Your monitoring doesn't read your code. Causum does.
Causum reads your application source, infers the business entity state machines that actually matter, and runs a compounding loop of signal detection, root-cause analysis, and graduated-autonomy remediation across your existing observability stack. No new agents. No rip-and-replace. Phase 1 ships in days.
Domain → Signal → RCA → Remediation → feedback to Domain. The loop compounds with every incident.
Every AIOps tool waits for you to tell it what matters.
Before any AIOps platform delivers value, your team spends 3–6 months writing threshold rules, mapping services to teams, encoding which alerts mean which root causes. Most organizations never finish. Roughly 60% of AIOps deployments stall in the configuration phase.
The problem is structural: the things you actually need to monitor — “this order has been stuck in ALLOCATED for two hours”, “this checkout invariant is violated”, “this connection pool is misconfigured in the code” — live in your application source code and database schemas. No tool reads them.
Causum starts from your code.
Before we connect a single alert, our Codebase Explorer Agent reads your application repository. Within days — not months — it produces business entity state machines, data invariants, anti-patterns with quantified business impact, and auto-generated sensors for everything it found.
Domain Intelligence produces specs → Signal Intelligence runs them → RCA Intelligence uses them as rules → Remediation Intelligence's audit trail feeds RCA learning → operator feedback recalibrates Signal Intelligence.
Any one layer is a feature. The loop is the product.
Domain Intelligence
Reads your code. Infers state machines, invariants, anti-patterns. Customer-owned artifacts in days.
Learn more →Signal Intelligence
Auto-calibrating sensors. No stale thresholds. Fires on business events, not CPU spikes.
Learn more →RCA Intelligence
Multi-layer causality graph. Root cause in minutes, with evidence you can click into.
Learn more →Remediation Intelligence
Four-level autonomy. Six-part guardrails. Kill switch always visible. Trust by design.
Learn more →The only platform that reads application code.
| If you have… | You also need… |
|---|---|
| Datadog or Dynatrace for observability | A tool that works with them, not instead. Causum reads from your stack and adds the domain layer no observability vendor has. |
| PagerDuty or OpsGenie for paging | A tool that tells you why the page fired and how to fix it. PagerDuty pages; Causum diagnoses. Complementary. |
| incident.io or Rootly for incident response | A tool that gives the incident-response workflow real signal to work with. Slack-native response on top of code-aware signal. |
| Azure SRE Agent for infra ops | A tool that understands your business domain, not just your infrastructure. Complementary; we are the domain layer. |
Built for the SREs who have to trust it.
We've talked to too many SREs who've been promised AI magic and handed black boxes. Causum is the opposite.
- 🎚
Observe by default
New services and new agents start at Observe. Promotion is explicit. Auto-demotion on failure.
- 🛡
Six guardrails on every action
Allowlist, confidence, blast radius, approval gate, pre/post checks, kill switch.
- 🔍
Evidence on every recommendation
Click any RCA result to see the raw metrics, traces, and log lines behind it.
→ Proposed action: restart_pod (payment-gateway-7d4f6)
→ Confidence: 0.91
→ Blast radius: 1 pod, 0 dependent services
→ Guardrails: 6/6 ✓
Delivered as a phased engagement. Value at every gate.
Causum isn't a SaaS license you buy and try to figure out. It's a forward-deployed engagement, structured around phases with go/no-go criteria you control. Every artifact is customer-owned, regardless of continuation.
Domain Intelligence
Reads your code. Infers state machines, invariants, anti-patterns. Customer-owned artifacts in days.
Signal Intelligence
Auto-calibrating sensors. No stale thresholds. Fires on business events, not CPU spikes.
RCA Intelligence
Multi-layer causality graph. Root cause in minutes, with evidence you can click into.
Remediation Intelligence
Four-level autonomy. Six-part guardrails. Kill switch always visible. Trust by design.
What customers measure after the loop closes.
Pilot targets measured against your pre-engagement baseline. Not claims; commitments we hit or we don't advance.
| Metric | Before | Pilot target |
|---|---|---|
| Time to first meaningful sensor | 3–6 months | Days |
| MTTR (P1) | 90 min | < 20 min |
| Tools open during investigation | 4–6 | 1 |
| Anti-patterns found before incidents | 0 | Measured per engagement |
| Postmortem completion rate | ~40% | > 90% |
Ready to see what's in your codebase?
Phase 1 takes 2–4 weeks and ships a complete domain model of your system — yours to keep. Talk to our forward-deployed engineering team about a pilot.