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Causeloop is an AI-native intelligence platform. It connects to the systems where your work already happens, finds the patterns behind recurring failures, predicts where they will strike next, recommends the fix — and then proves the fix held.

Quickstart

Sign in, connect your first source, and see your first patterns in ten minutes.

Onboarding tutorial

The full end-to-end journey for setting up a new client workspace.

Product Guide

Learn every screen — issues, patterns, predictions, recommendations, reports.

API Reference

Build on Causeloop with the REST API, webhooks, and real-time events.

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The core loop

Everything in Causeloop revolves around a single closed loop. Each stage feeds the next, and the loop closes when a fix is verified to have held.
1

Issue

Something went wrong — an incident, a defect, a failed check. Issues arrive from your connected sources or are created directly.
2

Pattern

Causeloop clusters related issues to surface the recurring pattern behind them, rather than treating each failure as a one-off.
3

Prediction

From the pattern, Causeloop predicts where and when the failure is likely to recur, so you can act before it does.
4

Recommendation

Causeloop recommends a concrete fix, then tracks whether the failure stops — proving the fix actually held.

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How Causeloop is organized

Organization

Your company — the top-level account (one per client).

Workspace

The data boundary that an organization owns. All issues, patterns, and connectors live inside a workspace.

Members & roles

People are invited into a workspace with a role that governs what they can do.
New to the concepts? Start with the glossary. Ready to build? Jump to the API overview.

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Who this documentation is for

Users & administrators

Day-to-day operators and workspace admins — see the Product Guide and Integrations & Data.

Developers & operators

Engineers building on the API or self-hosting Causeloop — see the API Reference and Deploy & Security.