Monitor distributed pipelines, detect failures faster, perform AI-powered root cause analysis, and resolve incidents through conversational operational intelligence.
Enterprises run thousands of interconnected pipelines, APIs, and AI workflows. Traditional observability generates alerts — but rarely operational intelligence.
A continuous loop: detect, investigate, resolve, prevent.
A unified intelligence layer across your entire reliability ecosystem.
Ask your platform what went wrong — get answers instantly.
Purpose-built for distributed platform reliability.


A side-by-side look at how ClairAI compares to leading observability platforms on the capabilities that actually drive reliability outcomes.
| Feature | ClairAI | Datadog | Splunk | New Relic |
|---|---|---|---|---|
| Unlimited accounts | ||||
| Unlimited log & metrics ingestion | ||||
| Auto pipeline discovery | ||||
| Native Databricks monitoring | ||||
| AI root cause analysis | Included | $5–15K extra | Add-on | $5K+ extra |
| Unified logs + metrics + traces | Partial | |||
| Flat licensing (no per-host) | ||||
| Cost transparency dashboard | ||||
| On-prem deployment option | ||||
| AWS Managed Prometheus (AMP) | ||||
| AWS Managed Grafana (AMG) | ||||
| Public self-serve pricing |
"ClairAI cut our MTTR from hours to minutes. The conversational RCA is the first AI feature my SREs actually use every day."
"We replaced four monitoring tools and reduced alert volume by 70% in the first quarter. Our on-call engineers can finally sleep."
"Auto pipeline discovery onboarded our entire AWS estate in a single afternoon. The Prometheus cost savings alone paid for the platform."
Whitepapers, thought leadership, and deep-dive blogs from the ClairAI research team.
No per-host. No per-query. No hidden observability costs.
Everything teams ask before adopting ClairAI — answered.