What is VSBLTY?
VSBLTY operates at the intersection of computer vision and retail analytics, specializing in the conversion of standard digital signage into Proactive Digital Displays. Through the integration of FacialAnalytics and Advanced Object Recognition (AOR), the company provides real-time customer measurement and engagement metrics that were previously unattainable in physical retail spaces. Beyond commercial applications, the VSBLTY VECTOR platform serves as a critical security enhancement, enabling stadium and entertainment operators to cross-reference persons of interest databases with live surveillance feeds. This dual-purpose technology stack positions the company as a vital partner for enterprises seeking to optimize both operational security and consumer interaction.
How much funding has VSBLTY raised?
VSBLTY has raised a total of $11.2M across 3 funding rounds:
Debt
$150K
Stock Offering
$5M
Stock Offering
$6M
Debt (2020): $150K with participation from PPP
Stock Issuance/Offering (2021): $5M, investors not publicly disclosed
Stock Issuance/Offering (2022): $6M, investors not publicly disclosed
Key Investors in VSBLTY
PPP
Public-Private Partnership
Undisclosed Investor
A strategic participant in the company's stock issuance rounds, providing essential capital for enterprise-level expansion.
Undisclosed Investor
A private backer contributing to the most recent major strategic investment to bolster the company's technological infrastructure.
What's next for VSBLTY?
With the recent influx of capital, VSBLTY is well-positioned to accelerate its product roadmap and expand its footprint in the global security and retail analytics markets. The strategic focus will likely center on refining its AOR capabilities and deepening the integration of its software within existing surveillance ecosystems. As the demand for intelligent, data-backed physical environments grows, the company is poised to capitalize on the shift toward automated, real-time decision-making in public and commercial spaces. Future growth will depend on the successful deployment of these technologies in high-stakes environments where precision and reliability are paramount.
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