Upload claims data — AgriIntel automatically detects anomalies, scores regional risk, and surfaces AI-generated insights. No configuration required.
No credit card required · Trial included
Datasets Ingested
24
Open Anomalies
138
High Risk Regions
7
Insights Generated
52
Recent Anomalies
Features
Purpose-built for insurers, field surveyors, and fraud investigators who need clear signals fast.
Automatically flags duplicate claims, abnormal amount spikes, and region concentration outliers as soon as data is ingested.
Every region receives a composite risk score (0–100) based on claim volume, amount anomalies, and historical rejection rate.
Claude-powered summaries translate raw anomaly signals into plain-language risk commentary for every ingested dataset.
Heat map view of risk levels by region, district, and zone — instantly understand where exposure is concentrated.
Set anomaly thresholds and get notified automatically when a scan breaches limits. Pause or tune rules at any time.
Row-level security on every table. Your claims data is never visible across accounts — enforced at the database layer.
How it works
Drop in a CSV of crop insurance claims. AgriIntel auto-detects columns — claim_id, region, amount, crop type, status.
Anomaly detection, risk scoring, and insight generation all run in the background. No waiting at the UI.
Check anomaly lists, regional risk scores, geo heat maps, and AI insights from your processed dataset.
Get started
No setup. No SQL. Upload a claims CSV and receive risk scores, anomaly flags, and AI insights automatically.
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