we’ve now handled over 1,000,000 production error events
that’s 1,000,000 exceptions, failed jobs, alerts, and anomalies that a human didn’t have to spin their wheels debugging
we wouldn’t be where we are today without our early customers
thank you for trusting us, partnering with us, sharing your feedback, and pushing us to be better every day
here’s to 1,000,000,000!
Introducing Corelayer CLI
A simple interface that gives your agents rich production context
Built for bulk fixing issues, triggering investigations, and everything in between
Reach out and I’ll personally onboard you in 15 min
self-maintaining software is a utopian outcome for engineers
only work on the most interesting, challenging, important problems
let agents handle everything else
this is why @CorelayerAI exists
if you want a SOTA plug-and-play version of what Ramp’s building, reach out
.@CorelayerAI is the AI on-call engineer for data pipelines.
Their platform monitors both data and infrastructure for issues and uses AI agents to debug and suggest fixes in minutes.
Congrats on the launch, @MRadhuber + @shiprajhahirani!
https://t.co/ZzJbixLVeI
Three months ago, I quit my job and moved to SF to build @CorelayerAI
Yesterday, we started the @ycombinator W26 batch!
These past few months have been… insane (story for another post), and the next three will be no different
We’re here to solve a problem that every software engineer is familiar with: production support.
We’re starting with on-call support, specifically for data-heavy industries like financial services and fintech, healthcare, and insurance.
Corelayer monitors both data and infrastructure for anomalies and uses AI agents to debug and suggest fixes for issues.
We want talented human engineers to spend more time creating cool, useful things for the world and less on support and maintenance.
76 days til demo day.
Let’s go!