
Dream
Pocket-sized AI cameras that catch asset damage.
San Francisco , US
Artificial Intelligence
Hardware
Machine Learning
Computer Vision
B2B
Dream makes pocket-sized, battery-powered AI cameras that catch damage teams miss. Car dealerships, equipment rental companies, fleets, and more move expensive assets in and out all day, and undocumented damage is a costly leak.
Dream cameras are simple to set up and work automatically. Each vehicle or machine that passes is photographed from every angle, identified, and reconstructed into a 3D condition record. On return or intake, Dream instantly flags new dents, scrapes, and changes your team might miss, giving one source of truth for every asset's condition over time.
Ryland worked at X/xAI and built aerial damage-detection vision at Vexcel Imaging. Alexander worked at AWS and trained edge-camera models deployed in the wild across Africa and India to detect poachers.
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Create Your First ProjectFounded2026
Team Size2
LocationUS
Websitewww.pingdream.com/
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