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Shape

179 11th St, San Francisco, California, 94103, United States

Overview

ShapeScale builds an AI-powered, photorealistic 3D body scanner that digitizes and measures the body to track changes in fat and muscle. Its computer vision and deep-learning models were developed using a dataset of DEXA scans to estimate visceral fat and lean muscle mass. The device is positioned for a B2B2C go-to-market, used today in weight-loss clinics, gyms, and physiotherapist offices and sold to businesses for $200 per month with no upfront cost. ShapeScale also offers consumer access via a subscription model and emphasizes gamified, visual feedback to improve user engagement. The company reports deployment in 100 business locations and plans to double that number by the end of the quarter. That channel strategy is intended to generate substantial recurring revenue and to refine the product with professional partners before broader consumer expansion. Shape offers the ShapeScale, a combined scale and robotic-arm 3D scanner that uses a structured-light sensor to capture a full-body 3D profile and delivers scans to a mobile app. Scans take under a minute to capture and currently about 15 minutes to transfer to a smartphone via Wi‑Fi. The system extracts body girth measurements and reports localized fat, muscle mass percentage, and body-fat percentage to help users track fitness progress. Shape has been developing the technology for two years and is refining the product to reduce cost before shipping units in 2018. The company has three employees, is based in San Mateo, Calif., and has collected 75,000 followers and more than 10 million trailer views. Shape has taken preorders at a $500 price (with a $100 deposit) and reports that orders have already hit six figures; it has raised $690,000 to date via equity crowdfunding and is backed by Y Combinator.

Total raised
$1M
Funding rounds
2
Latest round
Equity
Latest activity
May 2017

Industries

  • 3D Technology
  • Artificial Intelligence (AI)
  • Computer Vision
  • Fitness
  • Health Care
  • Health Diagnostics
  • Machine Learning
  • Personal Health
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Recent funding

  1. Equity

    May 2017

    $1M

Team