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// AI INCIDENT RESPONSE

FIND THE FAULT.
BEFORE IT FINDS YOU.

FAULTLINE is the AI on-call engineer that correlates logs, metrics, and traces the instant something breaks — and hands your team a root cause, not a wall of dashboards.

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Services monitored
40,000+
Avg. time to root cause
6.2s
FAULTLINE's own uptime
99.99%

Live product demo: FAULTLINE detects a latency anomaly in checkout-api, correlates 212 signals across 14 services, and identifies the root cause as connection pool exhaustion following a recent deploy — all within 5.2 seconds, with a postmortem drafted automatically.

// 01 — THE PROBLEM

On-call shouldn't mean archaeology.

Modern systems fail in combinations no single dashboard was built to show. Your team ends up digging through five tools to answer one question: what actually broke?

WITHOUT FAULTLINE

  • Alerts fire in six different tools, and none of them agree
  • Root cause gets guessed, not proven
  • The same incident happens again in three weeks
  • Postmortems get written late, if at all
  • On-call means grepping logs at 3 a.m.

WITH FAULTLINE

  • One correlated signal, ranked by actual blast radius
  • Root cause backed by a confidence score
  • The pattern gets memorized and flagged before it repeats
  • A postmortem drafted before the incident channel closes
  • On-call means reading one sentence, not five dashboards

// 02 — CAPABILITIES

Everything your on-call rotation wishes it had.

Anomaly Detection

Learns your system's real baseline, not a static threshold — and flags the 0.1% of signal that actually matters.

Root Cause Graph

Traces the failure across services, deploys, and dependencies to the single node where it actually started.

Auto-Triage

Ranks incidents by blast radius, not alert volume, so your team fixes what matters first.

Instant Postmortems

Drafts a full incident report with timeline and root cause while your team is still in the war room.

Native Integrations

Ships with the stack you already run: Kubernetes, Datadog, PagerDuty, Slack, GitHub, and more.

Continuous Learning

Every resolved incident sharpens the model, so the same failure gets caught faster next time.

// 03 — HOW IT WORKS

From signal to root cause in four steps.

  1. Connect

    Point FAULTLINE at your logs, metrics, and traces. Five minutes, zero agents to babysit.

  2. Observe

    It builds a live map of your infrastructure and learns what "normal" actually looks like.

  3. Diagnose

    When something breaks, it correlates signals across every service to isolate the real root cause.

  4. Resolve

    Get a plain-English diagnosis, a suggested fix, and a drafted postmortem — before your team finishes joining the call.

// 04 — INTEGRATIONS

Fits into the stack you already run.

No migration, no new agents to maintain, no rip-and-replace. FAULTLINE reads what your stack already produces.

  • AWS
  • GCP
  • Azure
  • Kubernetes
  • Docker
  • Terraform
  • Prometheus
  • Grafana
  • Datadog
  • PagerDuty
  • Opsgenie
  • Slack
  • GitHub
  • GitLab

// 05 — PRICING

Pricing that scales with your infrastructure, not your headcount.

Starter

$0/mo

For small teams and side projects that still hate being paged blind.

  • Up to 3 services monitored
  • 7-day incident history
  • Community support
  • Email alerts
Start Free

// RECOMMENDED

Team

$249/mo

For engineering teams running real production traffic and real on-call rotations.

  • Up to 50 services monitored
  • Full root cause graph
  • Slack, PagerDuty & Opsgenie
  • 90-day incident history
  • Priority support, 4h response
Start Free Trial

Enterprise

Custom

For infrastructure at a scale where one undiagnosed incident becomes a headline.

  • Unlimited services
  • SSO / SAML & audit logs
  • Dedicated Slack channel
  • On-prem / VPC deployment
  • Custom uptime SLA
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// 06 — ACCESS

Stop debugging blind.

Connect your first service in five minutes. No credit card, no agent to maintain.

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