Appelium Intelligence

Appelium Intelligence (AI) uses advanced models to analyze telemetry and provide concise, actionable context about what happened, why it happened, and what to check next. It is designed to speed up root‑cause analysis while keeping engineers in control of final decisions.

What Appelium Intelligence does

• Summarizes the crash, error and test failures in plain language.
• Highlights the most relevant stack frames and likely failure point.
• Suggests probable root causes based on patterns across reports.
• Clusters similar crashes/errors together so you can track impact over time.

Data and privacy

AI analysis uses data already collected by Appelium (crash reports, error reports, logs, and metrics). All data is processed using locally running LLMs. Analyzed data never leaves our data centers in Zürich, Switzerland.

Best practices

• Use consistent error codes/messages to improve grouping quality.
• Verify AI‑suggested causes against source changes and reproduction steps.
• Treat AI output as a starting point, not a final decision.

Accuracy and limitations

Appelium Intelligence provides best‑effort insights, but it can be wrong or incomplete. Always review the evidence (logs, stack traces, metrics, and code) before acting on suggestions.