We're on a mission to make operations autonomous.
Engineering teams are burning out. Alerts are noisy. Context is scattered. We're building HealOps to fix that.
HealOps was born from frustration. After years of waking up to 3am pages for non-critical issues and struggling to piece together what happened during outages, we decided there had to be a better way.
We believe that incident management shouldn't be a chaotic fire-drill. It should be a structured, calm, and data-driven process that helps teams learn and improve.
Our approach is simple: Turn observability logs into self-healing actions.
What We Believe
Our product philosophy is built on these core principles that guide every decision we make.
We believe that understanding your system starts with deep log analysis. Our AI doesn't just collect logs—it understands them.
Traditional tools tell you what's wrong. HealOps fixes it. We believe machines should solve machine problems.
Our Large Language Models are trained on millions of incidents. They learn patterns, predict failures, and generate fixes.
Developers should build features, not babysit servers. We give engineering teams their nights and weekends back.
Every remediation action is validated and reversible. We prioritize safety while maintaining speed.
HealOps gets smarter with every incident. Our AI adapts to your infrastructure and learns from your patterns.