Trust Stamp announces the release of its new AI-Powered Age Estimation technology

Trust Stamp announces the release of its new AI-Powered Age-Estimation technology designed to allow both online and offline enterprises to estimate the age range of a user based upon the capture of a facial image

Atlanta, GA, March 13, 2024 (GLOBE NEWSWIRE) -- Trust Stamp (Nasdaq: IDAI), the Privacy-First Identity CompanyTM has announced the commercial release of its new age-estimation technology using deep-learning algorithms.
Andrew Gowasack, Trust Stamp’s President, commented, “Understanding the age of online users is critical not only to ensuring that services and content appropriate for mature audiences are not accessed by minors but also ensuring that services that are expressly designed to allow young people to interact are not infiltrated by adult users. This is increasingly being recognized by legislative initiatives, and in some cases, algorithmic-based age estimation is expressly being authorized. As with any product of this type, our technology cannot provide an exact age for a user but does provide a confidence level as to an age range allowing platform operators to focus document-based age verification on a subset of their users.”

Andrew Gowasack went on to say, “We recently participated in a bake-off against an industry leader in the age verification field and based upon the performance of our deep-learning technology in that test, we are now negotiating the first commercial implementation for the technology. We can deliver this technology as a SaaS application through our Orchestration Layer, as an on-prem installation, via an SDK for integration into mobile applications or, potentially, as a stand-alone application that can run on the edge without Internet access. Although our first potential customer is an online platform, the demand extends to offline venues and can remove the need for more intrusive in-person requirements. This is a very substantial and fast-growing market opportunity for us and an excellent compliment to our existing identity authentication services.”                                         


Trust Stamp                                                  

Andrew Gowasack, President: 


About Trust Stamp

Trust Stamp the Privacy-First Identity CompanyTM, is a global provider of AI-powered identity services for use in multiple sectors, including banking and finance, regulatory compliance, government, real estate, communications, and humanitarian services. Its technology empowers organizations with advanced biometric identity solutions that reduce fraud, protect personal data privacy, increase operational efficiency, and reach a broader base of users worldwide through its unique data transformation and comparison capabilities.

Located across North America, Europe, Asia, and Africa, Trust Stamp trades on the Nasdaq Capital Market (Nasdaq: IDAI). The company was founded in 2016 by Gareth Genner and Andrew Gowasack.

Safe Harbor Statement: Caution Concerning Forward-Looking Remarks 

All statements in this release that are not based on historical fact are “forward-looking statements” including within the meaning of the Private Securities Litigation Reform Act of 1995 and the provisions of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. The information in this announcement may contain forward-looking statements and information related to, among other things, the company, its business plan and strategy, and its industry. These statements reflect management’s current views with respect to future events-based information currently available and are subject to risks and uncertainties that could cause the company’s actual results to differ materially from those contained in the forward-looking statements. Investors are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date on which they are made. The company does not undertake any obligation to revise or update these forward-looking statements to reflect events or circumstances after such date or to reflect the occurrence of unanticipated events.