This is like an AI-powered control tower for your IT systems: it watches all your monitoring tools, connects related alerts into a single story, and tells your teams what’s breaking and where, instead of drowning them in noisy notifications.
Reduces alert noise and manual triage in IT operations by correlating events from many monitoring tools, helping teams detect, prioritize, and resolve incidents faster while minimizing downtime and service impact.
Tight integration into enterprise IT monitoring/observability stacks and workflows, plus accumulated operational data and correlation logic that make the platform sticky once embedded as the central incident management hub.
Hybrid
Vector Search
Medium (Integration logic)
Correlation and enrichment computations over very high-volume event/alert streams, plus LLM-based analysis cost/latency at large scale.
Early Majority
Positioned as a domain-focused AIOps and incident correlation layer that sits on top of existing monitoring and observability tools, rather than replacing them, with AI used to cut noise and accelerate triage across heterogeneous toolchains.
22 use cases in this application