Claim Assessment using Automation
We detect damages, take repair vs replace decisions on car parts, and integrate with credible sources of part & labor costs to estimate $ claim value for vehicles
Claim Assessment
We utilise 15 modules to estimate claim value of vehicles. These modules can be easily calibrated across markets. We have partnered with leading players around the world to acquire local part costs, labor rate per hour
Repair vs Replace
Dismantling decision
Labor rate/hr - local partnerships
VIN reading
Taxes
Removal and refit hours
Old or prior exclusions
Discounts
Repair labor hours
% panel paint required
Part prices - local partnerships
Odometer reading
Depreciation
Paint hrs
Cause of damage
AI Claim Review
Under auto insurance claim review, the garage and/or adjustor builds an estimate. This estimate is sent to Inspektlabs and claims with high probability errors are flagged (e.g. a part that could have been repaired was replaced, 5 hrs of labor was charged when only 1 hr of labor was required). These claims are then manually reviewed by the insurer.
Repair vs Replace
Dismantling decision
Labor rate/hr - local partnerships
VIN reading
Taxes
Frequently Asked Questions
Do you have a support desk to fix issues?
Yes. We have a 24x7 support desk to address and fix any issues you are facing with our product. You can raise a JIRA ticket or directly email us to flag your issues.
Can Inspektlabs integrate with my existing systems?
Yes. We provide a variety of API integrations to seamlessly integrate into your existing system and workflow.
Can Inspektlabs provide repair cost estimates?
Yes. Our tool allows you to fetch repair estimates from various estimatics providers based on the extent of damage.
Can I use your product to conduct pre-inspections?
Yes
Inspektlabs AI can help automate your pre-inspection process and easily determine the ideal premium to charge based on the vehicle's condition.
The algorithm also detects instances of damage cover-up using stickers, vehicle switching etc. to avoid fraudulent claims in the future.
How do you calibrate repair methodologies for different markets?
We will collect information from you during the onboarding phase using a survey methodology.
This information will later be used to calibrate repair methodologies that fit your process.
For example: A sharp hole in a car's front bumper is usually repaired in the USA, while it is to be replaced in Germany. We can use this information to calibrate our product to your country's market and company preferences.
Can I use your product to conduct FNOL?
Yes.
All you have to do is share a link with your customer who can upload photos and videos via our Web app. These photos are then analysed using Inspektlabs' proprietary AI and a detailed report covering total loss vs. repairable loss decisions is shared with you
