Convert noisy incident alerts into probable root cause, evidence-based confidence, safe next actions, what-to-avoid guidance, and executive RCA summaries — starting with simple CSV/Excel exports and no live production access.
Test RCA Demo Open Geo Intelligence StudioCustomer shares CSV/Excel incident alerts, tickets, deployment notes, or maintenance data.
The assistant finds first failure signal, correlated symptoms, contradictions, and confidence reasoning.
Customer receives RCA findings, safe actions, what to avoid, executive summary, and prevention plan.
Upload a sanitized incident export in CSV format. Excel users can save the file as .csv before uploading. Velora will analyze the incident signals and generate RCA classification, confidence, evidence, safe actions, what-to-avoid, prevention recommendations, and an executive summary.
Your CSV must include this header row:
timestamp,signal_type,severity,message,context
Each row should represent one alert, ticket, deployment note, maintenance entry, DNS/certificate signal, database signal, network signal, or incident symptom.
Detect network degradation before downstream service symptoms.
Correlate release/change timing with application failures.
Identify DB pressure, slow query, connection pool or capacity saturation patterns.
Find dependency failures around endpoint resolution or certificate expiry.