AI-Powered Incident Intelligence  ·  BETA

AI that investigates,
not just summarizes.

Most tools pass your alert to an LLM and call it an RCA. Causa runs a multi-step agentic investigation — reading pod logs, k8s events, recent deployments, and kernel traces — then delivers a precise, verified root cause. Not noise. Answers.

No credit card required  ·  50 free RCAs/month  ·  2-minute setup

infranexis-causa — RCA Pipeline
07:14:22 [ALERT] payments-service P1 fired
07:14:22 Collecting k8s context...
07:14:23 Running eBPF trace (5s)...
07:14:28 Analysing with AI engine...
 
Root cause identified (6s)
 
Root cause:
Pod payments-7d9f8b-mn4q2 is in
CrashLoopBackOff after deploy
v2.1.3 → v2.1.4 (6 min ago).
DB pool exhausted (pool_size=5).
 
Delivered to #incidents (Slack)
Written back to PagerDuty P1234
 
Agentic
Multi-step investigation loop
12+
Alert sources supported
eBPF
Kernel-level tracing
< 60s
Typical time to RCA

From alert to verified root cause in three steps

One lightweight agent. Zero manual triage. A precise, investigated answer — not a summary — delivered wherever your team works.

1

Connect your signals

Route alerts from any monitoring tool to Causa via a unique webhook URL. One URL, one minute to configure.

PagerDuty Grafana Prometheus Datadog AWS SNS +more
2

Deep, agentic investigation

The AI runs a multi-step investigation loop — querying pod logs, k8s events, recent deployments, system metrics and eBPF traces — iterating until it finds the actual cause, not just the symptom.

Kubernetes eBPF AWS Azure GCP
3

Precise RCA, every time

A verified, actionable root cause analysis — with evidence, not guesses — lands in Slack, Teams, Email, or written back into the original PagerDuty incident automatically.

Slack Teams Email PagerDuty Webhook

Everything your on-call team needs

Built for SRE and DevOps teams who are tired of guessing. Causa investigates deeply, explains clearly, and gets the answer right.

📡

Universal signal ingestion

Receive alerts from PagerDuty, Grafana, Prometheus, Datadog, AWS SNS, Azure, GCP, Zapier or any custom webhook.

🧠

Investigates, doesn't just summarize

The agentic pipeline runs multiple investigation steps — pod logs, k8s events, recent deployments, cloud metrics — correlating evidence before reaching a conclusion.

📊

eBPF kernel tracing

Optional bpftrace scripts capture network connections, slow I/O, and process failures at the kernel level — no instrumentation required.

🕐

Pipelines & routing

Create named pipelines that route specific alert sources through custom context collectors to specific Slack channels or teams.

📤

Multi-channel delivery

Deliver RCA to Slack, Microsoft Teams, Email, outbound webhook, or write it directly back as a note on the PagerDuty incident.

💻

One-line agent install

Deploy to Kubernetes with one kubectl command or to any Linux/VM with a single curl | bash. Works on any cloud or bare metal.

Works with your existing stack

No rip-and-replace. Causa plugs into what you already have in under 5 minutes.

Simple, transparent pricing

Start free. Scale as you grow. No surprise bills.

Monthly
Annual Save 20%
Free
$0/mo
Try Causa on a side project or personal stack.
  • 50 RCAs per month
  • 1 pipeline
  • 1 alert source
  • Slack delivery
  • 1 forwarder agent
  • 7-day history
Get started free
Starter
$23/mo
For individual engineers and small on-call rotations.
billed monthly
  • 150 RCAs per month
  • 3 pipelines
  • 3 alert sources
  • Slack & email delivery
  • 2 forwarder agents
  • 30-day history
  • Alert deduplication
  • SLO error budget context
Get started free
Enterprise
Custom
For large teams with custom SLA, SSO, and compliance requirements.
  • Unlimited RCAs
  • Unlimited pipelines & agents
  • All delivery channels
  • SSO / SAML
  • SLA guarantee
  • Dedicated support
Contact sales

Your next P1 deserves an accurate answer

Deep investigation. Precise root cause. Delivered automatically — wherever your team works.

Get started free →