Causely

Input—per 1M tokens

Output—per 1M tokens

Context—tokens

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About

Causely is ranked #6 of 16 in AIOps platforms on Inferse. It runs on API, Linux, Self-hosted, Web. There is no free plan. A free trial is offered. Paid plans start at $2,000/mo.

Compared on AIOps platforms

Free plan: Nocausely.ai
Paid from: $2,000/mocausely.ai
Root-cause analysis: Yescausely.ai
Automated remediation: Yescausely.ai
Telemetry coverage: full-stackcausely.ai
Deployment model: hybridcausely.ai
Data retention: 30 dayscausely.ai
Workflow automation: Yescausely.ai

Facts

Purpose: Causely gives operations agents causal context from a live model of a system so they can diagnose issues and act proactively.causely.ai · 30 Sept 2026
Root cause analysis: Its causal inference identifies upstream causes across cascading symptoms and is described as deterministic and explainable.causely.ai · 30 Sept 2026
Blast radius and deploy risk: Agents can use causal graph traversal for blast radius analysis and compare system behavior before and after deployments.causely.ai · 30 Sept 2026
Agent access: Agents connect to Causely’s causal model through MCP.causely.ai · 30 Sept 2026
Telemetry inputs: Causely ingests traces, metrics, logs, and alerts from existing observability tools, and its homepage names OpenTelemetry, Datadog, and Prometheus as examples.causely.ai · 30 Sept 2026
Integrations: The supported technologies page lists 73 technologies, including agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams.docs.causely.ai · 30 Sept 2026
Deployment: The documentation lists Kubernetes, Docker, and other environments for deploying the mediator; the maker also describes hybrid SaaS and bring-your-own-cloud options.docs.causely.ai · 30 Sept 2026
Data handling: Causely says raw source data stays in the customer environment and only distilled symptom state is sent to its SaaS backend.causely.ai · 30 Sept 2026
Security: The security page states that transferred symptom data is encrypted in transit and at rest and says Causely adheres to SOC 2 standards.causely.ai · 30 Sept 2026
Private deployment: The BYOC option runs the entire application within the customer environment, including for air-gapped deployments.causely.ai · 30 Sept 2026
Support: The Professional plan includes a dedicated Slack or Teams channel for ad-hoc help with best-effort response times.causely.ai · 30 Sept 2026
Intended users: Causely says it is for teams building or running operations agents and for SRE and platform teams responsible for reliability.causely.ai · 30 Sept 2026
Company location: The company site says it is made in New York and around the world.causely.ai · 30 Sept 2026
Company history: The about page says founder Dr. Shmuel Kliger created Causely with former Turbonomic engineering leaders and experts in distributed systems and causal analysis.causely.ai · 30 Sept 2026