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Dream

Dream is a YC Summer 2026 (S26) company. Based in San Francisco, CA, USA. Team of 2.

  • Artificial Intelligence
  • Hardware
  • Machine Learning
  • Computer Vision
  • B2B

About Dream

GPAgent's own fund-neutral profile, written from public information. Updated Oct 4, 2026.

Summary

Dream builds pocket-sized, battery-powered AI cameras that document the condition of high-value physical assets every time they move. Car dealerships, equipment rental companies, and fleet operators point the cameras at vehicles and machinery; each pass is photographed from multiple angles, the asset is identified, and a 3D condition record is built automatically. On return, the system flags new dents and scrapes that a manual walk-around inspection would miss, replacing ad-hoc visual checks with a continuous, timestamped record of every asset's condition.

Go-to-market

The product targets operators who move expensive assets in and out repeatedly, including car dealerships, equipment rental companies, and fleets. Customers can book a demo directly from the website to get started.

From the Y Combinator listing

How Dream describes itself in Y Combinator's public directory.

Pocket-sized AI cameras that catch asset damage.

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.

Facts

Industry
B2B / B2B
Location
San Francisco, CA, USA
Team size
2
Status
Active
Stage
Early

Founders (2)

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