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Causely

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What Causely is

Causely provides a causal model of a live system so operations agents can investigate problems and take proactive action. Its causal inference traces upstream causes behind cascading symptoms, with results described as deterministic and explainable. Agents can traverse the causal graph to assess blast radius and compare system behavior before and after a deployment. They connect to the model through MCP.

Causely ingests traces, metrics, logs, and alerts from existing observability tools. OpenTelemetry, Datadog, and Prometheus are named examples. Its supported technologies span 73 listed technologies, including agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams. The product offers full-stack telemetry coverage, root-cause analysis, automated remediation, and workflow automation.

Deployment options include Kubernetes, Docker, hybrid SaaS, and bring-your-own-cloud. In its BYOC option, the application can run entirely in the customer environment, including in air-gapped deployments. Causely says raw source data remains in that environment while distilled symptom state is sent to its SaaS backend; transferred symptom data is encrypted in transit and at rest. The Professional Edition costs $2,000 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 suits

Causely is aimed at teams building or operating operations agents, as well as SRE and platform teams responsible for reliability. It suits teams that want agents to use causal context from telemetry and need hybrid or private deployment options.

What it does well

  • Explains upstream causes across cascading symptoms.
  • Supports blast radius analysis and before-and-after deployment comparisons.
  • Ingests traces, metrics, logs, and alerts from observability tools.
  • Offers BYOC deployment, including air-gapped environments.
  • Professional Edition includes all published integrations and up to 500 services.

What to know first

  • Professional Edition costs $2,000 per month.
  • There is no free plan.
  • Professional Edition includes up to 500 services and 30 days of data retention.

Limits

Professional Edition covers up to 500 services and retains data for 30 days. Enterprise Edition lists no limit on included services and offers custom data retention.

Plans

PlanBilled and limitsPrice
Professional Edition$2,000/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 a month
Enterprise EditionCustom Plans · 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 optionsOn request

As causely.ai lists them, read 30 Sept 2026. The maker's own page has the final word.

Getting started

  1. Visit https://www.causely.ai/.
  2. Start the 30-day trial.
  3. Select Professional Edition at $2,000 per month or request an Enterprise custom plan.
  4. Deploy the mediator in Kubernetes, Docker, or another supported environment.
  5. Connect telemetry sources and agents to the causal model through MCP.

Verdict

Choose Causely if your operations agents or reliability teams need causal analysis across telemetry and deployment changes. The Professional Edition includes up to 500 services, all published integrations, and standard hybrid deployment. Teams needing unlimited included services, custom retention, custom integrations, or on-premises and air-gapped options can consider Enterprise Edition, which uses custom plans.

Questions

How much does Causely cost?

Professional Edition is $2,000 per month. Enterprise Edition uses custom plans.

Does Causely have a free plan or trial?

Causely has no free plan and offers a 30-day trial.

What does Professional Edition include?

It includes up to 500 services, all published integrations, 30 days of data retention, standard hybrid deployment, and a dedicated Slack or Teams channel for ad-hoc help with best-effort response times.

Can Causely run in a private or air-gapped environment?

Its BYOC option can run the entire application within the customer environment, including for air-gapped deployments. Enterprise plans also list on-premises and/or air-gapped deployment options.

What telemetry does Causely accept?

It ingests traces, metrics, logs, and alerts from existing observability tools, including OpenTelemetry, Datadog, and Prometheus.

What are Causely's platform and deployment options?

Listed platforms are API, Linux, self-hosted, and web. Deployment options include Kubernetes, Docker, hybrid SaaS, and bring-your-own-cloud.

Facts from Causely's own pages

Agent access
Agents connect to Causely’s causal model through MCP. · 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
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 location
The company site says it is made in New York and around the world. · 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
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
Founded
2022 · causely.ai, 28 Sept 2026
Headquarters
New York, United States · causely.ai, 28 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
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
Private deployment
The BYOC option runs the entire application within the customer environment, including for air-gapped deployments. · causely.ai, 30 Sept 2026
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
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
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
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

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