Reasons to Invest
Exclusively Licensed Patent supported hardware with proprietary technology: verihand™ is powered by a proprietary algorithm with AI and ML in front-end and Blockchain technology creating a pure digital ID for each individual
Growing markets: The biometric system market is expected to be worth $65.3B by 2024 and the Identity and Access Management (IAM) Market is to surpass $24.1B by 2025
Multi-pronged business model: verihand™ is sold as a hardware reader with additional licensing costs for SaaS (software as a service); database subscription; software through SDK and API as well as transaction fees if used as a payment solution
THE PROBLEM
Identity Fraud and Data Security Breaches Are Rampant
In 2020, the number of data breaches in the United States was 1,001 cases. Over the course of the same year, more than 155.8 million individuals were affected by data exposures. And current biometric authentication services don’t necessarily help. There’s a new victim of identity theft every 2 seconds. Authentication can be duplicated through fingerprints, identity theft, false claim, stolen passwords, and other fraudulent methods.
Identity Theft Statistics
Consumers lost more than $56 billion to identity theft and fraud in 2020.
Identity theft is the most common consequence of a data breach, occurring 65% of the time.
Around 1 in 15 people become victims of identity fraud.
Emotional distress is reported by 77.3 percent of identity theft victims.
THE SOLUTION
Meet Verihand™: Your First Contactless Hand Biometric
Through our proprietary blockchain algorithm at nVIAsoft, we have created a pure digital ID through the unique and complex hand biometric pattern of each individual. Verihand™ reads the entire hand rather than individual fingers or the palm. This offers a strong and contactless authentication process, which won’t compromise the use of face shields or masks. Our solution replaces passwords, keyfobs, personal IDs, and magnetic cards.
Unlike fingerprint biometric technology, we eliminate the possibility of leaving traces which can be fraudulently duplicated. Our unique biometric pattern from the hand is being captured with the consent of the user - eliminating accidental invasion or intrusion of privacy unlike facial and voice recognition.