Check out our latest blog: "eBPF Decoded: Use Cases, Concepts, and Architecture"
Learn More
Check out our latest blog: "eBPF Decoded: Use Cases, Concepts, and Architecture"
Learn MoreRevolutionizing B2B
Customer Success
Traditional observability tools focus on system-wide health but lack customer-specific insights. KubeSense empowers B2B companies to proactively identify and resolve customer-impacting issues before they escalate into churn.
A Revolutionary AI SRE Companion
Account-Level Anomaly Detection
Detects errors, performance issues, and reliability concerns at the account level, highlighting impacted accounts and customers.
Proactive AI-Driven Prioritization
Pinpoints customer-impacting incidents before they escalate and helps support and engineering teams focus on high-value accounts first.
Churn Prevention Insights
Detects patterns that signal customer dissatisfaction and risk of churn.
Account-Level Monitoring for Deeper Insights
Real-Time Anomaly Tracking
Continuously monitors customer interactions, endpoints, and system health to catch issues early.
Impact Analysis
Highlights affected accounts and prioritizes them based on business impact and severity.
Granular Insights
Identifies performance bottlenecks, latency spikes, and reliability issues unique to each customer.
Churn Prediction & Prevention
Behavioral Trend Analysis
Monitors customer behavior to detect early signs of dissatisfaction or disengagement.
Proactive Retention Alerts
Warns teams about customers at risk of churn, enabling timely interventions.
Data-Driven Decision Making
Uses AI insights to recommend personalized engagement strategies that improve customer satisfaction.
Comprehensive Health Insights for Every Account
Real-Time Customer Health Scoring
Assigns a dynamic health score based on uptime, performance, and issue history.
Anomaly-Driven Reporting
Provides AI-generated reports highlighting recurring issues and long-term trends.
Integration with Customer Success Teams
Enables cross-functional collaboration between engineering, sales, and support to improve account retention.
Intelligent Customer-Centric Prioritization
Predicts Escalations
Before They Happen Identifies customer-impacting incidents before they lead to SLA breaches or escalations.
High-Value Account Focus
Helps support and engineering teams prioritize mission-critical customers first.
Automated Severity Scoring
Uses AI-driven impact analysis to assign urgency levels and direct resources accordingly.
