Causely

Causely offers a causal artificial intelligence platform that automates end-to-end detection, prevention, and remediation of critical defects in application environments. The platform's core technology identifies root causes in dynamic systems by capturing causality in software, enabling real-time visualization of causality relationships across IT environments. Unlike traditional solutions that rely on correlation and anomaly detection, Causely's technology establishes direct causal relationships between problems and their symptoms, eliminating the need for human intervention in troubleshooting processes. The platform continuously analyzes observed anomalies to automatically pinpoint root causes, categorize them based on Service Level Objective (SLO) impacts, and trigger immediate remediation actions where applicable.

The company leverages OpenTelemetry for its observability architecture, which provides standardized data collection and unified visibility across microservices. This approach requires significantly less computational resources and smaller datasets compared to traditional AI solutions, as it operates using predefined models of problem behavior and propagation rather than requiring extensive data training. The platform delivers a 360-degree view of service topology and associated cause-and-effect relationships, enabling application development teams and service owners to independently manage their systems. The company offers its initial service specifically for DevOps and Site Reliability Engineering (SRE) users building and supporting applications in Kubernetes environments.