Magic Submission is an automated data extraction, validation and enrichment solution purpose-built for the commercial insurance industry using artificial intelligence technology and machine learning models to provide 98% accuracy in data extraction.
The purpose-built Al models read emails, unbundle complex combinations of ACORD forms, spreadsheets from brokers, custom forms (including mutiple file-formats) and other documents (over 500) to convert extracted information into actionable data for underwriters.
The solution validates and enriches risk-prone information (data points) pertinent to customers such as Address, COPE, NAICS, ISO, Financial, Hazard, class codes, and more against 8000+ data sources.
Each data point is also cross-referenced with others to reinforce the derived validatation.
Our artificially intelligent system is powered with a humanized workflow to analyze and qualify exceptions and errors in real-time and while performing this action, learning through reinforcement for continued improvements in accuracy.
Automate extraction of
500+ document types
8000+ triangulated data sources
providing risk insights
98% extaction accuracy with a
machine learning model
Over 50% reduction in