The Challenge
Without a single source of truth teams chase failures across tools and miss trend shifts. Success rate and build duration data is fragmented and hard to compare.
GreyMonk provides a real time AI summary of CI CD pipeline health across teams. It tracks success rate, build duration, queue time, and run volume. The model highlights hotspots and positive trends so engineering managers act fast. Leaders get one trusted view of delivery reliability.
Without a single source of truth teams chase failures across tools and miss trend shifts. Success rate and build duration data is fragmented and hard to compare.
GreyMonk ingests CI metadata and applies AI to cluster signals and summarize health. It surfaces hotspots, trends, and recommended actions that improve reliability.
GreyMonk AI
Transforming gut-feel into data-driven decisions for engineering teams worldwide.
Reduce time to detect pipeline issues
Lower mean time to recovery for failed runs
Shorten build duration with targeted fixes
Standardize delivery reporting
Improve the change success rate.
Increase confidence in release planning.
Partner with us to design, prototype, and deploy.