Causely uses causal AI to read your observability data and surface root cause. Nova AI Ops IS the stack: 100 agents that detect, diagnose, AND autonomously remediate incidents under cryptographic audit.
Causely is a Causal Reasoning Platform that ingests data from Datadog, Prometheus, Grafana, OpenTelemetry, and other observability tools to build a Causal Reasoning Graph and surface root cause through its "Defects, Symptoms, and Behaviors" model. Nova AI Ops is a full AI-native platform: it detects incidents itself, investigates them with 100 agents across 12 SRE teams, and autonomously executes remediations under approval gates and a cryptographic audit trail.
| Capability | Nova AI Ops | Causely |
|---|---|---|
| Infrastructure Monitoring | ✓ Full-stack metrics, logs, traces, RUM, synthetic | ✗ No native monitoring (depends on Datadog/Prometheus/Grafana) |
| Causal Root-Cause Analysis | ✓ Multi-agent investigation with 100 specialists + service-map causality | ✓ Causal Reasoning Graph with Defects/Symptoms/Behaviors model |
| AI Agents | ✓ 100 specialized agents across 12 SRE teams | ✗ Causal-AI engine, not an autonomous agent fleet |
| Auto-Remediation | ✓ 78% incidents auto-resolved in <90s with Approval Manager gates | ✗ Read-only by design, explicitly does NOT remediate |
| Agent Trust & Audit | ✓ Cryptographic Agent Ledger + per-agent trust scores | ✗ No published agent governance model |
| AI Runbooks | ✓ AI-generated runbooks with what-if simulation | ✗ No runbook authoring or execution |
| Incident Management | ✓ Built-in lifecycle, war rooms, post-mortems, on-call | ✗ Diagnosis-only; hands findings to PagerDuty/Opsgenie |
| Log Explorer | ✓ 1B+ events with AI anomaly detection | ✗ Reads logs from upstream tools; no native store |
| Blast-Radius Prediction | ✓ Service-map propagation + business-impact scoring | ✓ Strong: predicts symptom propagation across the graph |
| Predictive Detection | ✓ Catches patterns before incidents fire | ~ Diagnoses ongoing incidents; not proactive forecasting |
| Tool-Agnostic Ingestion | ✓ 500+ integrations, native or via OpenTelemetry | ✓ Strong: observability-tool-agnostic by design |
| Pricing Transparency | ✓ Basic tier, then $29/user/mo for the full platform | ✗ No public pricing (contact sales) + your existing observability bill |
| Setup Time | ✓ Under 3 minutes, one-command install | ~ Graph build time; assumes Datadog/Prometheus already configured |
Causely does not publish public pricing, it is sold as an enterprise contract that sits on top of your existing observability stack (Datadog, Prometheus, Grafana, etc.). Nova replaces that stack with one predictable per-user price.
Full platform: monitoring, incidents, AI agents, runbooks, on-call, logs, tracing, auto-remediation. Basic tier available.
Causal Reasoning Platform only. You still pay for Datadog/Prometheus/Grafana/PagerDuty underneath. Effective stack cost: enterprise contract + $4,000-6,000/mo of upstream tooling.
Causely is a causal-AI diagnosis layer. Your monitoring, on-call, dashboards, and error tracking still need their own vendors underneath. Nova replaces all of them.
Scenario assumes 20 engineers, 50 hosts, full SRE stack around Causely. Causely does not publish public pricing; the $1,500 estimate represents a typical enterprise contract for a causal-AI investigation layer at this team size. Datadog, PagerDuty, Grafana, and Prometheus pricing reflects public list rates as of April 2026. Your actual cost will vary with usage, retention, and negotiated discounts. Causely, Datadog, PagerDuty, Grafana, and Prometheus are trademarks of their respective owners. Nova AI Ops is not affiliated with or endorsed by any of them.
Causely has built a focused diagnosis-first product around a Causal Reasoning Graph and a "Defects, Symptoms, and Behaviors" model. Here is where it genuinely shines:
Causely diagnoses. Nova remediates. The difference shows up in five places:
Try Nova, replace four tools, keep what's working. See Nova close incidents while Causely is still surfacing the root cause.