Causely vs NetAI
Causely
causely.aiNetAI
netai.aiSide by side
| Figure | Causely | NetAI |
|---|---|---|
| Price from | $2,000/mo | $5.99/mo |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 10 |
| Spec score · AIOps Platforms | 8.5 (#3) | 9.0 (#1) |
| 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. | Core can run on-premises, in the cloud or in a hybrid arrangement, with an air-gapped option for on-premises installations. |
| Headquarters | New York, United States | San Jose, CA, USA |
| Integrations | The supported technologies page lists 73 technologies, including agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams. | Named ITSM integrations are ServiceNow, Jira and BMC Remedy. |
| Purpose | Causely gives operations agents causal context from a live model of a system so they can diagnose issues and act proactively. | NetAI describes its platform as network operations software that converts topology and telemetry into a deterministic root cause analysis chain. |
| Support | The Professional plan includes a dedicated Slack or Teams channel for ad-hoc help with best-effort response times. | The AWS listing gives [email protected] as vendor support contact and separately describes AWS infrastructure support as 24x7x365. |
Plans
NetAI
- FreeFree
- NetAI Core FreeFree
- Enterprise$5.99 a month
- NetAI Core Enterprise$5.99 a month
- EdgeViewPriced on request
- GraphIQPriced on request
- NetAI Core ProPriced on request
- NetAI EdgeViewPriced on request
- NetAI GraphIQPriced on request
- ProPriced on request
In their own words
Causely
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.