June Ultra Growth Newsletter Part I : Amazing News Releases for Verses AI + Nasdaq Uplist Now Imminent

Hey Reader,

Our AI Data Center "Tech Stack" portfolio, which we updated in early May, is up over 37% in aggregate in just the last 45 days--but Verses AI looks to beat that return with its upcoming Nasdaq uplisting, PLUS the rollout of its amazing, groundbreaking Inferential AI platform, Genius AI.

Here is the story behind the VRSSF 50 %+ move off of the recent $3.50 low and our new $6.50 BUY UNDER-and $35 late 2025 price target advisory! 
 

Verses AI IMMINENT Uplist to Nasdaq

LOL, you may have noticed some stock movement news happening for Verses AI this week—and really, for the last month.

Why the big move? We have received intelligence from multiple sources that the $200M preferred convertible stock investment from the UAE’s Analog AI operation, of course, came with the stipulation of uplisting to a Nasdaq stock listing. In emerging tech companies—especially with Verses AI and their new extraordinary Genius inferential AI platform technology—1) first you get the Nasdaq listing and 2) THEN you get the $200 million (or less—Analog can split their funding into multiple tranches—but valuation of post money Verses shares has to be $2 billion or higher!).

So, FYI—to uplist to Nasdaq, a stock must trade at or above $5 to be uplisted from OTC. It appeared that a Nasdaq uplisting would happen for Verses in late March, with the US OTC-listed shares trading over the $5 minimum.

Then “Liberation Day” happened, and boom—20%+ pullback.

But between early April and mid-June, Verses AI showed the AI world that:

1) IN a world where the global AI revolution has moved on FROM LLM GPT models to
2) TO AI Inference capabilities enabled by existing LLM data that is now the NEXT LEG of the global AI Revolution
3) The building of $trillions on so-called “Sovereign Data Centers” enabling real-time inferential AI are now the Strategic Nuclear Arms race of the 2030s –and the economies and governments of the modern world KNOW THIS, and know they can’t depend on AI Data Centers NOT located in their sovereign lands
4) The world is SOON going to know that Verses AI Genius AI Agentic inferencing platform is MILES ahead of last-generation static LLMs 
5) Genius Inferential Agentic “Agents” are delivering TODAY what the other AI software companies promise they will provide in a few years, while
6)  Genius is delivering real-time inferential insights and decision-making data to their PAYING customers TODAY!

So, What Exactly IS Inferential AI?

AI inferencing is simply the process of using a trained machine learning model, aka LLMs, to make highly accurate predictions or conclusions based on the latest up-to-the-minute data inputted 24/7/365, ie, THIS MINUTE!

The next phase of the AI revolution occurs after the model has been trained on a large language model (LLM) dataset. Then with Verse AI's Genius platform, new data is continuously added 24/7/365, with inference applied to new real-world data to generate high-value, real-time conclusions, also known as immediately actionable (and hopefully profitable) decisions and insights.

Here is a simple analogy: At Transformity Equity Research, we are getting ready to work with Verses AI’s Genius platform in the next few weeks. We have identified the fastest-growing secular transformations in the AI Data Center/Edge Network tech stack, as well as in the AI applications world and the Data Center power infrastructure players. We have loaded every publicly listed AI tech stack, data center power infrastructure, and Agentic software company into our Genius database. That database is connected to the FactSet database, which tracks data published about our AI tech stack, power infrastructure, and agentic software public companies 24/7/365.

When we add the final layer of stock picking—positive price momentum—we will have YOUR TR Ultra Growth portfolio updated 24/7/365 with a rating number system—ie, the TR Ultra Growth stocks with the highest ratings are the ones to make sure you own!

But how does Verses AI's Genius AI inference work?

Key Aspects of AI Inferencing:

  1. Model Deployment:

    • After training, the model is deployed into a production environment where it can process incoming data in real time or batch mode.

  2. Input Data:

    • Inferencing requires input data that the model has not seen during training. This data is processed to extract features relevant for making predictions.

  3. Prediction:

    • The model applies its learned parameters to the input data to produce an output. This could be a classification (e.g., identifying an image as a cat or dog), a regression (e.g., predicting stock prices), or any other type of decision-making.

  4. Performance Metrics:

    • The effectiveness of inferencing is often evaluated using metrics like accuracy, precision, recall, and F1 score, depending on the specific application.

  5. Use Cases:

    • Inferencing is used in various applications, such as:

      • Image Recognition: Identifying objects in images.

      • Natural Language Processing: Understanding and generating human language.

      • Recommendation Systems: Suggesting products or content (or STOCKS/ETFs!) to users based on their preferences and risk tolerance.

  6. Real-Time vs. Batch Inferencing:

    • Real-Time Inferencing: Predictions are made immediately as data is received (e.g., fraud detection in financial transactions or STOCK recommendations!).

    • Batch Inferencing: Predictions are made on a large set of data at once (e.g., analyzing customer data for marketing insights).

News Flash: Major Enterprise AI Integrator Becomes the FIRST Enterprise Scale Genius System Integrator!

Agreement to accelerate global enterprise adoption of Genius through sales, training, certification, and rapid deployments

June 16, 2025 - VERSES AI Inc. (CBOE: VERS) (OTCQB: VRSSF) ("VERSES'' or the "Company”), a cognitive computing company specializing in next-generation agentic software systems, has selected Soothsayer Analytics (“Soothsayer”) as the first Certified Genius reseller and implementation channel partner for global enterprises.

Soothsayer is an AI consulting & training, and certification firm trusted by many Fortune 1000 and Global 2000 clients globally, such as the Ford Motor Company, GEA, Dow Chemical Company, AD Ports and Dun & Bradstreet.

Enterprise AI spending is projected to rise from US$58 billion in 2025 to US$474 billion by 2030—a 52% compound annual growth rate (CAGR)—as companies pursue automation, cost savings, and predictive insights to maintain a competitive advantage. This channel partnership aims to meet that demand by pairing Genius with its enterprise intelligence and Soothsayers' expertise to drive rapid global adoption through sales, deployment, and training.

This channel partnership enables Soothsayer to:

  • Resell Genius through a joint go-to-market program

  • Deliver Genius training and certification for enterprise teams and executives

  • Provide end-to-end onboarding and implementation services to new and existing VERSES and Soothsayer clients.

”We believe that Genius delivers many of the missing AI capabilities enterprises require. At the same time, Soothsayer ensures those capabilities are deployed swiftly and effectively,” said Gabriel Rene, Founder & CEO of VERSES.

As part of the agreement, Soothsayer Analytics has also agreed to become a Genius Enterprise customer.

“Appointing Soothsayer as our first Certified Genius Reseller is a pivotal step in scaling our go-to-market strategy,” continued Gabriel René, Founder & CEO of VERSES. “We believe that their proven sales and integration expertise to Fortune 500 and other companies, will enable enterprises worldwide to unlock Genius’s capabilities more quickly, accelerating adoption and driving revenue growth.”

Gaurav Agrawal, the Founder and CEO of Soothsayer, said “Our Fortune 500 clients want AI that speaks their language, respects their rules, and delivers results they can trust. Off-the-shelf platforms rarely meet those standards. We believe that Genius lets us generate reliable, domain-specific predictions in weeks instead of months, and our team provides the know-how to take those models live. Becoming the first Certified Genius Reseller allows us to bring VERSES’ next-generation capability to enterprises worldwide.”

Key Point: There will, of course, be MANY MORE Genius AI Enterprise Integrators will join the Genius Platform!

Dr. KARL Frisson's CORNER--On Verses AI's Axiom 

From a research and development perspective, this has been a very eventful month. I will take this opportunity to focus on AXIOM, what it brings to the table and the crosscutting themes that underwrite Genius and the IEEE standards for the Spatial Web.

AXIOM is the dénouement of an impressive amount of work by the R&D team. It realises many of the core principles to which the VERSES approach to cognitive computing is committed. In fact, it isn't easy to pick out one of the many advances that could be highlighted. This newsletter is a nice opportunity to briefly rehearse a couple of these advances, which can be best seen in contrast to conventional machine learning approaches.

Conventionally, in machine learning, one is supplied with a neural network that has a preconfigured and overly expressive architecture, such as a foundation model or a deep neural network. However, this architecture—in virtue of its generality—can never be optimal for any specialised application, because the architecture has to reflect the cause-effect structure in the way that data or content is generated. 

This structure ‘carves nature at its joints’, which necessarily requires a modular or factorial architecture. AXIOM takes a fundamentally different approach:
Instead of starting from an oversized unstructured network, AXIOM self-assembles and grows itself; adding to the structure whenever some new data cannot be explained or generated.

One thing that impressed me was that the team was able to implement one of the principles of active inference; namely, to choose actions—or select data—that enhances learning. This is a key advance that is missing from conventional approaches.

It means that AXIOM can SIGNIFICANTLY outperform standard machine learning with a marked improvement in sample efficiency and an efficient and compact network structure (with a fraction of the number of parameters). In short, AXIOM presents a completely new approach to cognitive computing, in which core priors equip neural networks with the capacity to develop and learn their own structure, much like the human brain.

One may ask how this relates to Genius or, indeed, the IEEE standards. The relationship is quite fundamental. Precisely the same principles that are installed in the design and message passing in AXIOM are being instantiated in Genius. Furthermore, the IEEE standards—which were accepted this month—have been carefully crafted to support the same kind of message passing and belief propagation upon which AXIOM (and Genius) rests.

Key Point: All this means that one should be able to recapitulate the efficiency, autodidact and Bayes optimal functionality showcased by AXIOM on the spatial web. Mathematically, this rests on the formalism of (variational) message passing on a particular kind of network called a ‘factor graph’ that can be deployed in a scale-free fashion.

Intuitively, this means that one should be able to realise intelligent transactions and federated inference both within a synthetic brain (e.g., Genius) and between synthetic (and real) brains (e.g., under the IEEE standards).

Professor Karl Friston
Chief Scientist, VERSES

The LATEST Verses AI NEWS
 

Final Point: Feel FREE to Share This Update with Family and Friends

I have been a GROWTH equity research analyst since 1998--and I know how just ONE stock can make a real difference. I fondly remember my buy recommendation of Microstrategy  around $15-$18, which then rose to $350 by March 2000, and how many subscribers retired on those profits.

With Verse AI, UAE's Analog has the right to buy $200 million of VRSSF stock at a $2.22 billion post-money valuation. That is a 10X return from here — but remember, large private AI platforms like OpenAI now have valuations of $14 to $200 billion--with Scale AI just sold to Meta for $14 billion with just $870 million in revenue in 2024--15X revenue  valuation. 
 

Here are some of the largest private AI platform companies similar to Verse AI but without INFERENCE capabilites that are valued over $25-$100  billion or more 

1. Anthropic

  • Overview: Founded by former OpenAI employees, Anthropic focuses on building safe and reliable AI systems.

  • Notable Product: Claude, an AI assistant designed to be more interpretable and aligned with user intentions.

2. Cohere

  • Overview: Specializes in natural language processing (NLP) and offers tools for developers to build AI applications.

  • Notable Product: Language models for text generation and understanding.

3. Stability AI

  • Overview: Known for its work in generative AI, especially in the field of image synthesis.

  • Notable Product: Stable Diffusion, a popular model for generating images from text prompts.

4. Hugging Face

  • Overview: A platform that provides a wide range of pre-trained machine learning models and tools for NLP and other tasks.

  • Notable Product: Transformers library, widely used for various AI applications.

5. DeepMind

  • Overview: A subsidiary of Alphabet Inc. (Google's parent company), DeepMind is known for its advancements in deep learning and reinforcement learning.

  • Notable Product: AlphaGo, which defeated a world champion Go player.

6. Scale AI

  • Overview: Provides data labeling and management services to help companies train their AI models.

  • Notable Product: Platform for automating data annotation processes.

7. UiPath

  • Overview: Focuses on robotic process automation (RPA) to help businesses automate repetitive tasks.

  • Notable Product: UiPath Automation Cloud, which integrates AI for intelligent automation solutions.

8. Databricks

  • Overview: Provides a unified analytics platform that incorporates AI and machine learning capabilities.

  • Notable Product: Databricks Lakehouse, a platform for managing large-scale data and AI workloads.

Note : If someone forwarded this email to you, come join us at https://www.transformityresearch.com/tr-ultra-growth to get ALL the biggest AI tech and software stocks! 

PS: Our renewal system is working perfectly now--but if you are still having a problem getting in, EMAIL Gary The Tech Support Guy at gary.hlusko@gridtech.io  
 

Toby

Tobin Smith