OverviewData Ingestion

Data Ingestion

Raw data to intelligence in minutes

How It Works

Step through the process to see how it works.

1

File Upload

Analyst uploads a CSV file containing 500 CDR (Call Detail Records) from a telco provider — 2.3MB, 5 columns.

Upload
AI Mapping
Entity Resolution
Deduplication
Flagging
CDR_Telco_Export_2026.csv
500 records · 2.3 MB · 5 columns
Records: 500Matched: 0Created: 0Merged: 0Flagged: 0
Step 1 of 5

Key Features

Core capabilities that power this module.

Multi-Format Import

Supports CSV, JSON, and Excel files with drag-and-drop upload and automatic format detection.

AI Column Mapping

Machine learning maps source columns to entity fields with confidence scores — no manual configuration needed.

Fuzzy Entity Resolution

CNIC-based deduplication with phonetic name matching catches duplicates that exact matching misses.

Threat Auto-Flagging

New connections to existing threat entities are automatically flagged for analyst review during ingestion.

Scenario: Telco CDR Bulk Import

A realistic walkthrough using fictional intelligence data.

A district intelligence office receives a telco dump of 500 CDR records from a suspect cell tower. The analyst needs to process this data, identify known entities, and discover new threat connections.

1CSV uploaded in 3 seconds — system auto-detects 5 columns with field type classification
2AI mapping achieves 94% average confidence — only cell_tower_id requires manual confirmation (87%)
347 of 847 unique phone numbers resolve to known persons in the database — 12 via fuzzy CNIC matching
43 new numbers discovered making 43 calls to Bilal Akhtar (CRITICAL, 82) and Junaid Abbas (CRITICAL, 91)
5Analyst receives a flagged connections report and initiates Nexus network expansion on the 3 new numbers

Ready to Transform Your
Intelligence Operations?

Deploy CLERINT Fusion on your infrastructure — cloud, on-premise, or fully air-gapped. See it in action with your own data.