Detection
Your production never sleeps. Neither does Aient.
Most bugs don't announce themselves. They accumulate quietly — duplicate exceptions buried in a log stream, a regression that crept back after a fix, an error spike that peaked at 3am and trailed off by standup. By the time someone notices, the damage is done.
Aient monitors your application's runtime telemetry continuously. Every crash, exception, and anomaly is scanned, fingerprinted, and scored — automatically, around the clock.
How it works
Continuous scanning
Aient processes your OpenTelemetry data on an automated schedule, 24/7. No cron jobs to configure, no dashboards to check.
Deduplication
Errors are fingerprinted by type, stacktrace, message, and service. One logical bug fires once, not a thousand times.
Smart grouping
Related exceptions are clustered into a single actionable problem. You see what broke, not a wall of individual events.
Impact scoring
Every problem gets a score from 0–100, weighted by occurrence frequency, affected users, and regression risk. You always know what to fix first.
Regression detection
If a resolved problem returns, Aient flags it immediately. Fixed doesn't mean gone forever.
Why it matters
For engineering teams, the gap between an error occurring and someone knowing about it is where reliability erodes. Aient closes that gap — coverage is constant, not dependent on who happens to be awake or which dashboard someone remembered to check.
For solo founders and small teams, it means you stop learning about production bugs from user complaints. Aient watches while you sleep.
Early access
Ready to close the loop?
We're running a private alpha with a small group of engineering teams. If you want AI-driven remediation for your production issues, we'd love to have you.
Get early accessNo commitment required. We'll reach out within 48 hours.