Why We're Building Confiserve
A note from the founder — on change windows, lost sleep, and what AI finally makes possible.
“At every startup where I helped take an early product out of the lab and into customer environments, I tracked every single change window. During each one, tens — sometimes hundreds — of people would get on a call to make sure every application kept working after the change. No one slept well. Stress was the default mode.”
Change windows ran on adrenaline and headcount
Every release was a high-wire act. Hundreds of people watching dashboards, waiting to find out what broke. Recovery meant late nights, paged engineers, and a slow manual scramble to correlate signals across services that no one fully understood end to end.
AI now reasons across code, configs, logs, and metrics
What was once impossible is now within reach. Modern AI performs contextual analysis across code, configurations, runtime logs, and metrics together — making it possible to understand a priori exactly how every digital experience an enterprise delivers actually works.
Agents that monitor, hypothesize, validate, and report
We're building agents that monitor every element required for end-to-end delivery of a digital experience, hypothesize why a problem is occurring, validate the hypothesis against runtime data in a contextually relevant way, suggest solutions, and report on whether the solution actually worked.