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We built a co-pilot that classifies CI/CD failures, generates fix candidates, and coordinates remediation across GitLab and GitHub.
A platform team running 1,200+ pipelines a day with median time-to-resolution of 4.2 hours. Every failure required a senior engineer to triage logs, find the cause, and write the fix.
We deployed an LLM-backed classifier behind a feature flag against shadow traffic for the first three weeks. Once accuracy passed 92% we promoted it to suggest-mode, then auto-remediate-mode for a curated set of failure classes.
MTTR dropped from 4.2 hours to 14 minutes a 94% reduction. The platform team reclaimed an estimated 38 hours per week. Audit trail and RBAC shipped on day one.
“CyrumOps replaced three internal scripts and a half-time engineer. The audit trail alone justified it.”
Real-time route optimization across 1,200 vehicles. Replaced an ILP solver and a half-time analyst.
Document understanding pipeline for 14 clinical specialties. From intake form to structured EHR record in 90 seconds.
Replaced a fifteen-year-old back-office tool. New system shipped in eleven weeks with zero downtime cutover.