Hireology builds safe, scalable AI features.
In less than 13 seconds, I can test 3 verticals, 10 tests each with LaunchDarkly. In the time it takes to generate one job description, I’ve tested all iterations programmatically.
Development teams
Ship faster. Stay in control. Fix problems automatically.
Release confidently, understand what changed instantly, and automatically fix or improve behavior while in production—without redeploying or 2 a.m. fire drills.
Ship
Ship changes fast—without risking production.
Release changes behind guardrails, detect issues early, and automatically stop unsafe behavior before it impacts users.
Deploy when you want, release when you’re ready.
Push code continuously and control when users see it, so you can ship without waiting.
Catch issues before customers feel them.
Detect regressions at the first sign of degradation using real production signals.
Automatically stop unsafe changes.
Trigger rollback or disable behavior instantly when thresholds are crossed—no redeploy or manual intervention required.
See what changed, when, and how it impacted users.
Track behavior at the change level using logs, traces, and real-time context.
Identify the root cause instantly.
Understand what broke and why using change-level correlation and real production data.
Move from alerts to action faster.
Skip manual investigation and go straight from detection to resolution with change-level insight.
Debug
Understand what changed—and why.
See how behavior shifts in production, identify issues instantly, and pinpoint root cause without digging.
Fix
Fix issues automatically—without redeploying.
When something breaks, roll back changes, adjust behavior, or reroute traffic instantly without manual intervention.
Fix issues automatically, while in production.
Roll back changes, disable features, or reroute code or agent behavior instantly when problems occur.
Stop problems before they escalate.
Detect and remediate issues as soon as they appear, before they impact users broadly.
Restore stability without shipping new code.
Revert to a previous known-good state instantly—no redeploy required.
Learn
Learn what works
and improve automatically.
Use real production data to test changes, promote what works, and apply fixes faster—without slowing down delivery.
Test changes with real users.
Run experiments in production and measure real-world impact instead of assumptions.
Automatically promote what works.
Shift traffic to the best-performing variation based on real data.
Apply fixes faster with production context.
Use change-level insight to understand issues and generate or suggest fixes you can act on immediately.
Resources to get started.
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