Overview
Causely is an AI SRE platform dedicated to ensuring your complex cloud native applications stay reliable. It prevents incidents, speeds up fixes, and sustains performance without requiring dashboards, manual queries, or custom model training.
By leveraging your existing observability data and applying causal reasoning, Causely answers the three key questions every engineering team cares about: where an issue is, what it is, and why it happened. With this context, Causely enables fast, actionable remediation, whether handled by engineers or automated through AI.
Customers use Causely to cut time spent troubleshooting, prevent escalations, and keep services within SLOs, all while empowering engineers to focus on delivering new capabilities instead of firefighting incidents.
Highlights
- Zero-shot causal inference at scale: Causely continuously analyzes observability data and applies causal reasoning to map your system in real time. No data preparation, model training, or new instrumentation is required. It identifies where issues occur, what they are, and why they happen, instantly turning noisy telemetry into clear, actionable insight that reduces downtime and improves reliability.
- Bring your input, choose your output: Causely ingests metrics, traces, and logs from your existing observability stack and applies causal reasoning to explain where an issue is, what it is, and why it happened. These context-rich insights can be routed to incident pipelines, surfaced in natural language copilots, or used to trigger automatic remediation through our MCP Server. From guided triage to autonomous resolution, Causely keeps services within SLOs.
- Installs in minutes, delivers value in seconds: Causely deploys a lightweight agent that processes data locally for fast, secure time to value. With no need for new instrumentation or model training, teams can begin detecting issues and resolving them immediately. This short-circuits traditional troubleshooting and accelerates reliability gains across complex cloud native environments.
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Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Service | A service represents one deployable application component, such as a microservice, API, or external dependency. Each service that Causely analyzes as part of your topology for causal inference counts toward your plan. This plan includes up to 500 services; additional services can be added by upgrading your plan. | $24,000.00 |
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Refunds may be granted only in limited cases (e.g., duplicate charges, billing errors, or vendor-approved exceptions).
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