Built for clean, accurate location intelligence

AI Ingestion &
Geolocation

CERA® AI Ingestion & Geolocation capability transforms unstructured submission data into precise, geocoded locations — ensuring reliable mapping, modelling, and downstream risk analysis.

What It Delivers

AI Ingestion & Geolocation

CERA’s AI Ingestion & Geolocation enables brokers, MGAs, and (re)insurers to instantly transform messy, unstructured risk data into clean, geocoded exposure datasets. Schedules of values, spreadsheets, and submission data are automatically extracted, standardised, and mapped—ready for immediate analysis.
This allows underwriting teams to assess risk at quotation stage, without delays from manual cleansing or third-party processing. The result is faster turnaround, better-informed decisions, and the ability to model large volumes of risks directly at the desk.
What It Does

What AI Ingestion & Geolocation
Does

Ingests unstructured SOV and submission data
Cleans and standardises risk data fields
Geolocates risks to precise coordinates
Flags errors, gaps, and duplicates
Outputs model-ready exposure datasets
Solutions

Value by Segment

CERA® is built to increase productivity and improve underwriting performance  — helping MGAs, brokers, and insurers assess risk faster, manage exposure at scale, and make more confident decisions.

MGAs

Model risks instantly at quote stage
Remove reliance on external modelling providers
Speed up underwriting and quote turnaround

Brokers

Prepare submission data for instant analysis
Eliminate delays from third-party processing
Deliver faster, data-driven placements

Insurers & Reinsurers

Assess submissions immediately at the desk
Reduce dependency on external data cleansing
Accelerate underwriting and portfolio analysis
Flexibility & Enterprise Readiness

Integrations & Inputs

Compatible inputs include:

API integrations

SOV and bordereaux uploads

Excel / CSV ingestion

PDF submission parsing

Policy admin system feeds

Outputs to cat models

Results

Underwriting
in minutes, not days.

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