Kaime

Kaime – AI-Powered Vehicle Expert
Kaime is an AI-powered vehicle inspection app redefining trust in the used car buying process.
Upload your car to the system and Kaime’s advanced analysis algorithms will evaluate all the details for you.

Expert Inspections with AI
Kaime’s custom AI engine analyses thousands of vehicle data points to generate an automatic expert report.
The system assesses your car’s condition, identifies potential issues, and estimates its market value.
No more guesses — you’ll hold data-based certainty about your car’s history and condition!

How It Works
Enter Vehicle Details:
Easily input make, model, year, mileage, fuel type, transmission, color, and overall condition.
Upload Photos:
Interior and exterior images are analysed by Kaime’s AI.
Smart Analysis Begins:
Kaime evaluates your vehicle’s technical status and delivers an expert report within seconds.
Price Estimate & Chronic Issues:
The AI model calculates an estimated market value and lists brand-specific recurring problems.
Thus, you can foresee potential costs in advance.

What You Can Do with Kaime
Generate AI-assisted expert inspection reports.
Learn your vehicle’s estimated price.
See chronic defects and possible maintenance costs.
Make informed decisions when buying or selling.
Speed up the process and transact with confidence.

Who Is It For?
Used car buyers and sellers
Dealerships
Individual users wanting to know their vehicle’s true value

Why Kaime?
Fast, accurate results through AI-powered analysis.
Comprehensive expert reports, price estimates, and defect listings.
Secure data handling and user-friendly interface.
Neutral, data-driven results.

Secure, Smart & Fast
Kaime processes all data securely.
It analyses your vehicle using real market data and historical vehicle statistics.
In turn, you experience a more informed, faster, and safer car buying/selling journey.

Kaime – Know your car with AI, understand its worth, buy or sell with confidence!

Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/