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Innovative technology & information intelligence
“Car-to-cloud EDR data & analytics system for cost-effectively settling and
investigating claims”

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Company overview
✓ Founded in 2015. Team of experts in automotive engineering, cloud security, data science, reconstruction & bio-mechanical sciences
Customers include insurers and police in the United States, Canada, Europe, South Africa and Australia.
Field retrieval through Collision Sciences and channel partners
✓ Proprietary Technology, patent protection in USA and 30+ countries

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Executive summary
New technology from Collision Sciences enables the use of EDR (Event Data Recorder) “black box” data in claims at high volume, helping insurers to reduce claim costs, improve industry processes, and enhance the customer experience.
The Technology: Proprietary tech retrieves crash data, transmits to the cloud for analysis, and processes into flags and easy-to-read reports.
{ structured data is also available for internal process improvement }

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Simple technology
Professional Scan Tool
PDF Vehicle Data Reports
& Mobile App
Crash Severity, Fraud & Liability
Pocket Bluetooth OBD tool. Simple, fast and automated. Real-time
in-app crash insights to validate the
Flags, Pre-crash vehicle speed, Driver Pedal Use, Injury Risk and
claim, determine liability and settle
referenced studies, Recalls, IIHS
both quickly and accurately.
Safety data & Vehicle Health

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Outcomes / use cases
Factual Source of Data ---> “Knowledge = Power”
✓ Claim Validation: Fraud Outcomes Improved ✓ Improved Liability Decisions & Subrogation Results ✓ Injury Mitigation (LVI), Claim Triage / Segmentation ✓ Improved Cycle Time, Resolve Disputes Faster ✓ Resource Allocation (Investigators, Expert Engineers)

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EDR for claim validation
Better Data. Better Claim Outcomes.
Cross-reference EDR with Reported Circumstances:
✓ Consistent reported Travel Speed? ✓ Consistent pre-impact driver maneuver? ✓ Was the vehicle actually moving or stopped? ✓ Consistent physical damages and history? ✓ Was there a legitimate injury claim? ✓ Occupancy (to confirm number of passengers)

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Automated alerts
Collision Sciences algorithms provide flags for:
✓ Potential Staged Collisions (Ex. Swoop & Squat, Panic Stop, Drive Down (No Avoidance Maneuver), Steered-to-Sideswipe, Possible Intentional Damage ✓ Pre-damaged Vehicle, Accident Outside Policy Period ✓ Odometer Rollback ✓ Unbuckled occupants ✓ Possible Distracted Driving

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Report data & analytics
Full PDF Reports include EDR context, data analytics, recon-type
calculations and data from multiple sources.
Safety Recalls, VIN
Occupant information
Black Box Car Data, Vehicle Health (DTCs),
History, IIHS data,
(Presence, Belt Use),
Flags/Loss Indicators, Cross-reference Reported
Repair Information
Vehicle Specs
Injury Risk Data
Circumstances
● Data, Context, Recon Calcs ● Data Analytics, Flags & Risk

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Crash data records

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EDR pre-crash data
Point of Impact

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Management reports
*custom Excel files available

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Strategic integration
Internal Data Source
Customizable Reports
Programmable APIs
Customize “Recommended Actions” for staff, Injury Risk Data
Enhanced Segmentation. Use severity and pre-crash data for
fraud intelligence, probable
Cross-reference FNOL data automatically with EDR data. Custom Alerts, Automatic SIU
Presentation, Provide a “Customer” Vehicle Health Report
liability, actuarial studies,
referral or Casualty
underwriting, and more.
Segmentation.

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Pilot options
External SIU: Carriers can request targeted field data retrieval through Collision Sciences’ vended field teams (with coverage across the USA)
AND / OR
Internal SIU: Carriers may equip internal field personnel with the “CrashScan” diagnostic scan tool. Reports can be reviewed quickly and downloaded as a full report.

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Our mission
“Deliver data-driven insights to drive claim decisions by aggregating, analyzing and utilizing factual collision data”

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Innovative technology & information intelligence
APPENDIX:
✓ 2-minute VIDEO ✓ Sample Report Data
Questions? Email: service@collisionsciences.ca

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Field demo: app & instant PDF

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Crash history/severity
Contextual data, calculations and ordering format saves significant time

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Drive down (staged?)
Algorithm flags hard acceleration with no avoidance (brake/steer)

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Pre-damaged vehicle?
Was the claimed “Front” damage from a prior collision?

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Accident pre-policy period?
Was there coverage at the time of loss?

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Intentional damage?
Flags multiple, similar crashes on the same (or sequential) ignition cycle

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Occupant presence?
Validate the number of occupants and flag “jump-ins”

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Odometer rollback!
Flag vehicle valuation scams (total loss)

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Distracted driver evidence
Liability Evidence for “last clear chance” - Negligence

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Excessive speed
Was there sufficient negligence to reduce (or deflect) the claim?

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EDR injury science
Statistical Injury data for severity validation, claim negotiation

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3rd party injury?
Predict the “other vehicle” severity with 1st Party EDR data
