

RETHINKING MERCHANDISE
PROTECTION
Ethical AI for Unbiased Shoplifting Detection
Percepta uses proprietary AI technology to analyze existing security camera feeds, and alerts employees of shoplifting incidents in real-time. Unlike other solutions to shoplifting, Percepta eliminates bias, protects privacy, and reduce loss.

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More
Percepta is easy to set up and can
assist any size retailer

Accurate
Our superior accuracy translates into improved margins, decreased shrink, and a better experience for retail customers. Percepta's technology performs three times more accurately than humans, automating the redundant mechanical operations and enabling store personnel to focus on servicing your customers.

Unbiased
Percepta leverages cutting edge pose estimation tech to anonymize demographic features of shoppers. Our AI is trained to take race, gender, and age bias out of the equation. Unlike other solutions, Percepta preserves shoppers' privacy and mitigates bias.

How it Works
Percepta uses cutting-edge computer vision and deep learning technology to catch shoplifters.
Combining advanced action recognition, pose estimation, and gaze estimation techniques, Percepta sends alerts to employees' devices whenever we detect potential shoplifting incidents. Percepta’s proprietary AI technology utilizes existing security cameras to alert store agents of shoplifting in real-time. This enables them to take immediate action and deter potential thieves before they walk out.

Stream
footage from existing cameras


Notify
store personnel for an immediate response
Analyze
suspicious behavior from anonymized footage

In partnership with





Awards won






Our
Team
We combined our diverse backgrounds in machine learning, retailing, and computer vision—and Percepta was born. In a reimagined retail security technology landscape, Percepta uses cutting-edge artificial intelligence to protect privacy and remove inherent bias.
At Percepta, we believe profits and ethics can coexist – and we’re excited to be forging this new path in retail.


