ALL SYSTEMS NOMINAL
NIGHTOPS
AI SRE Agent, Always On Call

Your AI is on call.
You're not.

NightOps is an autonomous SRE agent that monitors your infrastructure 24/7, auto-remediates incidents, and eliminates 3am pages. Built by someone who answered them for 15 years.

03:12ALERT CPU spike on prod-api-3 (94%)
03:12INVESTIGATING Correlating with deploy #847
03:13ROOT CAUSE Memory leak in auth-service v2.4.1
03:13REMEDIATING Rolling back to v2.4.0
03:14RESOLVED All metrics nominal. You slept through it.
How It Works

Detect. Diagnose.
Remediate. Sleep.

NightOps runs a continuous loop across your entire stack. No playbooks to write. No thresholds to tune. It learns your systems and acts when things break.

Anomaly Detection

Monitors metrics, logs, and traces across your infrastructure. Catches the signals humans miss at 3am, not by threshold, but by understanding what "normal" looks like for your specific systems.

Root Cause Analysis

Correlates alerts with recent deploys, config changes, and dependency maps. In seconds, not the 45 minutes your on-call engineer spends grep-ing through logs.

Autonomous Remediation

Rolls back bad deploys, restarts failing services, scales infrastructure, clears stuck queues. The same fixes your team runs manually, executed in under 2 minutes.

Learn and Improve

Every incident makes the agent smarter. Your on-call runbooks become living, self-updating automation. Tribal knowledge stops living in someone's head.

The Shift

From firefighting to
fire prevention

Without NightOps

  • 3am pages destroy your engineers' sleep
  • 45-minute MTTR on routine incidents
  • Tribal knowledge locked in one person's head
  • $41/user/month for legacy alerting that still pages you
  • Alert fatigue means real issues get missed

With NightOps

  • AI handles routine incidents while you sleep
  • Sub-2-minute autonomous remediation
  • Runbooks are living automation, not docs
  • Flat pricing that doesn't scale with headcount
  • Only real unknowns escalate to humans
Why Now

The market is ready.
The tech finally works.

AI SRE went from research papers to production in 18 months. Resolve.ai hit $1B. Datadog shipped an AI agent. The category is real, but nobody owns the mid-market yet.

$1B+
AI SRE market validated by Resolve.ai's Series A
80%
Of incidents are routine and automatable
$24K+
Annual cost of legacy alerting for a 50-person team
0
Products built for SMB teams by someone who lived on-call

The best SRE is the one
that never sleeps

NightOps exists because no engineer should have to choose between reliability and rest. The AI is finally good enough. The infrastructure is finally ready. And the person building this has 15 years of on-call scars to prove the problem is real.