Skip to content
SPECIFICTION
Get listed

Causely

causely.ai

From $2,000/mo Free trial WebLinuxAPISelf-hosted
Visit causely.ai
Spec score 8.5 #3 of 19 in AIOps Platforms

What it is

Causely gives operations agents a live causal model of a system to help diagnose incidents and act proactively. Its causal inference identifies upstream causes behind cascading symptoms and is described as deterministic and explainable. Agents can traverse the causal graph to assess blast radius and compare behavior before and after deployments; they connect to the model through MCP. Causely ingests traces, metrics, logs, and alerts from existing observability tools, with OpenTelemetry, Datadog, and Prometheus named as examples. Its supported technologies include 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. Causely says raw source data remains in the customer environment while distilled symptom state goes to its SaaS backend. BYOC can keep the entire application in the customer environment, including in air-gapped deployments. Professional Edition is $2,000 a month and covers up to 500 services, with 30 days of data retention and standard hybrid deployment. Enterprise pricing is custom.

Spec sheet

Purpose
Causely gives operations agents causal context from a live model of a system so they can diagnose issues and act proactively.Read 30 Sep 2026 · causely.ai
Intended users
Causely says it is for teams building or running operations agents and for SRE and platform teams responsible for reliability.Read 30 Sep 2026 · causely.ai
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.Read 30 Sep 2026 · docs.causely.ai
Integrations
The supported technologies page lists 73 technologies, including agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams.Read 30 Sep 2026 · docs.causely.ai
Security
The security page states that transferred symptom data is encrypted in transit and at rest and says Causely adheres to SOC 2 standards.Read 30 Sep 2026 · causely.ai
Support
The Professional plan includes a dedicated Slack or Teams channel for ad-hoc help with best-effort response times.Read 30 Sep 2026 · causely.ai
Headquarters
New York, United StatesRead 28 Sep 2026 · causely.ai
Founded
2022Read 28 Sep 2026 · causely.ai
Agent access
Agents connect to Causely’s causal model through MCP.Read 30 Sep 2026 · causely.ai
Blast radius and deploy risk
Agents can use causal graph traversal for blast radius analysis and compare system behavior before and after deployments.Read 30 Sep 2026 · causely.ai
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.Read 30 Sep 2026 · causely.ai
Company location
The company site says it is made in New York and around the world.Read 30 Sep 2026 · causely.ai
Data handling
Causely says raw source data stays in the customer environment and only distilled symptom state is sent to its SaaS backend.Read 30 Sep 2026 · causely.ai
Private deployment
The BYOC option runs the entire application within the customer environment, including for air-gapped deployments.Read 30 Sep 2026 · causely.ai
Root cause analysis
Its causal inference identifies upstream causes across cascading symptoms and is described as deterministic and explainable.Read 30 Sep 2026 · causely.ai
Telemetry inputs
Causely ingests traces, metrics, logs, and alerts from existing observability tools, and its homepage names OpenTelemetry, Datadog, and Prometheus as examples.Read 30 Sep 2026 · causely.ai

Plans and prices

Professional Edition $2,000 a month $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 Read 30 Sep 2026 · causely.ai
Enterprise Edition Priced on request Custom 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 options Read 30 Sep 2026 · causely.ai

Every Causely plan and price →

Strong points and limits

Strong points

  • Explains upstream causes across cascading symptoms.
  • Supports blast-radius analysis and deployment comparisons.
  • Connects to traces, metrics, logs, and alerts.
  • Offers BYOC, including air-gapped deployments.
  • Professional includes all published integrations.

Limits

  • Professional costs $2,000 a month.
  • Professional is limited to 500 services.
  • Professional retains data for 30 days.
  • Enterprise pricing is custom.

Who it suits

Causely is aimed at teams building or running operations agents, as well as SRE and platform teams responsible for reliability. It suits teams that need causal analysis alongside their observability data.

Verdict

Causely combines causal context, telemetry inputs, and deployment-risk analysis for operations agents. Its Professional plan has a listed price and service limit; Enterprise pricing is custom.

Where Specifiction places it

Alternatives to CauselyAll alternatives →