SpartyParty

#AI sector with $TAO $FET $TRAC is 💥 Imagine what will happen in two days after #Nvidia's results. AI projects are 👀 by real world companies. @origin_trail is ATM presenting DKG AI solutions on #GS1 conference to #Amazon #Google #Microsoft #Carrefour #Nestle and many others.

Medicines and science, on TRACk. Through the World Federation of Hemophilia (WFH) Humanitarian Aid Program, Sanofi and Sobi alone donated 1 billion international units of factor therapy between 2014 and 2024, treating 22,219 people with inherited bleeding disorders in developing countries. They have committed up to 100 million IUs a year for the next five years. At that scale, every donation has to be accounted for. #AidTrust, co-developed by BSI and Trace Labs, makes the chain visible. With the WFH, it was deployed across more than 25 treatment centres in India. How it works on OriginTrail Decentralized Knowledge Graph (DKG): → Shipping, receiving, disposal and dispensing to patients are recorded as @GS1 EPCIS events → Some events come from existing IT systems; others are captured by warehouse and clinic staff with the AidTrust scanning app → The resulting trail supports product authentication, tracks utilisation and flags diversion or waste For donors and manufacturers, it answers the question behind every donation: did it reach the patient? Trust the source. Case study: bsigroup.com/en-GB/insights-…

Why is trust the key to profitable AI? Boards want returns. Regulators want accountability. Customers want proof. Decentralized Knowledge Graph (DKG) makes trust verifiable, without giving up control of your data. Trust is Capital. Put it to work. 👇

$TRAC : Review📜 What if AI could verify every piece of information it uses before giving you an answer, and what if 40% of everything imported into America was already being tracked by the system that makes that possible? Meet OriginTrail - a Decentralized Knowledge Graph that creates the world's trusted knowledge infrastructure for AI and real-world assets. BSI, SCAN, Swiss Federal Railways, Walmart, and EU governments already use it in production. 500 million fixed supply. Multichain across Ethereum, Polkadot, Gnosis, and Base. The protocol that makes AI honest and supply chains transparent. Let's explore how OriginTrail is building the verifiable Internet for AI. 👇 ⚪ OriginTrail at a Glance OriginTrail is a decentralized ecosystem building trusted knowledge infrastructure for artificial intelligence (AI) and real-world assets, primarily solving problems of data verification and supply chain transparency. Its core technology, the Decentralized Knowledge Graph (DKG), creates structured, verifiable connections between data points without the data leaving the owner's control. The $TRAC token has a fixed supply of 500 million with ~450M in circulation (~90%). TRAC powers all DKG operations: publishing Knowledge Assets, staking on nodes, collateral, and data access. As of May 2026, $TRAC trades around $0.45 with a market cap of approximately $200M. ATH was $3.50 in November 2021. 20% of TRAC's total supply is staked while 13% of circulating supply is locked into node operations. Marketplace Insight: OriginTrail has infrastructure-defining potential for the anticipated $20+ billion AI data verification market by 2026. The SCAN Trusted Factory program already secures over 40% of U.S. imports. The dRAG framework enables AI agents to query verified Knowledge Assets directly on the DKG. Enterprise Paranets launching mid-2026 could squeeze TRAC demand significantly as vertical industries stake their own subnetworks. This is one of the most fundamentally undervalued projects in crypto relative to real-world adoption. ⚪ Mission OriginTrail's mission is to organize humanity's most important knowledge and make it discoverable, verifiable, and valuable. In the age of AI hallucinations, deepfakes, and data manipulation, the DKG provides a protocol-level guarantee that information is authentic, traceable, and privacy-preserving. The founders believe that trusted knowledge is the most valuable resource in the AI era, and OriginTrail is the infrastructure that makes it trustworthy. 🔵 A Brief History OriginTrail originated in 2011 when the founding team, including co-founders Branimir Rakić, Tomaž Levak, and Žiga Drev, began developing a solution to improve supply chain transparency and efficiency. The three Slovenian engineers started by building traceability systems for organic food supply chains before realizing the concept had far broader applications. In September 2013, Branimir co-founded Trace Labs and OriginTrail with Tomaž Levak and Žiga Drev. Trace Labs, headquartered in Hong Kong, became the core development company. In January 2018, Trace Labs' team launched an initial coin offering (ICO) to raise funds to develop their project. Within 20 minutes, the sale of tokens netted $22.5 million. Žiga Drev managed the OriginTrail pilot projects in China and helped design a blockchain-based food traceability blueprint in 2017 which got OriginTrail to become an inaugural member of the Walmart Food Innovation Pipeline as well as the first winner of the Innovation Spark Award. The mainnet launched in December 2018. Enterprise adoption followed steadily: BSI (British Standards Institution), SCAN (Supplier Compliance Audit Network securing 40%+ of U.S. imports), Swiss Federal Railways (SBB), World Federation of Hemophilia (WFH), and multiple EU and UK government projects all deployed on the DKG. In 2022, Trace Labs released a second whitepaper expanding the vision from supply chain to the broader Decentralized Knowledge Graph for AI and RWA tokenization. OriginTrail launched its own Polkadot parachain (NeuroWeb) with a dedicated OTP token. DKG V8 launched in 2025 with the Random Sampling Proof System (RSPS), replacing the previous proof mechanism and dramatically improving scalability. The network expanded to three chains (Ethereum, Gnosis, Base) in addition to NeuroWeb. The Metcalfe phase vision was presented, targeting 100 billion Knowledge Assets (a 100,000x scalability increase). By 2026, whale transactions surged 137%+ in early April, signaling smart-money accumulation near support levels. Enterprise Paranets are expected to launch mid-2026, creating staked subnetworks for vertical industries. 🔵 Ecosystem Narrative OriginTrail's ecosystem is built on a fundamentally different premise than most crypto projects: data itself is the asset. Not tokens, not NFTs, not DeFi liquidity. Verified, structured, privacy-preserving knowledge that AI systems and enterprises can trust. Key dynamics include: ➛ Decentralized Knowledge Graph (DKG) connects data from multiple blockchains, institutions, and organizations into structured, verifiable graphs. Data can be verified as authentic without being copied or exposed, preserving privacy. ➛ Knowledge Assets are the core data objects on the DKG. Each one is an authenticated, linked information token minted as an on-chain asset. They represent verifiable claims about products, documents, identities, or any real-world entity. ➛ SCAN Trusted Factory program secures over 40% of U.S. imports through supply chain verification, representing one of the largest real-world blockchain deployments by trade volume. ➛ dRAG (Decentralized Retrieval-Augmented Generation) framework enables AI agents to query verified Knowledge Assets directly on the DKG, providing AI with trusted context instead of hallucinated information. ➛ Enterprise Paranets (mid-2026) will be staked subnetworks tailored to vertical industries. If BSI, SCAN, and SBB deployments move onto dedicated Paranets, the combined TRAC staking requirement could significantly squeeze available supply. ➛ GS1 integration ensures compatibility with the global standards organization behind barcodes, making supply chain data interoperable across traditional and blockchain systems. ➛ Multichain architecture operates across Ethereum, Polkadot (NeuroWeb), Gnosis, and Base, tripling the potential reach for Knowledge Asset interactions. ➛ Metcalfe phase targets 100 billion Knowledge Assets with autonomous knowledge mining, where AI agents discover and add verified knowledge to the DKG with minimal human involvement. ⚪ Token Utilities $TRAC powers the entire trusted knowledge economy: ➛ Publishing Knowledge Assets - TRAC is required to publish and update Knowledge Assets on the DKG. Every piece of verified data costs TRAC to create and maintain. ➛ Node Collateral & Staking - Node operators stake a minimum of 5 million TRAC to host data and validate the DKG. 20% of total supply is staked, 13% locked in node operations. ➛ Data Access Fees - Users pay TRAC to access and query Knowledge Assets. Node operators earn TRAC for hosting and maintaining data integrity. ➛ Collective Programmatic Treasury - Network fees are programmatically allocated to fund ecosystem development, grants, and public goods through on-chain governance. ➛ Knowledge Mining (Upcoming) - Contributors will earn TRAC for adding verified knowledge to the DKG, incentivizing autonomous growth of the verifiable Internet. ⚪ Key Features ➛ Decentralized Knowledge Graph - The only protocol that structures, verifies, and connects data across blockchains in a privacy-preserving graph format that AI systems can query. ➛ 40%+ of U.S. Imports Secured - SCAN Trusted Factory program is one of the largest real-world blockchain deployments by trade volume. Enterprise adoption is not a roadmap item, it's a reality. ➛ dRAG for AI Verification - Decentralized Retrieval-Augmented Generation enables AI agents to access verified knowledge instead of hallucinating. The missing piece for trustworthy AI. ➛ 500M Fixed Supply, ~90% Circulating - Non-inflationary. No future dilution. 20% staked, 13% locked in nodes. Enterprise Paranets will lock more. ➛ Walmart Innovation Spark Award - First winner of Walmart's food safety innovation program. Validated at the highest level of global retail supply chain. ➛ BSI, SBB, WFH, EU/UK Government Adoption - Enterprise clients across standards bodies, national railways, healthcare, and government projects use the DKG in production. ➛ Enterprise Paranets (Mid-2026) - Staked subnetworks for vertical industries. Could significantly squeeze TRAC supply as enterprises stake dedicated infrastructure. ➛ Metcalfe Phase - Targeting 100 billion Knowledge Assets. 100,000x scalability increase. Autonomous knowledge mining via AI agents. 🔵 Meet the OriginTrail Team OriginTrail is built by three Slovenian engineers who started solving supply chain transparency in 2011 and evolved into building the world's trusted knowledge infrastructure for AI. ▶️ Core Members: ➛ Tomaž Levak [ @TomazOT ] - Co-Founder & CEO | Began his career as a marketing advisor for EKODAR, a Slovenian organic meat brand, where he co-developed an innovative traceability system. His background in supply chain transparency laid the foundation for OriginTrail's vision. Leads overall strategy, enterprise partnerships, and ecosystem growth. ➛ Branimir Rakić [ @BranaRakic ] - Co-Founder & CTO | Started as a freelance web developer and went on to lecture at the SAE Institute. Served as a network testing engineer at P3 Communications before leading the technological development at Trace Labs. Leads all protocol development including DKG V8, RSPS, and the dRAG framework. ➛ Žiga Drev [ @DrevZiga ] - Co-Founder & Managing Director | Managed the OriginTrail pilot projects in China and helped design a blockchain-based food traceability blueprint. Introduced GS1 standards to the platform. First winner of Walmart Food Safety Innovation Spark Award. MBA graduate. Often the public face of the project at global events. Member of the Ethereum Enterprise Alliance Supply Chain working group. ➛ Trace Labs (Hong Kong) - Core development company behind OriginTrail open-source technology. Walmart Food Safety Innovation Spark Award winner. Admitted into Walmart Food Safety Collaboration Center's Innovation Program in China. Founding shareholder in umanitek (AI trust and data ownership). 🔵 Ratings ➛ Use Case: ★★★★★ (5/5) - OriginTrail addresses the most critical problem in the AI era: how do you know if the data is real? The DKG is the only protocol that structures, verifies, and connects knowledge across blockchains in a format AI systems can query for truth. And this isn't theoretical: SCAN secures 40%+ of U.S. imports, BSI provides standards verification, Swiss Federal Railways tracks infrastructure, and EU/UK governments run projects on the DKG. The dRAG framework for AI verification is the missing piece between LLMs and trusted information. Enterprise Paranets create vertical-specific knowledge networks. The Metcalfe phase targeting 100 billion Knowledge Assets positions OriginTrail as the "Google of verifiable knowledge." In a world drowning in misinformation, deepfakes, and AI hallucinations, trusted knowledge infrastructure isn't optional. It's essential. ➛ Tokenomics: ★★★★ (4/5) - 500M fixed supply with ~90% already circulating means minimal future dilution. Non-inflationary by design. 20% of supply staked, 13% locked in node operations (5M TRAC minimum per node). Enterprise Paranets launching mid-2026 will lock additional supply as vertical industries stake dedicated subnetworks. The Collective Programmatic Treasury reinvests fees into ecosystem growth. ➛ Audits: ★★★★ (4/5) - OriginTrail has been operating since December 2018 without a major protocol exploit or data breach affecting enterprise users. The DKG V8 upgrade introduced the Random Sampling Proof System (RSPS) for efficient node verification. The codebase is fully open-source. Enterprise clients like BSI, SCAN, and Swiss Federal Railways have their own security requirements that OriginTrail must meet to maintain partnerships. The NeuroWeb parachain is secured by Polkadot's shared security model. The 1-point deduction is for limited publicly documented third-party security audits from major firms, and the multichain architecture (Ethereum, Polkadot, Gnosis, Base) creates a broader attack surface that requires continuous security monitoring. ➛ Community: ★★★★ (4/5) - OriginTrail has one of the most intellectually committed communities in crypto. The "TracArmy" understands the DKG, knowledge graphs, and AI verification at a technical level that most communities can't match. 20% of supply staked and 13% in nodes shows genuine long-term commitment. The community has held through an 87% drawdown with conviction driven by enterprise adoption rather than speculation. Whale accumulation surging 137%+ in April 2026 signals smart-money confidence. Active on Discord, X, and Reddit. The deduction is that OriginTrail remains one of the most underrecognized projects in crypto relative to its enterprise adoption. Mainstream awareness is minimal. Trading volume is thin. The community is quality over quantity, but it needs scale to match the ambition of 100 billion Knowledge Assets. 🔵 Conclusion OriginTrail is the most fundamentally undervalued project in crypto relative to its real-world adoption. No other protocol can claim that 40% of U.S. imports flow through its verification system. No other protocol has BSI, Swiss Federal Railways, Walmart, and EU governments using its technology in production. No other protocol has built the infrastructure that makes AI honest by providing verifiable, structured knowledge that LLMs can query for truth instead of hallucinating. The three Slovenian engineers who started building supply chain traceability in 2011 have quietly created something far bigger than they initially imagined: the Decentralized Knowledge Graph, a protocol-level infrastructure for verified truth in the AI era. The DKG V8, dRAG framework, Knowledge Assets, and Enterprise Paranets represent a technical stack that no competitor has replicated. AI's biggest problem isn't intelligence, it's trust. Every major AI company is grappling with hallucinations, misinformation, and data provenance. OriginTrail is the only protocol that solves this at the infrastructure level with a live, enterprise-adopted DKG. When the $20+ billion AI data verification market materializes, and when enterprises realize they need verified knowledge graphs to make AI reliable, OriginTrail won't need to build the infrastructure. It already exists. 40% of U.S. imports already flow through it. The question isn't whether OriginTrail is important. It's whether the market will figure that out before or after the price catches up.

DESCI SUPERCYCLE IS HERE 🧪 GG to @origin_trail for the recent listing on @Official_Upbit 👽 Biggest Korean exchange listing is a HUGE step toward mass adoption of Decentralized Science and AI technology +600% instant candle spawned on chart right after But let me tell you why ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f deserves this moment OriginTrail is the Decentralized Knowledge Graph. Think Google for verifiable data but decentralized. They're building the infrastructure where AI can access trusted real-world knowledge without hallucinations. Already working with: > EU railway system for supply chain verification > BSI British Standards Institution > Swiss Federal Railways > Oracle partnership World Economic Forum recognized them as technology pioneer. DeSci needs verified data. AI needs trusted knowledge. Supply chains need transparency. TRAC connects all three. While CT was sleeping on DeSci the builders kept building. Now Korea is paying attention. Mass adoption loading Tribe -Brondor

On the cutting edge of innovation, what’s next for decentralized knowledge graphs and agentic AI? 4 key insights & full @BranaRakic x @Origin_Trail article below. origintrail.io 1⃣🧩 Personal Knowledge Bases Are Becoming The New Operating System: AI is shifting from simply answering questions to organizing your entire thinking environment. Your competitive edge becomes an evolving, AI-native knowledge layer rather than a collection of disconnected apps. 2⃣🧠 Context Is The New Platform Battle: The next major battleground is not the models themselves but who owns and structures context, including your data, memory, and workflows. Control over context ultimately drives better outcomes. 3⃣🔗 From Single Agents To Connected Intelligence Networks: AI is evolving beyond isolated tools into interconnected agents that share knowledge and context. This transforms AI into a collaborative system of intelligence rather than a standalone assistant. 4⃣⚙️ The Real Value Is In How Information Flows, Not Just What You Know: Static knowledge is becoming commoditized, while structured and usable knowledge creates advantage. The real edge comes from how quickly and effectively your system can retrieve, adapt, and apply context. #ArtificialIntelligence #FutureOfWork

Umanitek continues to build and attract new players. This year off to a good start. HRH Prince @KhaledAlwaleed has officially joined the project's Advisory Board We look forward to seeing what is in store for the coming months to combat fake news, deep fakes, and all the manipulation we face today.

Universal Commerce Protocol marks the shift from clicks to intent, but agentic commerce needs trusted memory. @origin_trail + @gs1 standards provide verifiable product data & consumer context via the DKG, enabling AI agents to reason, transact & act with trust.

An awesome December. 2026 will be one of the greatest @origin_trail years. Let's make it happen people. Love to see what $TRAC is doing. Let's run it back people, send it all the way.

To put @near_intents explosive growth in perspective: From launch in December 2024, it took ~10 months to hit $1 billion in total volume. In just the past 4 months, that volume skyrocketed 9x to $9 billion! Exceptional stuff!! This kind of momentum could very well show up in the price of $NEAR in the months and years ahead…

WHAT DAY IS IT?? WHAT DAY IS IT?? WHAT DAY IS IT?? WHAT DAY IS IT?? It's FANABLE FRIDAYYYYYY😱🥳🚨🎁 🥳Mystery Case Time‼️ 1) Like & Retweet 2) Comment #FANABLEFRIDAYS and TAG A FRIEND💥 teapawt.org/i/spaces/1kvJpMOpdOoxE

Ethernet pioneer Dr. @RobertMMetcalfe joined @BranaRakic at DKGcon 2025 to discuss how blockchains, LLMs and the DKG converge to power trusted intelligence networks. 00:00 – AI & knowledge graph convergence 04:35 – Internet pathologies 13:40 – Decentralized, user-defined filters 23:10 – Why interoperability matters

THIS IS $TOGA

We just pushed the biggest Fanable update yet! 🙌 Fanable 2.0.0 is live. Update your app to get: • 🌍 International collectors can now use their Stripe balance to make new purchases • 📈 Recent comic reveals now displayed on the home page • 🛒 New marketplace listings featured directly on the home page • ⚡ Major performance upgrades for faster, smoother navigation • 🎞️ Improved pack reveals with better animations • 🧭 Streamlined checkout and smoother vault/redemption flows • 🔧 Stability improvements and bug fixes

🤝@TraceLabsHQ - @origin_trail core developers, have been accepted to the @nvidia Inception program! Standing on the shoulders of giants, a Truly Open #AI is made possible by fostering inclusivity, neutrality & usability. $NVIDIA $TRAC #NVIDIAInception origintrail.io/blog/trace-la…

🧵 Megathread on @origin_trail $TRAC The best time to find true gems💎 is when the environment is extremely hostile. $TRAC rose 🚀 from 30c to 85c in October when most alts went down -50%. Why will $TRAC reach at least two digits if not more? 1/8👇 teapawt.org/otnoderunner/status/19…

What is @origin_trail $TRAC and why has it been the #1 best performer in the top 500 during the latest mass selloff? 👇

Been looking into this one for a while now and think there's a really solid investment thesis here for a fossil coin. I've began a sizable long-term position: $TRAC (@origin_trail) is of the few 2017-18 crypto projects that didn’t just survive, it actually shipped and has legitimate adoption and is now set to become something far more ambitious that will soon play an integral role in AI, DeSci, genomics, healthcare, and academic research. What gives TRAC its moat is the Decentralized Knowledge Graph (DKG), a network that doesn’t just store data, it ties to understands it. By combining blockchain’s immutability with the structure of knowledge graphs, OriginTrail can organize relationships between facts, sources, and proofs of origin. That makes it incredibly hard to replicate and perfectly suited for a world drowning in synthetic information. Add to that real enterprise integrations, compliance with GS1 data standards, and a token model tied to actual usage rather than inflation, and you get a protocol that’s quietly built a defensible position as the trust layer for data and AI. It started out with the goal of supply-chain transparency... BSI, the US Customs-linked SCAN network + 22,000+ factories use OriginTrail’s Decentralized Knowledge Graph (DKG) to secure audit and compliance data and there's been over 30,000+ certifications that are already anchored to the network. In supply chain, TRAC's DKG acts as kind of an invisible data layer that verifies where a product came from, how it moved, and whether its certifications are legit, all recorded immutably and interoperable with existing standards like GS1 EPCIS 2.0... So think pharma and how critical it is to trace medicine packaging and storage; food and agriculture, tracing the origin and logistics of meat, dairy, and fresh produce to ensure integrity; and transportation, verifying safety and compliance logs. But what TRAC is building now goes beyond logistics — it’s trying to tackle trust itself. The DKG lets anyone publish verified data as a Knowledge Asset, each one tied to an NFT carrying authorship, provenance, and ownership. That means an AI model, research lab, or government agency can trace where information came from, who published it, and whether it’s been tampered with. We’re already seeing how messy things are getting... AI-generated content, deepfakes, misinformation. People can’t tell what’s real anymore. In that kind of world, being able to prove what’s true becomes everything. We need a system that can prove authenticity and origin. This is why TRAC’s next phase reaches into DeSci, genomics, healthcare, and academic research, places where data integrity isn’t optional. There's already been some progress: Trace Labs (the core team) joined the Sustainable Medicines Partnership with major pharma players to anchor medical supply data, OriginTrail tech powers parts of Oracle’s blockchain partner network and its Trace Alliance, now 150+ organizations, is experimenting with how verified data can move between science, manufacturing, and AI. Capped supply (~500M), almost everything circulating. Roughly 70M TRAC is currently staked showing strong holder alignment. Staking requires 50,000 TRAC with withdrawals locked ~28 days on EVM chains (Gnosis/Base) and instant unstakes on the NeuroWeb chain (it's own parachain). Yields can average 10-20% (though they’ve spiked higher during active periods) and are tied directly to DKG activity itself. The interesting part is that it’s not inflationary as almost all TRAC is already in circulation. Rewards come from real network usage where the TRAC fees paid by data publishers are redistributed to node operators and stakers, more similar to protocol revenue sharing creating strong incentive alignment between all participants from data publishers, node operators and stakers. Since 2018, the TRAC team has reportedly used only ~20% of its treasury, largely because EU innovation grants and enterprise partners help fund development and usage. It’s one of the few teams from that era that’s stayed active while maintaining a low burn rate, proof of real operational sustainability. I won't comment too much on the chart structure, but IMO, quite constructive and forming a good base here. I will DCA into this for a long term play.

Why is earnings important in crypto? Earnings measures the net value 💰 a project retains and distributes back to the holder Top AI earners: 🥇 @origin_trail $TRAC Verifiable AI 🥈 @graphprotocol $GRT Indexer protocol 🥉 @Filecoin $FIL Data storage others: $NEAR $ICP $TAO $RNDR