Predict & prevent incidents

Move faster and stay reliable with deterministic AI that replaces reactive troubleshooting with causal understanding.

Trusted by teams who can't afford downtime

The Challenge

Automating reliability requires understanding causality

Most AI added to observability assumes you already know what to investigate and when. It is reactive, hallucinates explanations, and can't reason about counterfactuals. What's missing is continuous causal inference.

Too much noise, too little signal

Alerts everywhere. Answers nowhere.

Shifting dependencies

What worked yesterday breaks today, and the root cause moves with it.

Fragmented ownership

Incidents span teams, tools, and clouds.

Constant change

Code ships daily. AI writes more of it. Regressions slip through.

What we do

From chaos to causality

Causely transforms the noise of traditional observability into a structured, real-time causal model of your system, moving you from manual triage to autonomous reliability.

Causely causal inferencing system showing telemetry inputs, mediation layer, and causal graph powering insights.
Why causely

Reliability that compounds over time

By replacing reactive monitoring with causal inference, Causely customers achieve predictable SLOs, happier teams, and faster delivery.

Comparison table showing Causely outperforming status quo and agentic approaches in speed and accuracy.

Accelerate resolution

Achieve the speed of AI without the hallucinations of LLMs—getting you to action in seconds.

Proactively prevent incidents

Catch subtle warnings across your entire system ahead of time to prevent cascading failures and guarantee reliability.

Increase productivity

Reduce reactive, unplanned work while improving developer experience

Avoid revenue loss

Prevent SLO violations before they impact customers, protecting both user experience and income.

Testimonials
Amazon
Yext
Quantum Metric
Cisco
Fountain
Amazon
Yext
Quantum Metric
Cisco
Fountain

"If you're serious about automating reliability in microservices, you need what Causely is doing. Language models are powerful, but they can't make the right calls without structured causal context. That's the gap Causely fills, and it's what makes real-time automation possible."

Karthik Ramakrishnan

VP Artificial General Intelligence

getting started

Build reliable systems that run themselves

Get from observability data to autonomous reliability in minutes.

1
Connect your telemetry

Connect your telemetry

Deploy mediator into your environment to locally process signals from multiple sources like OTel, Datadog, Prometheus, and more.

Connect telemetry sources like Prometheus, Dynatrace, MySQL, and Elasticsearch to Causely’s platform.
2
Generate your graph

Generate your
live causal graph

Causely automatically builds in seconds your dependencies and system dynamics in real time.

Live causal graph displaying service dependencies, error rates, and performance metrics generated by Causely.
3
Get causal insights

Get to the cause

Receive the exact cause of your symptoms, location, and solution, cutting triage from hours to seconds.

Root cause detection view highlighting performance issues like high memory usage, retry storms, and workload congestion.
4
Predict & prevent

Predict & prevent

Get actionable insights to prevent future incidents and improve your system's reliability.

Predictive service status panel showing CPU usage, latency trends, and automated incident risk forecasts.

Move from reactive to autonomous reliability

Connect with our team today to try out our product and see how Causely can work for you.