IP Strategy Issues Statement on ZenO’s Public Beta Launch, Showcasing Real-World AI Use Cases Built on Story

Rhea-AI Summary

IP Strategy (Nasdaq: IPST) on Feb 11, 2026 recognized ZenO’s public beta, a Story-native platform for collecting rights-cleared, first-person audio/video/image data to train robotics and embodied AI.

ZenO uses smart glasses and phones, anonymizes and structures data, and writes provenance, consent, and licensing metadata onto Story for programmable IP and automated revenue distribution.

News Market Reaction

-1.43%

3 alerts

-1.43% News Effect

+8.8% Peak Tracked

-16.8% Trough Tracked

-$132K Valuation Impact

$9M Market Cap

0.3x Rel. Volume

On the day this news was published, IPST declined 1.43%, reflecting a mild negative market reaction. Argus tracked a peak move of +8.8% during that session. Argus tracked a trough of -16.8% from its starting point during tracking. Our momentum scanner triggered 3 alerts that day, indicating moderate trading interest and price volatility. This price movement removed approximately $132K from the company's valuation, bringing the market cap to $9M at that time.

Data tracked by StockTitan Argus on the day of publication.

Market Reality Check

Price: $0.7500 Vol: Volume 60060 is 0.41x the...

low vol

$0.7500 Last Close

Volume Volume 60060 is 0.41x the 20-day average of 147243, indicating muted trading interest pre-announcement. low

Technical Shares at 0.8522 were trading below the 200-day MA at 7.63, reflecting a prolonged downtrend before this AI update.

Peers on Argus

No peers in the stated Beverages sector showed momentum flags, and no same-day p...

No peers in the stated Beverages sector showed momentum flags, and no same-day peer headlines were logged, pointing to a company-specific move rather than a sector rotation.

Previous AI Reports

1 past event · Latest: Dec 17 (Positive)

Same Type Pattern 1 events

Date	Event	Sentiment	Move	Catalyst
Dec 17	AI data initiative	Positive	+0.0%	Highlighted Poseidon as flagship decentralized AI audio data project on Story blockchain.

Pattern Detected

Prior AI-themed news produced a flat price reaction despite showcasing significant ecosystem progress.

Recent Company History

Over recent months, IP Strategy has emphasized Story’s validator economics, staking performance, and AI-native data initiatives. Updates on staking yields, ecosystem validators, and conference participation were followed by mostly negative or flat reactions, even when highlighting treasury strength and growth in AI data projects like Poseidon on Dec 17, 2025. Today’s ZenO announcement extends the same AI and rights-cleared data thesis, reinforcing Story’s role in programmable IP for AI.

Historical Comparison

+0.0% avg move · The prior AI-tagged Poseidon release saw a 0% move on average, so any sizable reaction to ZenO’s lau...

AI

+0.0%

Average Historical Move AI

The prior AI-tagged Poseidon release saw a 0% move on average, so any sizable reaction to ZenO’s launch would mark a sharper response than past AI ecosystem news.

AI-tagged news progressed from spotlighting Poseidon’s large rights-cleared audio dataset to ZenO’s first-person physical AI data capture, broadening Story’s AI data coverage.

Market Pulse Summary

This announcement highlights ZenO’s public beta as another AI data initiative built on Story, extend...

Analysis

This announcement highlights ZenO’s public beta as another AI data initiative built on Story, extending IP Strategy’s focus on rights-cleared, first-person datasets for robotics and embodied AI. It reinforces the thesis that programmable data rights and on-chain licensing can underpin new economic models. Investors may track how contributor participation, enterprise adoption, and additional Story-native applications progress relative to prior efforts like Poseidon and the company’s validator-driven business model.

Key Terms

physical ai, embodied ai systems, layer-1 blockchain, programmable licensing, +4 more

8 terms

physical ai technical

"ZenO, a physical AI data collection platform focused on capturing real-world,"

Physical AI combines artificial intelligence with physical devices or environments, enabling machines to interact with and adapt to the real world in a human-like way. It matters to investors because it can lead to smarter robots, autonomous vehicles, or advanced sensors that improve efficiency and open new markets, potentially creating significant business opportunities and competitive advantages.

embodied ai systems technical

"human behavior for training robotics and embodied AI systems utilizing Story’s"

Embodied AI systems are machines or devices that combine artificial intelligence with a physical body—such as robots, drones, or smart appliances—that sense their surroundings and take actions in the real world. They matter to investors because their value depends not just on software but on manufacturing, durability, safety rules and installation or maintenance costs, so they can create steady revenue streams or add regulatory and supply-chain risks, much like a smartphone is a bundled product rather than a standalone app.

layer-1 blockchain technical

"embodied AI systems utilizing Story’s Layer-1 blockchain technology as its core"

A layer-1 blockchain is the base network that records and finalizes transactions and enforces rules for a digital ledger, acting like the operating system or road network for all activity built on top of it. It matters to investors because its speed, security, transaction costs and ability to host applications directly affect user adoption and the value of tokens or services that rely on that network; stronger, more scalable base layers tend to attract more activity and investment.

programmable licensing financial

"provenance, programmable licensing, and automated revenue distribution for AI"

Programmable licensing is a digital license that carries automated rules encoded in software so access, use, payments, or restrictions happen without manual oversight. Think of it like a vending machine for rights: once conditions are met, the license grants use or triggers payment, and can change permissions over time. For investors, it can create predictable, scalable revenue streams, lower enforcement costs, and enable new business models such as pay-per-use or automated royalties.

on-chain technical

"rights-cleared, on-chain, verifiable data becomes unavoidable. ZenO is an early"

On-chain describes actions or data that are recorded directly on a blockchain, a public digital ledger that creates a permanent, time-stamped record of transactions. For investors, on-chain activity provides verifiable evidence of transfers, ownership changes or automated program actions (like contract-driven payments); seeing these entries is like checking a bank statement and helps assess liquidity, settlement finality, fees, and transparency when judging risk and market behavior.

metadata technical

"ZenO’s roadmap includes writing metadata, contributor consent, and licensing"

Metadata is descriptive information about a piece of data—like a label on a file or an index card for a document—that explains what the data is, when it was created, who produced it, and how it was generated. For investors, metadata matters because it helps verify authenticity, track provenance, and make large data sets searchable and comparable, which supports due diligence, regulatory compliance, and more reliable analysis of financial or clinical information.

provenance technical

"enabling transparent provenance, programmable licensing, and automated revenue"

Provenance is the documented history of where an asset, product, dataset or document comes from and how it passed between owners or handlers over time. For investors it matters because clear provenance verifies authenticity, legal ownership, regulatory compliance and supply‑chain integrity—think of it like the complete service and ownership record for a used car that helps you judge value and risk.

intellectual property regulatory

"Story’s vision for programmable intellectual property."

Intellectual property are legal rights that protect creations of the mind—such as inventions, brand names, designs, software, or secret formulas—giving the owner control over who can use, copy or sell them. For investors, IP is like owning a blueprint or recipe: it can generate steady income through exclusive sales or licensing, boost a company’s competitive edge and valuation, and also create costs or risks if rights must be defended or challenged in court.

AI-generated analysis. Not financial advice.

• The launch of ZenO’s public beta underscores growing demand for real-world, rights-cleared data infrastructure built on Story as physical AI adoption accelerates
• Platform lets people collect real-world data for AI using smart glasses or their mobile phones and get compensated

GIG HARBOR, Wash., Feb. 11, 2026 (GLOBE NEWSWIRE) -- IP Strategy (Nasdaq: IPST) (the “Company”) today issued a statement recognizing the public beta launch of ZenO, a physical AI data collection platform focused on capturing real-world, first-person human behavior for training robotics and embodied AI systems utilizing Story’s Layer-1 blockchain technology as its core infrastructure.

ZenO’s launch reflects continued momentum across the Story ecosystem, as builders increasingly adopt Story to support new categories of intellectual property (“IP”)-native applications at the intersection of AI, data, and programmable rights.

As physical AI systems move from research into real-world deployment, access to high-quality, rights-cleared training data has emerged as a critical bottleneck. Unlike traditional AI models trained on scraped or synthetic data, physical AI requires egocentric, first-person data captured from real environments. ZenO’s platform is designed to address this gap by enabling the scalable collection, anonymization, and structuring of real-world audio, video, and image data.

ZenO is building a platform that allows people to collect real-world data for AI using smart glasses or their mobile phones. Users can capture first-person video, audio, and images during everyday activities, which ZenO then anonymizes, structures, and prepares for use in training physical AI systems such as robots and embodied models. The goal is to create high-quality, rights-cleared data that helps AI systems better understand and operate in real-world environments.

From IP Strategy’s perspective, ZenO represents a new class of Story-native application: one where data itself becomes a programmable, licensable asset from inception, rather than an afterthought.

Alignment With Story’s IP Thesis

ZenO’s roadmap includes writing metadata, contributor consent, and licensing information for user-generated datasets onto Story, enabling transparent provenance, programmable licensing, and automated revenue distribution for AI training data. This approach aligns directly with Story’s core thesis: that IP should be programmable infrastructure for the AI era.

By anchoring data rights at the protocol level, applications like ZenO can support long-term participation from contributors, enterprises, and developers while creating new economic models around AI training data.

ZenO joins a growing set of projects building on Story across IP-native AI and digital media. Together, these applications demonstrate how Story is evolving beyond IP tokenization into a foundational layer for programmable ownership across emerging AI-driven industries.

“ZenO’s beta launch is a strong signal of where the Story ecosystem is headed,” said Dawn Kim, Co-Founder of Zeno. “As AI systems increasingly interact with the physical world, the need for rights-cleared, on-chain, verifiable data becomes unavoidable. ZenO is an early example of how Story enables entirely new data and IP markets to form.”

IP Strategy will continue to support and highlight ecosystem projects that demonstrate real-world adoption, sustainable economic models, and long-term alignment with Story’s vision for programmable intellectual property.

About IP Strategy

IP Strategy (Nasdaq: IPST) is the first Nasdaq-listed company to hold $IP tokens as a primary reserve asset and operate a validator for the Story Protocol. The Company provides public market investors broad exposure to the $80 trillion programmable intellectual property economy in a regulated equity format. IP Strategy’s treasury reserve of $IP tokens provides direct participation in the Story ecosystem, which enables on-chain registration, licensing, and monetization of intellectual property.

Heritage Distilling Holding Company, Inc. is the registered corporate name of IP Strategy.

About Story

Story is the AI-native blockchain network powering the $IP token and making intellectual property programmable, traceable, and monetizable in real time. Backed by $136 million from a16z crypto, Polychain Capital, and Samsung Ventures, Story launched its mainnet in February 2025 and has rapidly become a leading infrastructure for tokenized intellectual property. Story allows creators and enterprises to turn media, data, and AI-generated content into legally enforceable digital assets with embedded rights, enabling automated licensing and new markets for intellectual property across AI and entertainment.

About ZenO

ZenO is a Physical AI data collection platform focused on capturing real-world, first-person (POV) human behavior for training robotics and embodied AI systems. Through smart glasses and smartphones, ZenO enables contributors to upload video and image data generated from everyday activities. ZenO is designed to support scalable, compliant collection of real-world data for next-generation Physical AI systems.

For more information on ZenO, visit https://zen-o.xyz.

Forward-Looking Statements

This press release contains forward-looking statements, including statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These statements may be identified by words such as “aims,” “anticipates,” “believes,” “could,” “estimates,” “expects,” “forecasts,” “goal,” “intends,” “may,” “plans,” “possible,” “potential,” “seeks,” “will,” and variations of these words or similar expressions that are intended to identify forward-looking statements. Any such statements in this press release that are not statements of historical fact may be deemed to be forward-looking statements. These forward-looking statements include, but are not limited to, ZenO’s potential and its ability to enable the scalable collection, anonymization, and structuring of real-world audio, video, and image data; the ability of ZenO’s beta to create high-quality, rights-cleared data that helps AI systems better understand and operate in real-world environments; ZenO’s ability to support long-term participation from contributors, enterprises, and developers; the Company’s ability to support ecosystem projects that demonstrate real-world adoption, sustainable economic models, and long-term alignment with Story’s vision for programmable intellectual property; the need for rights-cleared, on-chain verifiable data; the ability for Story to evolve into a foundational layer for programmable ownership across emerging AI-driven industries; and the Company’s thesis that IP should be programmable infrastructure for the AI era.

Any forward-looking statements in this press release are based on IP Strategy’s current expectations, estimates and projections only as of the date of this release and are subject to a number of risks and uncertainties that could cause actual results to differ materially and adversely from those set forth in or implied by such forward-looking statements. These risks and uncertainties include, but are not limited to, risks related to the volatility of the Company’s common stock and any correlation between the Company’s stock price and the price of $IP tokens or activity or projects within the Story ecosystem, the legal, commercial, regulatory and technical uncertainty regarding digital assets generally, and expectations with respect to future performance and growth. These and other risks concerning IP Strategy’s programs and operations are described in additional detail in its registration statement on Form S-1 initially filed with the Securities and Exchange Commission (“SEC”) on August 26, 2025, as amended by Amendment No. 1 filed on October 16, 2025, Amendment No. 2 filed on December 12, 2025, and Amendment No. 3 filed on December 19, 2025, its latest annual report on Form 10-K, subsequent quarterly reports on Form 10-Q, and any other subsequent filings with the SEC. IP Strategy explicitly disclaims any obligation to update any forward-looking statements except to the extent required by law.

Investor Contact
(800) 595-3550
ir@ipstrategy.co

FAQ

What is ZenO’s public beta announced on Feb 11, 2026 and how does it use Story (IPST)?

ZenO’s public beta is a platform for first-person data collection to train physical AI models. According to the company, it captures egocentric audio, video, and images via smart glasses or phones, anonymizes and structures data, and records provenance, consent, and licensing metadata onto Story.

How will ZenO’s platform affect data rights and licensing for AI training under Story (IPST)?

ZenO aims to make training data a programmable, licensable asset from creation. According to the company, contributor consent, licensing terms, and provenance are written onto Story to enable transparent licensing and automated revenue distribution for dataset contributors and buyers.

What types of AI systems does ZenO target with its first-person dataset collection mentioned by IPST?

ZenO targets robotics and embodied AI systems that require egocentric, real-world training data. According to the company, first-person video, audio, and images from everyday activities help train models to understand and operate in physical environments more effectively.

How do contributors get compensated when they provide data through ZenO’s beta tied to Story (IPST)?

ZenO plans automated revenue distribution for contributors whose metadata and licensing are anchored on Story. According to the company, programmable licensing and on-chain provenance enable transparent payouts tied to dataset licensing and usage.

Does ZenO anonymize personal data and ensure rights-cleared datasets for AI training as described by IPST?

Yes, ZenO’s platform includes anonymization and structuring of captured audio, video, and images for AI use. According to the company, the workflow is designed to produce rights-cleared datasets suitable for training physical AI while recording consent and licensing metadata on Story.

Why does IP Strategy view ZenO’s beta as significant for the Story ecosystem (IPST)?

IP Strategy views ZenO as a proof point for Story-native, IP-centric applications in AI and digital media. According to the company, ZenO demonstrates on-chain provenance, programmable licensing, and new economic models around training data as rights-cleared assets.