End-to-end incident response platform with ML-based Intelligent Alert Grouping that reduces noise by grouping related alerts, AI-generated incident summaries, Auto Pause Transient Alerts for suppressing ephemeral flapping, and Past Incident Insights for historical pattern matching. SLO dashboards connect incident response to reliability engineering.
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| Tier | Price | Includes |
|---|---|---|
Free | Free | Full incident management, on-call schedules, escalation policies, SLO dashboards, status pages; user limits apply |
Premium | $29/seat/mo | — |
Pro | $20/seat/mo | — |
Enterprise | Contact sales | — |
Squadcast pairs ML alert grouping with SLO-aware escalation.
Squadcast runs ML-based Intelligent Alert Grouping across observability sources to collapse related alerts into single incidents, layers AI-generated incident summaries on top, and uses Auto Pause Transient Alerts to suppress flapping ephemeral alerts. SLO dashboards link incident response back to reliability engineering: incidents that breach an SLO escalate faster than ones inside tolerance.
Who it's for. On-call teams of 5 to 30 engineers running multi-cloud infrastructure who want incident management tied to their observability stack. Scenario: 50 alerts fire across 10 services, Squadcast groups them into 2 incidents, identifies one as imminent SLO breach, and auto-escalates that one to senior SRE while routing the other to the regular on-call rotation.
Tradeoffs. Acquired by SolarWinds in 2025, which raises long-term independence questions. AI features are additive rather than core; the platform works without them and ML grouping is decent but less aggressive than PagerDuty AIOps. SLO dashboards require manual definition; no auto-discovery from observability data. Free tier is basic; AI features need Pro or Enterprise.
Compare: PagerDuty AIOps, incident.io, Opsgenie, Rootly