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

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Trust Stamp (IDAI) announces the commercial release of its new AI-Powered Age-Estimation technology using deep-learning algorithms. The technology aims to help online and offline enterprises estimate the age range of users based on facial images. The company is in negotiations for its first commercial implementation after outperforming an industry leader in a recent test.
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The introduction of AI-powered age-estimation technology by Trust Stamp represents a significant advancement in the field of digital identity verification. The market for such technologies is expanding due to increasing regulatory pressures and the need for enhanced user verification processes. With a focus on privacy and the ability to operate both online and offline, Trust Stamp's solution addresses a key market requirement. The technology's flexibility in deployment, through SaaS, on-prem installations, SDKs, or stand-alone applications, is likely to appeal to a broad range of potential clients across various sectors.

From a market perspective, the ability to estimate age ranges with a level of confidence could reduce the operational costs associated with document-based verifications by narrowing the focus to a subset of users. This efficiency could translate to competitive advantages for early adopters, potentially leading to increased market share and revenue growth for Trust Stamp. The mention of negotiations for the first commercial implementation post a successful 'bake-off' indicates a strong market interest and potential for rapid adoption, which could impact Trust Stamp's stock performance positively if the technology gains traction.

Trust Stamp's age-estimation technology comes at a time when legislative initiatives are increasingly mandating stricter age verification measures online. With laws like the Children's Online Privacy Protection Act (COPPA) in the United States and the General Data Protection Regulation (GDPR) in the European Union, there is a heightened focus on protecting minors in digital spaces. The technology's alignment with legislative trends suggests that Trust Stamp is positioning itself favorably within the regulatory environment.

Furthermore, the mention of algorithmic-based age estimation being 'expressly authorized' in some legislative initiatives indicates a potential for this technology to become a standard practice, which could lead to widespread adoption and create a substantial market for Trust Stamp. However, it's crucial to monitor the evolving legal landscape as it could also introduce compliance costs or liabilities associated with the accuracy and privacy implications of such technologies.

Trust Stamp's use of deep-learning algorithms for age estimation is indicative of the technological advancements within the AI sector. Deep learning is particularly well-suited for pattern recognition tasks such as facial analysis, which is central to age estimation. The success in a comparative test against an industry leader highlights the robustness of Trust Stamp's AI algorithms.

However, it's important to consider the challenges associated with AI-based age estimation, such as potential biases in the training data or the ethical implications of facial recognition technology. Trust Stamp's emphasis on privacy-first solutions may mitigate some of these concerns, but ongoing technological scrutiny and refinement will be necessary to maintain the efficacy and social acceptability of the solution. The ability to operate without Internet access, potentially on edge devices, is a noteworthy feature that could expand the technology's applicability to areas with limited connectivity, further widening its market potential.

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.”                                         

Enquiries:

Trust Stamp                                                  

Andrew Gowasack, President:           agowasack@truststamp.ai

Investors:                                           shareholders@truststamp.ai

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.


FAQ

What technology did Trust Stamp release?

Trust Stamp released its new AI-Powered Age-Estimation technology using deep-learning algorithms.

How does the technology help enterprises?

The technology allows enterprises to estimate the age range of users based on facial images, both online and offline.

What is the ticker symbol for Trust Stamp?

The ticker symbol for Trust Stamp is IDAI.

Who is the President of Trust Stamp?

Andrew Gowasack is the President of Trust Stamp.

What are the potential delivery methods for the technology?

The technology can be delivered as a SaaS application, on-prem installation, via an SDK for mobile app integration, or as a stand-alone application.

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