Identify the risk you want to insure, but are not yet quoting automatically
This year, underwriters will touch applications from over 7.5 million small-medium sized businesses that fail to get an automatic quote. Without a way to prioritize this high volume of submissions, underwriters lose valuable business and waste time reviewing applications that they ultimately do not quote.
Triage your underwriters workflow with machine learning
Expedite winning quotes, avoid spending money on bad risk
Underwriters query ODN's proprietary cloud-hosted application for an on-demand FICO-like risk score that rank submissions by how well they fit in the underwriting box. The machine learning enabled scores are generated from comprehensive city administrative data and calibrated to help a carrier increase sales strategically and profitably in geographic areas or classes.
➤ One time calibration
➤ No IT installation
➤ No HARDWARE
➤ no customer adoption
➤ CLOUD HOSTED
➤ API & BRICK OPTIONS
Quote high volume lines of business more efficiently
SMALL, MEDIUM Enterprise
Each year, $15 B in SME premiums are up for grabs. We help carriers minimize their spend -- today 43 B across the industry -- and maximize their sales. How does it work, for restaurants? Contact us for a demo ➤
Auto, PERSONAL & COMMERCIAL
It matters when and where cars drive, not only where they are parked at the end of the day. We help carriers quantify the risk on the roads to contextualize telematics devices. How does this work in Chicago? Contact us for a demo ➤
ODN are thought leaders
AND havE been recognized in recent press
ODN brings extensive knowledge of city data and experience using machine learning to deliver a customized, on-demand risk rating that triages insurance quote submissions and pinpoints what's in the underwriting box and most likely to bind. We are a women-owned business, headquartered in NY and DC.