Causely
Causely gives operations agents causal context from a live model of a system to help diagnose issues and act proactively.
What Causely is
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 $2,000 a month and includes up to 500 services and 30 days of data retention. Causely was founded in 2022 and is based in New York.
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
Watch out
- Professional Edition includes up to 500 services
- Professional Edition retains data for 30 days
- Enterprise pricing is custom
Who it suits
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.
Verdict
Causely provides a live causal model for diagnosing system issues and evaluating deployment risk. Professional Edition is $2,000 a month; Enterprise pricing is custom.
Plans and prices
From Causely's own pricing page, checked 30 Sep 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Professional Edition | $2,000 a month | Up to 500 services · All published integrations · Dedicated Slack/Teams channel for ad-hoc help, best effort response times · 30 days data retention · Standard hybrid deployment · $2,000/month |
| Enterprise Edition | Priced on request | No limit on included services · Custom integrations · Dedicated Slack/Teams channel with optional custom SLAs and Forward-Deployed Engineering support · Custom data retention · On-prem and/or air-gapped deployment options · Custom Plans |
The facts
Each one read from Causely's own pages, with the date it was checked.
What it does
- Agent access
- Agents connect to Causely’s causal model through MCP.checked 30 Sep 2026
- Blast radius and deploy risk
- Agents can use causal graph traversal for blast radius analysis and compare system behavior before and after deployments.checked 30 Sep 2026
- Data handling
- Causely says raw source data stays in the customer environment and only distilled symptom state is sent to its SaaS backend.checked 30 Sep 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.checked 30 Sep 2026
- Integrations
- The supported technologies page lists 73 technologies, including agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams.checked 30 Sep 2026
- Intended users
- Causely says it is for teams building or running operations agents and for SRE and platform teams responsible for reliability.checked 30 Sep 2026
- Private deployment
- The BYOC option runs the entire application within the customer environment, including for air-gapped deployments.checked 30 Sep 2026
- Purpose
- Causely gives operations agents causal context from a live model of a system so they can diagnose issues and act proactively.checked 30 Sep 2026
- Root cause analysis
- Its causal inference identifies upstream causes across cascading symptoms and is described as deterministic and explainable.checked 30 Sep 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.checked 30 Sep 2026
- Support
- The Professional plan includes a dedicated Slack or Teams channel for ad-hoc help with best-effort response times.checked 30 Sep 2026
- Telemetry inputs
- Causely ingests traces, metrics, logs, and alerts from existing observability tools, and its homepage names OpenTelemetry, Datadog, and Prometheus as examples.checked 30 Sep 2026
The company
- 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.checked 30 Sep 2026
- Company location
- The company site says it is made in New York and around the world.checked 30 Sep 2026
- Founded
- 2022checked 28 Sep 2026
- Headquarters
- New York, United Stateschecked 28 Sep 2026
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