AI-powered observability

Find what broke first, before the cascade spreads

PulseIQ.AI monitors your system logs and uses AI to trace errors back to their root cause — revealing which service failed first and how the failure propagated across your stack.

incident-trace · live
P0 · cascade detected

Root cause identified

auth-service connection pool exhausted at 14:32:07 UTC. Cascade triggered failures in 4 downstream services within 12s.

API Gateway
healthy
Auth Service
origin
User DB
failed
Order Service
failed
Payment API
failed
Notification
degraded
auth-serviceuser-dborder-servicepayment-apinotification

12s

Avg. time to root cause

94%

Cascade accuracy

10M+

Logs analyzed per minute

Observability that thinks ahead

Stop drowning in logs. PulseIQ.AI connects the dots across your entire infrastructure so you can fix the real problem, fast.

Unified log ingestion

Stream logs from every service, container, and cloud provider into one searchable timeline.

AI root-cause analysis

Our models correlate errors across services and surface the true origin — not just the loudest symptom.

Cascade failure mapping

Visualize how one failure ripples through your stack — see what broke first and what fell after.

Instant incident context

Get AI-generated summaries with affected services, error chains, and suggested fixes in seconds.

From noise to root cause in three steps

Set up in minutes. Let AI do the heavy lifting when things go wrong.

01

Connect your systems

Deploy a lightweight agent or forward logs via OpenTelemetry, Fluentd, or our API.

02

AI analyzes patterns

Models scan millions of log lines, detect anomalies, and build dependency graphs in real time.

03

Pinpoint the root cause

See exactly which service failed first, why it failed, and which downstream systems were impacted.

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