Klarion is an AI‑powered platform that ingests support tickets and CRM conversations to automatically detect recurring product issues, feature gaps, and customer frustration signals. It ranks these insights by severity and frequency, routes them to the appropriate teams, and provides dashboards and collaboration tools to streamline resolution and reduce support load.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations receive large volumes of support tickets and survey responses, making it difficult to manually identify recurring issues, product gaps, and customer frustration signals. This hampers timely resolution, cross‑functional alignment, and can negatively affect retention and brand reputation.
Solution
Klarion offers an AI‑driven platform that ingests support and CRM conversation data to automatically surface product‑related signals and recurring problems. The system ranks these insights by severity and frequency, then routes them to the appropriate teams—such as Support, Product, or Customer Success—facilitating coordinated action. Integrated collaboration tools provide accountability and visibility, enabling teams to address root causes faster, reduce support load, and mitigate churn risk. By turning unstructured feedback into a prioritized action plan, Klarion helps companies improve customer experience, reputation, and revenue without altering existing workflows.
Target Audience
Primary customers are Customer Success, Customer Experience, and Product leaders in mid‑size to enterprise organizations that manage high volumes of support tickets and want data‑driven insight into product performance.
Features
- Native connectors to major support and CRM systems for seamless data ingestion
- AI algorithms that detect recurring issues, feature gaps, and frustration signals in real time
- Prioritization engine that ranks insights by severity, frequency, and potential impact
- Automated routing of insights to relevant teams with built‑in collaboration and accountability features
- Dashboards that visualize support health, issue trends, and estimated cost of unresolved problems
- Metrics reporting showing support load reduction, hours saved, and faster detection of product issues