering out non-actionable noise (e.g., "thank you" emails) to focus on substantive feedback. Beyond sentiment, the solution delivers intelligence by correlating feedback trends with operational metrics, identifying exactly why NPS scores are fluctuating and predicting potential churn events.
Instantly convert thousands of hours of calls and text into structured data. Achieve the listening capacity required to prioritize roadmaps and resolve systemic issues faster.
reduction in customer churn
faster feedback-to-insight cycle
coverage of customer interactions
increase in agent productivity
Watch how disparate feedback becomes structured insight and prioritized themes.
Automatically identify spikes in specific complaint topics (e.g., "login failure") to alert technical teams immediately.
Quantify the impact of feature requests based on volume and sentiment to drive data-backed engineering decisions.
Analyze feedback related to third-party services or delivery partners to enforce SLAs and quality standards.
Push relevant customer feedback directly to specific department heads (Sales, Product, Support) without manual reporting.




Find clarity on our solutions, capabilities, and how we can support your business.
Our solution offers APIs and connectors for seamless integration with your existing customer service software, including CRM systems and ticketing platforms.
Yes, our advanced AI algorithms are capable of sentiment analysis, allowing the system to understand customer emotions and respond accordingly for a more empathetic customer interaction.
We adhere to stringent data security protocols to ensure the integrity and confidentiality of all customer data. The platform is fully GDPR compliant.
The system provides in-depth analytics on customer interactions, ticket resolutions, agent performance, and more. These insights enable proactive and data-driven customer service strategies.
Absolutely, the Gen AI Customer Service Copilot is built to scale with your business needs. Whether you're a startup or a large enterprise, our solution can adapt to your evolving customer service demands.
We offer comprehensive training modules to get your team up to speed, along with ongoing technical support to ensure you're getting the most out of our solution.
Our solution is designed to assist, not replace, customer service agents. It automates routine tasks and provides real-time insights, enabling agents to focus on more complex issues and offer a personalized customer experience.
Yes, our solution has multilingual capabilities to cater to a global customer base.
While ROI can vary, customers typically report a significant increase in customer satisfaction, a reduction in response and resolution times, and operational cost savings.
Book a 30-minute consultation to find the best starting point