About Prism Labs

Prism Labs develops AI-powered software that utilizes computer vision and machine learning to create accurate 3D body maps from mobile phone camera data. This technology enables users to easily assess body composition and track fitness progress without the need for expensive equipment or professional assistance.

```xml <problem> Traditional methods of assessing body composition and tracking fitness progress often require expensive equipment, specialized facilities, and trained professionals, limiting accessibility and convenience for many individuals. Existing mobile solutions may lack the accuracy and precision needed to provide meaningful insights into body changes over time. </problem> <solution> Prism Labs offers an AI-powered platform that generates accurate 3D body maps from mobile phone camera data, enabling users to conveniently assess body composition and track fitness progress. The platform utilizes computer vision and machine learning algorithms trained on a large dataset of body scans to provide precise measurements and insights. Users can monitor changes in body shape, track lean muscle mass, and gain a deeper understanding of their fitness journey without the need for specialized equipment or in-person assessments. The technology is validated against industry standards, ensuring reliable and actionable results. </solution> <features> - AI-powered 3D body mapping from mobile phone camera input - Computer vision and machine learning algorithms trained on hundreds of thousands of body scans - Tracking of body composition metrics, including lean muscle mass - Trend analysis to visualize progress over time - Integration with existing fitness apps via API and mobile SDK - Third-party validation from body composition experts </features> <target_audience> The primary target audience includes fitness enthusiasts, individuals tracking body composition changes, and health and wellness companies seeking to integrate body scanning technology into their mobile applications. </target_audience> ```

What does Prism Labs do?

Where is Prism Labs located?

Prism Labs is based in Arvada, United States.

When was Prism Labs founded?

Prism Labs was founded in 2019.

Location

Arvada, United States

Founded

2019

Employees

15 employees

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Prism Labs

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Executive Summary

prismlabs.tech 500+

Founded 2019 – Arvada, United States

Funding

No funding information available.

Team (15+)

No team information available.

Company Description

Problem

Traditional methods of assessing body composition and tracking fitness progress often require expensive equipment, specialized facilities, and trained professionals, limiting accessibility and convenience for many individuals. Existing mobile solutions may lack the accuracy and precision needed to provide meaningful insights into body changes over time.

Solution

Prism Labs offers an AI-powered platform that generates accurate 3D body maps from mobile phone camera data, enabling users to conveniently assess body composition and track fitness progress. The platform utilizes computer vision and machine learning algorithms trained on a large dataset of body scans to provide precise measurements and insights. Users can monitor changes in body shape, track lean muscle mass, and gain a deeper understanding of their fitness journey without the need for specialized equipment or in-person assessments. The technology is validated against industry standards, ensuring reliable and actionable results.

Features

AI-powered 3D body mapping from mobile phone camera input

Computer vision and machine learning algorithms trained on hundreds of thousands of body scans

Tracking of body composition metrics, including lean muscle mass

Trend analysis to visualize progress over time

Integration with existing fitness apps via API and mobile SDK

Third-party validation from body composition experts

Target Audience

The primary target audience includes fitness enthusiasts, individuals tracking body composition changes, and health and wellness companies seeking to integrate body scanning technology into their mobile applications.