Stop losing customers to undetected vehicle damage and fee disputes.
Scale your car club confidently with AI that catches damage before the next booking and eliminates disputes—all from smartphone photos.
Scale your car club confidently with AI that catches damage before the next booking and eliminates disputes—all from smartphone photos.
Confidence: 99.9%
Confidence: 64.2%
Confidence: 99.8%
Plus comprehensive exterior damage detection for complete vehicle inspections
“Working with Hannah on the AI damage detection pilot has been a great experience. The API was easy to integrate into our process, and the models helped reduce manual review time significantly while improving consistency. We’re excited about the potential of this technology for scaling operations efficiently.”
Integrate within a day to get started with vehicle monitoring.
Tinpot is the only provider with interior damage detection (stains, scratches, mess)— the issues that impact customers most.
We analyse images in ~two seconds, with clear “damage/no damage” output. This means no delays, and no complex reports.
Our models are trained on real-world photos from everyday users in the UK, meaning we can handle a wide range of image quality and weather conditions. Whatever a human could detect, our AI can.
We're a technology company spun out from Imperial College London, focused on making car sharing more reliable and accessible. We believe this environmentally friendly form of mobility should be encouraged, but it requires solving real operational challenges that erode user trust.
Our founder developed this solution during a Master's in Design Engineering after identifying how undetected vehicle damage creates problems for both users and operators. When customers encounter dirty cars or receive fines for damage they didn't cause, trust erodes quickly. Research confirms this: 72% of shared economy users report inconsistent experiences.
We specialise in automated damage detection from smartphone photos, covering both exterior and interior damage. While other solutions focus on obvious dents and scratches, we're currently the only provider that reliably detects interior issues like stains, mess, and wear—the problems that actually impact customer experience most.
Our team works with specialised data labelers to continuously improve detection accuracy, supported by advisors from both industry and Imperial College London. We built this specifically for car sharing's operational realities: quick turnarounds, distributed fleets, and preventing customer complaints rather than just documenting damage after disputes arise.
Scale confidently with AI that catches interior and exterior damage before the next booking—protecting your fleet and reputation through smartphone photos alone.