Trust Stamp delivers a Custom-LLM model for an international telecommunications company and announces a shareholder call to unveil the Company’s strategic initiative to build and deliver Sovereign-AI implementations.

Trust Stamp (NASDAQ:IDAI) delivered its first compliance-related Sovereign-LLM project for an international telecommunications company, running entirely on the client’s own servers with no external access or third-party dependence.

Rhea-AI Summary

Trust Stamp (NASDAQ:IDAI) delivered its first compliance-related Sovereign-LLM project for an international telecommunications company, running entirely on the client’s own servers with no external access or third-party dependence.

The company plans a shareholder call on July 17, 2026 to unveil its broader Sovereign-AI strategy, focused on EU and African markets.

Positive

• First compliance-related Sovereign-LLM delivered to an international telecommunications client
• On-premises AI model with no external access or third-party operational dependence
• Design removes data poisoning, legal, and privacy concerns from sharing sensitive data externally
• Ongoing costs limited mainly to incremental power versus uncertain frontier-AI usage costs
• Strategic expansion into Sovereign-AI and LLM solutions alongside identity authentication

Negative

• None.

Argus Jul 1 session

+2.02% close to close Open Argus

Details

News Market Reaction – IDAI

On Jul 1, the day this news came out, IDAI closed 2.02% above the previous close.

Data tracked by StockTitan Argus for the Jul 1 session.

Key Figures

AI microservices track record: 10 years Execution period: four months Market spend lower bound: $15B +2 more

AI microservices track record

10 years

Period the company has delivered proprietary AI-powered microservices

Execution period

four months

Timeframe over which the Sovereign-LLM plan has been executed

Market spend lower bound

$15B

Predicted annual Sovereign-LLM deployment expenditure in EU and Africa by 2030

Market spend upper bound

$30B

Upper estimate for annual Sovereign-LLM deployment spend in EU and Africa by 2030

Shareholder call date

July 17

Scheduled date for call to discuss Sovereign-AI strategic initiative

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Key Terms

sovereign-llm, sovereignty, data poisoning, hyperscale-ai, +1 more

5 terms

sovereign-llm technical

"I am delighted to announce that yesterday we delivered our first compliance related Sovereign-LLM project for an international telecommunications company."

A sovereign LLM is a large language model that is owned, hosted, or strictly governed by a national authority to keep data, control and decision-making within that country. Think of it as a locally run, secure version of a public AI service that aims to protect sensitive information and comply with national laws. Investors care because it affects market access, regulatory risk, compliance costs and which AI providers governments or companies must use.

sovereignty technical

"“Sovereignty” refers to building and running AI systems with independence regarding data, technology, operations, and legal structures"

Sovereignty is a country's legal and political authority to set and enforce rules within its borders — including laws, taxes, trade policies and regulation of businesses. It matters to investors because sovereign decisions such as tariffs, nationalization, licensing, currency controls or sanctions can change a company’s costs, market access and risk profile, much like a referee changing the rules mid-game can alter which players succeed.

data poisoning technical

"Because the model runs on-premises and is insulated from the Internet, we eliminated client concerns about data poisoning as well as legal and privacy concerns"

Data poisoning is the deliberate insertion or manipulation of training or input data to cause a machine learning system to make wrong, biased, or harmful decisions. For investors, it matters because contaminated data can quietly undermine product reliability, trigger regulatory or legal problems, damage reputation, and lead to financial losses—much like a tainted ingredient that ruins an otherwise sound recipe and the business that sells it.

hyperscale-ai technical

"concerns from sharing multi-national commercial and personal data with hyperscale-AI companies."

Hyperscale-AI describes computing systems and the massive data-center networks built specifically to train and run very large artificial-intelligence models at enormous scale. Think of it as a supercharged factory and highway combined: it moves huge amounts of data and performs trillions of calculations quickly and reliably. For investors, hyperscale-AI matters because it requires heavy upfront capital and specialized suppliers but can create steady revenue and cost advantages for firms that control the infrastructure and software ecosystem.

frontier-ai technical

"future costs of utilizing a frontier-AI company, which concerns are already resulting in commercial users scaling back usage"

Frontier AI describes the most advanced, cutting-edge artificial intelligence systems that push the limits of current capability — large, general-purpose models or new architectures that can perform a wide range of tasks with little specific training. Investors care because these systems can create big new markets, rapidly change competitive positions, and require large upfront costs and regulatory oversight; like a breakthrough engine, they can power fast growth but also carry high technical, cost and policy risk.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Atlanta, GA, July 01, 2026 (GLOBE NEWSWIRE) -- Gareth N. Genner, Chief Executive Officer of the Company commented: “For ten-years we have delivered proprietary AI-powered microservices in the course of which we have developed significant intellectual property and expertise in deploying custom-AI solutions not just on-premises and in the cloud, but also on-the edge for consumer devices. 

Our acquisition of Lexverify In February of this year, reflected our plan to develop a broad range of LLM-based solutions in parallel to our identity authentication focus. We have successfully executed on that plan over the last four months and I am delighted to announce that yesterday we delivered our first compliance related Sovereign-LLM project for an international telecommunications company. “Sovereignty” refers to building and running AI systems with independence regarding data, technology, operations, and legal structures and in this case the model runs on our client’s own servers, with no external access and no reliance upon any third party for future operations. 

Because the model runs on-premises and is insulated from the Internet, we eliminated client concerns about data poisoning as well as legal and privacy concerns from sharing multi-national commercial and personal data with hyperscale-AI companies. As an additional benefit, the only ongoing costs are very modest incremental power costs as opposed to the substantial uncertainties attached to future costs of utilizing a frontier-AI company, which concerns are already resulting in commercial users scaling back usage or moving from frontier models to smaller, more cost effective models. 

This is a very important milestone for Trust Stamp, but it is just the tip-of-the-iceberg. Sovereign-LLM deployments provide not only data and technology sovereignty but also energy-efficient models focused on the precise needs of the client, without the capital, energy and water demands of hyperscale AI Companies.

We are focused on EU and African markets where accelerating demand for data and technology sovereignty provide immediate opportunities for Sovereign-LLM deployments. Using a conservative estimate, annual expenditure for such deployments in those markets is predicted to grow to as much as $15B to $30B by 2030. 

On July 17th I will be hosting a shareholder call to unveil the scale and the exciting significance of these developments. The time and access information will be published closer to that event.”

Inquiries:

Trust Stamp                                                   Email: Shareholders@truststamp.ai

About Trust Stamp

Trust Stamp is a global provider of AI-powered services for use in multiple sectors including banking and finance, regulatory compliance, government, healthcare, real estate, communications, and humanitarian services. Its technology empowers organizations via advanced solutions that reduce fraud, tokenize and secure data, securely authenticate users while protecting personal privacy, reduce friction in digital transactions, and increase operational efficiency, enabling customers to accelerate secure financial inclusion and reach and serve a broader base of users worldwide.

With team members from twenty-two nationalities in eight countries across North America, Europe, Asia, and Africa, Trust Stamp trades on the Nasdaq Capital Market (Nasdaq: IDAI).

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

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did Trust Stamp (IDAI) announce about its first Sovereign-LLM deployment on July 1, 2026?

Trust Stamp announced delivery of its first compliance-related Sovereign-LLM project for an international telecommunications client. According to Trust Stamp, the custom model runs fully on the client’s own servers, with no external access or reliance on third parties for ongoing operations.

How does Trust Stamp’s Sovereign-LLM model address data privacy and security concerns for IDAI customers?

The Sovereign-LLM runs on-premises and is insulated from the internet, removing external data access. According to Trust Stamp, this architecture mitigates data poisoning risks and reduces legal and privacy concerns from sharing multinational commercial and personal data with hyperscale AI providers.

What cost advantages does Trust Stamp (IDAI) claim for its Sovereign-LLM solution?

Trust Stamp states that the main ongoing cost for its Sovereign-LLM is modest incremental power usage. According to Trust Stamp, this avoids the substantial uncertainties associated with future usage-based fees from frontier-AI companies, which it notes are causing some commercial users to scale back usage.

Which markets is Trust Stamp (IDAI) targeting for Sovereign-AI and Sovereign-LLM deployments?

Trust Stamp is focusing on EU and African markets for Sovereign-LLM deployments. According to Trust Stamp, demand for data and technology sovereignty is accelerating in these regions, creating immediate opportunities for energy-efficient, client-focused AI models operated on customers’ own infrastructure.

What market size does Trust Stamp (IDAI) reference for Sovereign-LLM spending by 2030?

Trust Stamp cites a conservative estimate that annual expenditure on Sovereign-LLM deployments in EU and African markets could reach $15–$30 billion by 2030. According to Trust Stamp, this projected growth underpins its strategic focus on sovereignty-centric AI solutions.

When is the Trust Stamp (IDAI) shareholder call about its Sovereign-AI strategy scheduled?

Trust Stamp plans to hold a shareholder call on July 17, 2026 to discuss the scale and significance of its Sovereign-AI developments. According to Trust Stamp, specific time and access details will be published closer to the event for interested investors.