In every single interview I have done over the years, I have insisted that there is no instance in the history of tech where closed networks win over open ones, where open innovation is permissionless, so this time will not be different. Closed networks are an anomaly that incumbents embrace temporarily; remember AOL or MSN and think about what you use today.
EtherFi is deploying $100M into Plume to power their institutional earn product.
$6B+ in @ether_Fi customer deposits now have access to the Open Finance platform providing institutional-grade access to RWA yield opportunities.
Exclusive bonus for early depositors into the RWA Vault ↓
🇳🇬Nigeria brings the scale. 232 million people.
One of Africa's biggest economies.
Now $IOTA and ADAPT bring the rails.
That matters because Nigeria already has serious trade pressure.
It is a giant import market, a major energy exporter, and a country trying to move beyond oil.
Think more food, fertiliser, manufactured goods, digital services and more intra-African trade.
The food side alone shows the scale.
Nigeria spends over $10 billion a year on food imports like wheat, rice, sugar, fish and tomato paste.
Food and beverage imports also rose from ₦6.58 trillion in 2024 to ₦7.65 trillion in 2025.
At the same time, the non-oil export story is getting stronger.
Nigeria already has the trade volume. The challenge is making that trade easier to document, verify, clear and finance across borders.
That is also why the payments side matters.
Nigeria has currency pressure, dollar demand and huge import needs.
ADAPT’s finance layer is designed to connect banks, mobile money, stablecoins and digital currencies into one interoperable network.
And Nigeria already has a national system moving in the same direction.
Its National Single Window Phase 1 is focused on statutory permits and cargo manifests, with traders submitting information once while agencies access and approve it digitally.
Reuters also reported that the first phase would start narrow, with one shipping line and one port.
So this probably begins with a controlled trade lane first, not the whole country at once.
For AfCFTA, that is where it gets interesting.
Nigeria probably does not start with crude oil.
More realistic early use cases are cocoa, cashew, sesame, fertiliser, agro-processed goods and manufactured goods moving into African markets.
It helps connect them across borders.
Kenya, Morocco, and Nigeria will be the first pilot countries to implement ADAPT
.@akashnet and peaq unlock autonomous elastic compute for robots and machines
The strategic partnership enables on demand GPU and CPU compute for any robot or machine running peaqOS
→ peaqOS provides the context and coordination
→ Akash Network provides decentralized compute on demand
The output returns to the robot in seconds
https://t.co/y6jOdkgTKV
peaqOS now makes robots and machines financially autonomous
Introducing peaqOS Scale, enabling machines to leverage services and capital across Web3 and beyond
The machine market is live, unlocking billions of new consumers:
→ https://t.co/DeR6AB2g8r
A robot on @solana can also earn on @base
A robot on @base can access services on @solana
May 19 marked a turning point! The Take It Down Act sets a new standard.
Advocated by voices like @ParisHilton, platforms must now remove non-consensual intimate imagery, including AI deepfakes, within 48 hours or face @FTC enforcement. Compliance now depends on infrastructure.
@umanitek , powered by @origin_trail DKG, enables early detection and direct takedown workflows to help victims detect harmful content and platforms to meet the crucial time frame.
$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.
Plume has officially secured a Class M license from the BMA, alongside leading names like Circle, Coinbase, and Kraken.
The promise of open finance has always been uniform access and protections for global investors
This license will enhance our existing world-class services and ensure Plume continues to lead the charge into the future of open finance
Plume is now the world’s first regulated onchain vault manager.
We’ve been granted a Digital Asset Business Licence by the Bermuda Monetary Authority, joining Circle, Coinbase, and Kraken under @BermudaMonetary supervision.
This brings us one step closer to our vision of Open Finance.
https://t.co/qb5iVCG6fN
Kenya, Nigeria, and Morocco have been selected as the first countries to implement ADAPT - the Africa Digital Access and Public Infrastructure for Trade initiative.
Watch a team of humanoid robots running a full 8-hr shift at human performance levels. This is fully autonomous running Helix-02 https://t.co/IdZR0T1F5I
peaqOS x LG: Turning CLOi Robots Into Autonomous Economic Actors
peaq has integrated peaqOS with @LGE_Global’s CLOiSim environment, demonstrating pay-per-skill robotics powered by autonomous onchain commerce
Robots can now coordinate services, monetize individual skills, and settle transactions autonomously in $USDT using peaqOS + @WDK_tether
@Salimasbegum What’s not clear is , so twin ipos as a SAAS, aren’t you taking value away from iota token holders as rather than all the value flowing into Iota it will now be split between Twin and Iota. This isn’t good news! You don’t see Chainlink planning to ipo and diluting token holders
What happens when live world signals become verifiable AI memory?
With World Monitor by @eliehabib integrated into @origin_trail DKG v10, real-time data streams — from global events, trade routes, ship traffic, conflict zones, news, webcams, and supply-chain signals — are transformed into Shared Context Graphs in realtime.
That means AI agents don’t just observe the world.
They can reason over structured, connected, and verifiable context, and more importantly take action.
World Monitor DKG v10 unlocks pipelines for:
• supply-chain risk
• energy shocks
• geopolitical intelligence
• disaster response
• macro-event analysis
The impact: faster sensemaking, trusted coordination, and AI systems grounded in real-world, source-backed knowledge.
From live monitoring to shared verifiable memory.
Trust the source.
Supra is no longer just a blockchain project
We've spent months working toward this shift, and we're ready to share where we're headed. Here's what's changing and why
🔥 IOTA is not playing at “crypto”… it’s building critical real-world infrastructure.
One example of this is the Vitalnode project, an initiative aimed at digitalizing the Argentine healthcare system, with international ambition but locally focused development, designed for use by public institutions, insurers, and the entire national healthcare ecosystem.
Verifiable medical identities, encrypted clinical records, and traceable prescriptions validated by the National Administration of Drugs, Food and Medical Technology (ANMAT) 🇦🇷, along with provincial health authorities and the National Ministry of Health. This also includes troquel management, social insurance systems, and pharmacy-level drug dispensing. All connected within a single architecture where doctors, institutions, and regulators operate with verifiable permissions and without intermediaries.
I came to IOTA to see things like this. A model of a complete healthcare system built on decentralized infrastructure.💊🩺💉
The project may have passed through a hackathon with a low profile, but something else is emerging here. An infrastructure layer that, if it works, could scale far beyond its point of origin.
IOTA is starting to be sensed and used as the trust layer for critical real-world systems.⚠️
Acá hay algo groso en marcha, papá! 🚀
#IOTA #Argentina #HealthTech #PharmaTech #ANMAT #SSI #blockchain
Introducing SupraOS.
It's basically blockchain enforced AI agent management with a slickkk UI. And you self-host it like OpenClaw with end to end encryption (you own all your data).
Alpha Launch starts tomorrow 4/20,
only 100 seats. Public release maybe a week later.
Stay tuned to our socials for more information.
We imagine a world where we all have 10-100s of agents being of service to us across ALL Life Areas we care about. And that the organizations of the future will be AI-centric too.
SupraOS is an answer to cryptography enforced AI Governance. Supra L1 will engage in decentralized AI training as well via SupraOS users. Some SupraOS users are going to build empires, I imagine...
We're entering an entirely new world!
It's exciting, and as long as you have the right tools, harnesses, and scaffolding to leverage AI, you're going to accomplish more than you ever imagined.
We'll be open sourcing SupraOS, its around 300K lines of code, it'll be available to you for FREE.
Cheers frens!
0.5 tons of Tantalum. Tokenized. Verifiable on the IOTA Mainnet.
This is what closing the trade finance gap looks like in practice.
https://t.co/5ZH1LJiyLZ
@salusplatform