Causely
- Android app
- Not listed
- Free plan
- Trial only
- Paid plans from
- $2,000/mo
- Runs on
- api, Linux, self-hosted, Web
Summary
Causely gives operations agents causal context from a live model of a system to help diagnose issues and act proactively. Its causal inference identifies upstream causes across cascading symptoms and is described as deterministic and explainable. Agents can traverse the causal graph to assess blast radius and compare system behavior before and after deployments; they connect to the model through MCP. Causely ingests traces, metrics, logs, and alerts from observability tools, including OpenTelemetry, Datadog, and Prometheus. Its supported technologies page lists 73 technologies spanning agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams. Deployment options include Kubernetes, Docker, hybrid SaaS, and bring-your-own-cloud; BYOC can run the entire application in the customer environment, including air-gapped setups. Causely says raw source data remains in the customer environment while distilled symptom state goes to its SaaS backend. Professional Edition costs 2000.00 USD per month and includes up to 500 services and 30 days of data retention. Causely was founded in 2022 and is based in New York.
Who it is for
Causely is intended for teams building or running operations agents and for SRE and platform teams responsible for reliability. Its BYOC deployment may suit customers needing the application to run within their own environment.
What is good
- Connects operations agents through MCP
- Uses causal graph traversal for blast-radius analysis
- Ingests traces, metrics, logs, and alerts
- BYOC supports air-gapped deployment
What to know first
- Professional Edition includes up to 500 services
- Professional Edition retains data for 30 days
- Enterprise pricing is custom
Verdict
Causely provides a live causal model for diagnosing system issues and evaluating deployment risk. Professional Edition is 2000.00 USD per month; Enterprise pricing is custom.
Causely plans and pricing
All plansCompared 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
Company
- Founded
- 2022causely.ai · 28 Sept 2026
- Headquarters
- New York, United Statescausely.ai · 28 Sept 2026
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Where it ranks on Everything Xiaomi
- Best AIOps Platforms in 2026#6 of 16
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Sources
- causely.ai/product· checked 30 Sept 2026
- docs.causely.ai/getting-started/supported-technologies/· checked 30 Sept 2026
- causely.ai/security· checked 30 Sept 2026
- causely.ai/pricing· checked 30 Sept 2026
- causely.ai· checked 30 Sept 2026
- causely.ai/about-us· checked 30 Sept 2026