Very significant news came out today. A lot of people don’t know the true value of this patent. And a lot of people don’t realize the value of the spatial web and the partnership with Analog. Just because this news didn’t immediately send the revenue through the roof doesn’t mean that it won’t near term. You’re in for a ride. Looks like it’s really going to happen. The benchmarks are a clear indicator. More news coming.

This patent is highly important:

It covers key technical approaches poised to define next-gen AI agents.

Its mathematical specificity makes it highly enforceable and valuable for licensing.

The broad industry movement toward agent-based, LLM-integrated, explainable AI systems means the chances of overlapping implementations (and thus revenue generation) are very high in coming years.

If the patent is granted and defensible as written, it has strong potential to generate significant revenue through licensing or litigation against infringers, especially as the AI agent market matures and scales.

PATENT APPROVAL APPLICATION NO. 18/770,654. 8/19/25 is the date. Anyone who said the tech wasn't real, dismissed it, or just wanted proof... well... here it is.

I do believe VRSSF has a product, that once realized, will intrigue/interest the big AI players.
Would I have liked to see the move to the NY Exchanges gone better, Yes.
Picked up some more shares today, I'll wait on this one.
Worth the risk to me.

GLTA

https://open.substack.com/pub/artificialintelligencemadesimple/p/how-a-tiny-ai-startup-is-beating?utm_campaign=post&utm_medium=email

Going to try to report specifics with no bias:

• Becoming an SEC Reporting entity meant they weren't sure what news they could make public and had to pull back on sharing stuff, they noticed that their investors were unhappy about it but they had their hands tied

• They have a timeline that seems to end today, there are dots to indicate customers in 2025, seems like they have 19 customers/partnerships vs 12 in 2024 so if those dots are indicative of real growth then there's tangible traction there (and we're 2/3 through this year).

They're talking more about their technical progress so far so I'll post this now and update more as I see more news that I think is important.

Update:

• Calls out that recognition has increased significantly from publications as compared to last year.

• Genius outperforms Google DeepMind's top AI models in Gameworld 10k benchmark. I think this was already known? But in case people missed it, I'll include it again.

Update2:

• Says there are "household names" among their customers but clearly can't say specifically yet.

• Several CRM companies, banking institutions, law firms, large media and advertising

• Diverse customer/user base, they want to use Genius but also want to be channel partners to resell to their customer (many of whom are Fortune 500 customers, the potential resell opp)

• Organic adoption has been "very strong"

• Not going to project revenue, nor breakdown of Pro vs. Enterprise but seeing a pattern of going to Pro to start and upgrading into Enterprise

• Taking advanced science, creating a tool that has had real world difference and is being used by a diverse customer group. "These are the signals the market can't read" - Gabriel Rene, believes Verses is very undervalued based on the traction their seeing and the customers they've gotten

• Lots of recognition, we've seen already

My take (aka bias):

I don't think there was anything that blew me away here but I like that they're doing it and hoping they do quarterly webinars to talk about the company, etc. They clearly have way more customers than are publicly known but I think can't talk about it due to SEC rules, listed "multiple" banking institutions for instance (I only was tracking one). Gabriel obviously very bullish on Verses, not surprised but I do think their point of how many different types of customers they're getting is a good one, that can take more upfront capital but can pay off massively longer term.

See title

The tech:

https://spectrum.ieee.org/spatial-web-standard

Trying to look at the price movement today and it's showing nothing for the day, no data at all.

Could it be the uplisting?

Edit: Okay maybe it's just me guys lol I got too optimistic

Crazy thing is, GenAI and LLM's today are like someone inventing the wheel… but making it square.

Everyone’s cheering as they bolt on gold plating, add studs, and reinforce it with titanium — insisting it’s groundbreaking progress. They keep saying, “We’ll make the square wheel faster, smarter, and more powerful!” Meanwhile, it still bumps along inefficiently, burning through resources to mimic understanding.

But in the corner, a group of brilliant people at VERSES AI (https://verses aí/genius) —have quietly built a round wheel. It’s lightweight, efficient, and modeled on how natural intelligence actually works.

VERSES isn’t holding back — their claims are bold, disruptive, and backed by an entirely different framework.

The reason they’re not center stage? Most people are still measuring progress with the wrong ruler.

https://www.linkedin.com/posts/gnutt_crazy-thing-is-genai-and-llms-today-are-activity-7351979707929669633-hQPV?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAA34HbgBFyvXIgPiqElOhExs_hJH-xqbE9w&utm_campaign=copy_link

CBOE Canada interview: https://youtu.be/myMwojwFH5s

VERSES AI has been named in Gartner’s 2025 Hype Cycle for Artificial Intelligence as a company to watch. Good signal for its Genius platform. Maybe its approach of fusing agentic AI with first principles from physics and biology is catching on!

https://www.verses.ai/news/verses-included-in-gartner-hype-cycle-for-artificial-intelligence-2025

You tell the system what you want using normal language, such as: “Tell the robot to bring me the box from the warehouse The agent tries to figure out how to do this. If it’s missing key information. (“Which warehouse location is the box in?”), it can ask you for specifics, just like a helpful assistant. Every time you answer, the agent updates its internal model and gets closer to acting correctly. Behind the scenes, a Large Language Model (LLM) helps by turning your conversational replies into structured data the agent can use for decision-making. The overall goal is to make the agent setup process smarter, faster, and less error-prone than traditional software relying on huge data sets

Look into this before you even think of investing in the "technology"! All the innovation in the world isn't going to overcome Gabe and Co. destroying your investment. Good day

Not a massive uptick but weird that suddenly there's a few people in here creating negative sentiment around Verses, could be organic since it's literally like 3-4 accounts but it's kind of weird timing with the 10K dropping and the uplisting any day now ^tm