Clarity Systems Secures $4.4 Million Seed Round to Combat Retail Returns Fraud with AI Scanning
By Lauren Towner · 14 August 2026
In brief: Clarity Systems raised $4.4 million in seed funding led by LMnT Ventures to deploy AI-powered X-ray scanning technology that detects retail returns fraud in three seconds without opening packages.
| Funding Amount | $4.4 million |
|---|---|
| Lead Investor | LMnT Ventures |
| Detection Time | three seconds |
| Market Loss 2024 | $103 billion |

Quick Summary
Clarity Systems has raised $4.4 million in seed funding to scale its AI-powered retail fraud detection technology. The system uses X-ray intelligence and computer vision to identify return fraud, such as product swaps and counterfeits, in just three seconds without requiring retailers to open the packaging.
How Does Clarity Systems Solve the Returns Fraud Problem?
Clarity Systems addresses the growing challenge of retail fraud by providing a non-invasive scanning solution that identifies fraudulent returns in three seconds. By utilizing diagnostic-grade X-ray intelligence combined with proprietary AI models, the technology allows retailers to see inside packages without opening them. This process compares returned items against original manufacturer profiles to detect anomalies that manual inspections often miss.
- Detects counterfeits, product swaps, and manipulation.
- Verifies contents in three seconds or less.
- Eliminates the need for manual box opening during receiving.
What Impact Does Returns Fraud Have on the Retail Industry?
The scale of retail fraud is significant, with data from Appriss Retail and Deloitte estimating that it cost retailers $103 billion in 2024. This figure represents more than 15% of all returned merchandise. Traditional retail defenses, often designed for shoplifting, have struggled to keep pace with professionalized fraud at the returns counter and receiving dock. Clarity Systems provides a smarter approach that reduces losses without creating friction for legitimate customers.
Who is Supporting Clarity Systems' Market Expansion?
The $4.4 million seed round was led by LMnT Ventures, with additional participation from Regeneration VC, Humba Ventures, and Massive Technology Ventures. Clarity Systems was founded by industry veterans Andy Ruben, Darrell Whitelaw, and Sender Shamiss. The company has already secured partnerships with major national retailers, integrating its technology into their active returns and receiving operations to catch fraud the moment it enters a facility.
FF NEWS TAKE:
This announcement moves the needle by addressing a $103 billion pain point with hardware-enabled AI rather than just software. By reducing the inspection time to three seconds, Clarity Systems makes fraud detection operationally viable for high-volume retailers. This technology shifts the industry away from blunt return restrictions toward precise, data-driven verification, effectively protecting margins while maintaining a positive experience for honest consumers.
Frequently asked questions
How much funding did Clarity Systems raise in its seed round?
Clarity Systems raised $4.4 million in its seed round. The investment was led by LMnT Ventures, with participation from Regeneration VC, Humba Ventures, and Massive Technology Ventures.
How does Clarity Systems detect returns fraud without opening boxes?
The technology uses diagnostic-grade X-ray intelligence and computer vision to see inside packages. It compares the contents against the original manufacturer profile to identify counterfeits or product swaps in three seconds or less.
What is the financial impact of returns fraud on retailers?
According to data from Appriss Retail and Deloitte, returns fraud cost retailers an estimated $103 billion in 2024. This represents more than 15% of all returned merchandise.
About the companies
LB Ventures
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Clarity Systems
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Companies in this story: Deloitte, LB Ventures, Clarity Systems, Regeneration VC, Appriss Retail, Technology Ventures, Humba Ventures
People in this story: Jeff Miller, Sender Shamiss, Andy Ruben, Darrell Whitelaw