Predicting injuries and improving outcomes with AI
Talem AI developed a first-to-industry Delta-V model that uses computer vision to predict the change in velocity that occurred for a vehicle in an accident.
Since Delta-V is a main predictor of occupant injury, we use this data to evaluate impact severity and injury causation, all based on a single photo.
Talem’s insights allow Insurers to segment and assign claims with consistency, reserve claims with improved accuracy, and increase customer-centric management by understanding the claimant at a time of need.
How we help
Accelerate Early Claim Activity
Automate the segmentation and appropriately assign claims based on predicted claim severity - all from a vehicle photo
Optimize Injury Claim Outcomes
Gain a clear understanding of the expected occupant injuries in order to accurately reserve, keep cycle times low, and analyze the appropriateness of diagnoses
Expedite Claim Review
Automate your claim review by comparing real claim events with a causation analysis and expected recovery timeline allowing adjusters to quickly identify anomalies and standardize decisions
How It Works
Talem AI developed a first-to-industry Delta-V model that uses computer vision to predict the change in velocity that occurred for a vehicle in an accident. Since Delta-V is a main predictor of occupant injury, we use this data to evaluate impact severity and injury causation, all based on a single photo.
Vehicle image is accessed via secure API or web platform
Computer vision and deep learning predict delta-v and injury insights are produced
Automated segmentation, Effective assignment, Decreased cycle times, & Reduced settlements
No need to directly connect with a vehicle, use specialized software, collect mass amounts of crash information or engage in expensive reconstruction.
Delta-V can now be easily accessed and understood from a photo
What you get
