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AI powered debugging notebooks for incident response
Relvy provides AI-powered debugging notebooks that help software engineers investigate and resolve incidents faster. It finds the root cause in over 70% of alerts automatically, and when it doesn’t, engineers can easily guide or correct the investigation - saving valuable time across the team.
Relvy AI provides AI-powered on-call runbook execution to automate incident response and reduce mean time to resolve (MTTR). It focuses on automating runbooks to streamline incident handling.
Relvy automates execution of runbooks during incidents using AI-powered guidance to carry out on-call tasks, enabling faster and more consistent incident response workflow execution.
Who it’s for: IT operations teams, SREs, and incident response leaders who manage on-call rotations and require automated runbook execution to reduce MTTR.
Co-founder, CEO at Relvy AI. I enjoy building delightful AI powered software. Previously worked on efficient computer vision/language models for Google Pixel, YouTube and Uber.
AmazonCo-founder and CTO at Relvy. Previously I worked at Microsoft and Amazon on researching and developing SOTA Computer Vision models. I also Co-Founded Vetan, a payroll app that was used by over 30k SMBs. Prior to that I developed distributed systems at Nutanix.
Relvy looks at application logs and metrics to detect and debug issues, so engineers don’t have to.
Relvy AI monitors logs and observability data to detect and debug issues, providing actionable root cause analysis with minimal setup. It connects to existing tools, continuously analyzes logs and metrics, and can debug alerts or on-call incidents, offering context and code-change insights to engineers.
