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đŸ’„A blockchain-based infrastructure for web2 and web3 AI applicationsđŸ’„
Let's Take A Deep Dive On Fetch.Ai
October 07, 2022
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  • Fetch-ai Network is developing the infrastructure and tooling for creating Web2 and Web3 AI applications.
  • FET is the native token of Fetch-ai Network. The current main use cases for FET include:
    • Staking: FET is an access deposit token that acts as a form of stake to demonstrate the desire to behave appropriately.
    • Value exchange between agents: FET is required for two agents to perform an exchange of value in the ecosystem.
    • AI/ML access: FET token enables development of and access to a broad range of machine learning and artificial intelligence tasks that are available on the ledger.
  • The project consists of the following major components working in conjunction:
    • Fetch-ai blockchain system: a đŸ’„Cosmos SDKđŸ’„ based self-sovereign blockchain ledger and the supporting tools for developing DApps on the network.
    • Applications built on Fetch-ai: the modular Autonomous Economic Agents (AEAs) and the Digital Twin Platforms that can efficiently and securely communicate peer-to-peer and provide interconnectivity with multiple networks.

Historical daily prices (in USD)

Token Summary

Interesting on-chain metrics that provide a rapid understanding of the state of Fetch

1. Overview

1.1 What is Fetch-ai Network

Fetch-ai Network is a Cambridge-based artificial intelligence lab building an open-access decentralized blockchain based framework with the principal goal of delivering a fully autonomous, agent-based digital economy. The Fetch-ai Network technology stack is built using principles derived from a branch of artificial intelligence known as multi-agent systems. This approach involves solving different problems from the bottom-up by creating individual autonomous software agents that perform actions in the world to accomplish their individual objectives. By combining the actions of multiple agents, it is possible to achieve outcomes that would not be possible with centralized architectures because the environments are too complex, are spatially distributed or involve multiple stakeholders. Blockchain technology involves the design of incentives to successfully coordinate the actions of multiple disinterested parties to achieve a common goal, and can already be seen as the world’s most successful implementation of multi-agent systems. Fetch-ai Network is working to generalize and extend the results from this established research field into new domains in finance, supply chain, mobility, smart cities and IoT applications.

1.2 Token Use Cases

The primary use cases of the FET token are listed below.

  1. Ability to connect agents and nodes to the network: This is an access deposit token that acts as a form of stake to demonstrate the desire to behave appropriately. It modulates the ability for bad actors to flood the network with undesirable nodes or agents due to the escalating cost of doing so.
  2. Value exchange between agents: The FET token is required in order to allow for two agents, regardless of where they are, to perform an exchange of value. The FET token is infinitely divisible, thereby supporting transactions that have very low monetary value, but in aggregate provide new and profound levels of insight.
  3. Access to the digital world: FET tokens are needed to access, view, and interact with the decentralized digital world. This is a space optimized for digital entities: an abstract representation of the real world in many dimensions that allows machines to make sense of and work within. The FET token is needed to gain access to all aspects of this digital world for agents.
  4. Ability to access and develop ledger-based AI/ML algorithms: The FET token enables development of and access to a broad range of machine learning and artificial intelligence tasks that are available on the ledger. These may be primitive services developed by Fetch-ai Network such as: trust and prediction models, or they may be large-scale independently developed services for network users.
  5. For exchange into Fetch-ai Network’s operational fuel: operation costs in Fetch-ai Network are decoupled from the Fetch-ai Network token in a similar way to that of “gas” on the Ethereum network but with additional functionalities designed to increase the stability of such a fuel and look at addressing the issues associated with high and low-velocity economies. Fetch-ai Network’s operational fuel allows access to processor time for contract execution and services for agents.

1.3 Products, technical details, consensus mechanism

The Fetch-ai Network blockchain is an interchain protocol based on the Cosmos-SDK, and uses a high-performance WASM-based smart contract language called Cosmwasm to allow advanced cryptography and machine learning logic to be implemented on-chain. This layer is responsible for securing the network through consensus. It also provides staking, governance, and identity services that support digital twin applications. The Fetch-ai Network blockchain relies on a modified version of the Cosmos protocol’s Tendermint Proof-of-Stake (PoS) consensus mechanism to secure the network. And since the Fetch-ai Network blockchain is Cosmos-based, it can be interoperable with other blockchains in the Cosmos ecosystem via the inter-blockchain communication (IBC) protocol. In addition the Feth.ai technology stack further consists of: an agent framework, an open economic framework and an agent communication network.

The Autonomous agent framework is designed to allow for a decentralized digital economy to manifest where each individual and organization is represented by an autonomous economic entity with its own agency. Designed as an actor-like asynchronous message passing system, the framework allows for a high degree of modularity as components largely communicate via messages. Moreover, the framework can be bifurcated in two parts: the core, developed by Fetch-ai Network and external contributors and packages implementing agent-specific business logic. Figure one presents a simplified illustration of the AEA framework.

The Open Economic Framework (OEF) consists of protocols, languages and market mechanisms agents use to search and find each other, communicate with as well as trade with each other. As such the OEF defines the decentralized virtual environment that supplies and supports APIs for autonomous third-party software agents, also known as Autonomous Economic Agents (AEAs).

The agent communication network is a peer-to-peer communication network for agents. It allows AEAs to send and receive envelopes between each other. The implementation builds on the open-source libp2p library. A distributed hash table is used by all participating peers to maintain a mapping between agents' cryptographic addresses and their network addresses. Agents can receive messages from other agents if they are both connected to the ACN (see here for an example).

2. What is Fetch-ai Network?

2.1 Project overview

Fetch-ai Network is a Cambridge-based artificial intelligence lab building an open-access decentralized blockchain based framework with the principal goal of delivering a fully autonomous, agent-based digital economy. The Fetch-ai Network technology stack is built using principles derived from a branch of artificial intelligence known as multi-agent systems.

2.2 Project mission

Fetch-ai Network is working to generalize and extend the results from established research fields such as blockchain, artificial intelligence and multi agent systems into new domains in finance, supply chain, mobility, smart cities and IoT applications, by creating useful antifragile tools, decentralized apps, protocols and frameworks.

2.3 Project value proposition

By bringing data to life Fetch-ai Network solves one of the greatest problems in the data industry today: data can’t sell itself. With Fetch-ai Network, it can. Data is able to actively take advantage of any opportunity to exploit itself in any marketplace, in an environment that’s constantly reorganizing to make that task as easy as possible. Internet-of-things (IOT) devices inhabited by Fetch-ai Network autonomous agents can increase utilization by capitalizing on short-lived opportunities to sell information that they possess in existing, as well as novel, information services markets: an agent in a vehicle can provide weather and road conditions by simply relaying the activity of its windscreen wiper and washer. Through the deployment of agents in combination with machine learning technology, data and hardware can now get up on their own two feet, get out there and sell themselves entirely free of intermediaries or human intervention.

3.Token sales and economics

3.1 Token sales data

Fetch-ai Network leverages its own native cryptocurrency FET as a utility token and the primary medium of exchange on the platform. FET is used to pay for network transaction fees, deploy AI, and pay for services. Users can also choose to stake FET to participate in securing the network via its Proof-of-Stake consensus mechanism and earn rewards in return for contributing to validator nodes.

There is a fixed number of divisible tokens that are used on the Fetch-ai Network network as the digital currency for all transactions, as well as for network operations such as secure communications. Tokens can also constitute an access deposit for both nodes and agents wishing to perform certain operations (as a security mechanism to discourage malicious behavior). Token allocation has been divided amongst public sale, seed investors & private sale, founders & team, advisors, ecosystem, mining rewards, and issuer.

3.2 Token Distribution

The total number of tokens generated is intended to be 1,152,997,5753. No further tokens will be created, but native Fetch-ai Network tokens can be subdivided indefinitely

4. Token Overview & Use Cases

Fetch.ai leverages its own native cryptocurrency FET as a utility token and the primary medium of exchange on the platform. FET is used to pay for network transaction fees, deploy AI, and pay for services. Users can also choose to stake FET to participate in securing the network via its Proof-of-Stake consensus mechanism and earn rewards in return for contributing to validator nodes.

There is a maximum supply of approximately one billion FET, which exists both in its native form as an ERC-20 token that can be used throughout the Ethereum ecosystem, and as a BEP-20 Token that can be used throughout the Binance Smart Chain Network. FET can be easily exchanged through a token bridge at a 1:1 ratio for either the Fetch.ai blockchain mainnet or ERC-20 version as needed. Staking on the Fetch.ai mainnet can earn users high rewards with significantly lower transaction fees for users.

There are a range of use-cases which Fetch-ai Network’s multi-agent systems can tap into and create a decentralized digital economy. From service sectors like Travel or Gig-economy to sectors relying on automation and machine learning like Mobility or Supply chain management, Multi-Agent systems can decentralize access to data and disrupt existing data monopolies.

Starfleit: Starfleit is a decentralized exchange (DEX) where transactions occur directly between crypto traders without needing a centralized market maker but instead using an Automated Market Maker (AMM) developed using Cosmwasm smart contracts. The assets available to swap range from native Fetch-ai Network assets, CW-20 assets, IBC transferable assets, and even assets from other chains outside the Cosmos ecosystem, via the Axelar bridge.

Atomix: Atomix enables stablecoin holders to supply liquidity and receive a yearly yield composed of protocol-generated returns and ATMX rewards. That yield is highly competitive compared to returns delivered by decentralized finance (DeFi) and traditional alternatives.

MOBIX: MOBIX (MOBX), is a Move 2 Earn, decentralized micro-mobility marketplace that incentivizes sustainable urban mobility.

Mettalex: A decentralized crypto and commodities derivatives trading platform, Mettalex is addressing pain points in commodities markets like front running, poor liquidity, price manipulation and loss of value in the form of margin calls.

Resonate.social: Resonate (RESO), decentralized social network for Web3 that enables users for the very first time to have a personal AI-powered, trusted social experience that is automatically sanitized from malicious, untrustworthy sources and actors. Built on the Fetch-ai Network blockchain, Resonate.social empowers users to deploy personalized AI proxies to accomplish any Web3 social economic activity on their behalf within and without the network.

Collective Learning:

The Fetch-ai collective learning module is a tool that enables distributed parties to work together to train machine learning models without sharing underlying data with any of the individual participants. Utilizing blockchain technology and AI learning capabilities, it supports and trains its network to learn from private data without having access to it.

  • AXIM: Axim allows businesses to safely and securely connect data silos, improve their understanding via machine learning models and gain valuable insights to help optimize their business functions, without compromising any of their data privacy.
  • DabbaFlow: DabbaFlow, empowers individuals and companies to take more control over their data and turn them into real business outcomes, while keeping their data private and secure. It is the first of its kind end-to-end encrypted file-sharing platform and is the first step on Fetch-ai Network’s mission to bring AI fully to Web3.
  • OpenColearn: Open CoLearn is a platform to give distributed app developers (Web 3.0) the tools to use AI securely while safeguarding consumers' data privacy and ownership. It bridges the gap between consumers who generate a low volume of data and care about privacy and data ownership and developers who want to provide AI predictions or monetize that data in a distributed way.

Notable use-cases for Collective Learning

  1. COVID-19 detection : Multiple participants from the healthcare sector trained a machine learning algorithm using Fetch-ai’s Collective Learning to detect COVID-19 in chest x-rays. During these trials, the trained AI model correctly identified COVID-19 cases from a training set of over 1,434 chest X-ray images with 90% accuracy.
  2. Cancer cell detection: In partnership with Poznan Supercomputing Networking Center (PSNC) on Collective Learning, Fetch-ai and PSNC will train algorithms for hospitals and research centers worldwide to identify and detect circulating cancer cells in patients’ blood or tissue biopsies in the future.
  3. Bosch and Fetch-ai - Predictive Maintenance: Predictive maintenance is a process that identifies potential failures of machinery before they happen.To identify potential failures of manufacturing machinery, Bosch is utilizing Fetch-ai’s Collective Learning to predict potential failures in Bosch’s machinery while maintaining data privacy.
  4. Colearn pAInt: This is an art creation platform that allows groups of creators to automatically generate NFTs using Machine Learning. Each piece is one of a kind and sold via auction on OpenSea. \

4.1 DeFi

  • Botswap.fi: This is an automated DeFi Liquidity Management App where users can manage and protect their crypto assets across multiple different chains such as Ethereum (ETH) and Binance Smart Chain (BSC) on Uniswap and PancakeSwap and automate the process of swapping coins, managing liquidity pools, and more by using the Fetch-ai Network AEAs. Just create an agent, a trigger, choose the pairs in your portfolio you want to protect against rug pulls and that’s all, your agent does the work for you through day and night.

4.2 Mobility

  • Deep Parking: The smart parking application of the future. This prototype was demonstrated at the world’s largest automotive conference in Munich, Germany. Tested on a Tesla, Jaguar, and BMW, along with partners - Bosch, Ocean Protocol and Datarella, Deep Parking is an application built upon AI and blockchain technology that finds parking spaces for automobile drivers that were previously unused. Rather than driving into a parking lot hoping to find a space, a Fetch-ai Network digital twin representing your car will search and autonomously communicate with all the local parking spot digital twins to find the nearest available space to your destination and book it for you, before directing you to it. The digital twins negotiate and agree the terms for the parking booking. Once the user has left the parking space, the payment transactions are sent automatically.
  • DDN (Decentralized Delivery Network): Forget Uber, Lyft, Deliveroo and any other centralized service providers you know of. That’s what DDN or decentralized delivery network is about - where you can interact with a service provider, negotiate your price and travel/have items delivered and have this done autonomously on your behalf. The advantages are plenty - you return value to local economies, you have unparalleled level of privacy and everything is decentralized - which means you keep control of your data

4.3 Travel

  • The FET powered Travel marketplace delivers an alternative method by which bookings can be taken: one where the customer and hotels deal with each other directly and as a result offer significant cost savings for both hotels and consumers. It aims to provide an unparalleled level of privacy for all its users by moving the private data away from centralized entities by keeping it safe in each user’s smartphone and a personalized booking experience.

4.4 Supply Chain

  • The partnership between Fetch-ai Network and LiquidChefs aims to utilize Fetch-ai Network’s Autonomous Economic Agents integrated with its Search and Discovery Framework to build local and transparent supply chains, allowing LiquidChefs to search and connect with any sustainable supplier in its immediate vicinity. By digitizing and automating the LiquidChefs supply chain, Fetch-ai Network infrastructure will create a decentralized supply chain marketplace. This marketplace connects buyers and suppliers agents, in real time, to support dynamic, scalable, multi-agent supply chains.
  • This will allow individuals, organizations and assets to be represented as autonomous agents which work autonomously based on the users’ needs and preferences, such as finding local and sustainable suppliers. The decentralized supply chain marketplace was showcased at the Davos World Economic Forum in 2022.

5. Roadmap & Updates

5.1 Completed Milestones

Completion DateMilestoneCommentary
2020: Q3Launch of AtomixMedium Announcement
2021: Q1First stable release of the Agent (AEA) framework v1.0 releasedLink
2021: Q1Fetch-ai Network Mainnet v2.0 launchedLink
2021: Q2FET listed on CoinbaseLink
2021: Q2DeFi Agents (recently renamed to BotSwap) releasedLink
2021: Q2Multi-modal transport demo at IAAMedium Announcement
2021: Q4App demo for ethical and sustainable supply chains showcased at WEF Davos 2022Medium Announcement
2021: Q4FET listed on BitstampLink
2021: Q4FET listed on GeminiTweet
2022: Q1$150M Development fund launchedLink
2022: Q1Resonate.social launchedLink
2022: Q1FET listed on etoroLink
2022: Q1FET listed on VoyagerLink
2022: Q1Fetch-ai Network joins IBC and FET/OSMO listed on Osmosis DEXLink
2022: Q2FET listed on Kraken, Bitpanda,Link
2022: Q2DabbaFlow (CoLearn) launchedLink
2022: Q3Native FET token listed on Binance USTweet
2022: Q340000 new users onboarded to Fetch-ai NetworkLink

5.2 Current Roadmap

2022 Q3-Q4

  • Fetch-ai Network
    • Maintenance upgrade of the Fetch-ai Network for any security patches from the upstream Cosmos SDK releases
    • Eridanus release which will bring support for Group Module, BLS signatures, and cross chain composability using interchain accounts. This will also include patches from the upstream Cosmos SDK releases
  • External Protocol Integrations
    • Integrate with the Axelar bridge to support bi-directional transfer of Axelar supported EVM assets (including popular stablecoins) between the EVM ecosystem and the Fetch Ecosystem
    • Integrate with the SubQuery Indexer protocol to bring fast querying capabilities to the other Fetch-ai Network products such as the Fetch Wallet, and the Fetch Explorer. Additionally, make it available for the Fetch-ai Network Ecosystem projects by providing a Fetch-ai Network hosted indexing service.
  • Products and Tools
    • Fetch Wallet features
      • Integrating wallet to wallet messaging and notification service, including group messaging and group notification support
      • Swap support with integration of the Fetch-ai Network Ecosystem DEX - Starfleit
      • Other Features (non-exhaustive list)
    • Fetch Station Explorer Features
      • Improved UI/UX for general areas such as accounts and governance proposal
      • Ability to query and interact with contracts
      • NFT support
    • AEA - Autonomous Economic Agent framework and ACN - Agent Communication Network
      • Increasing community engagement to gather feedback for future feature development
      • Release improved documentation and education content on AEAs
      • Initial set of Agent component examples and crowdsourced examples for the AEA registry
    • Jenesis shell tool
      • Initial beta release of Jenesis shell tool to provide scaffolding for bootstrapping DApp development on the Fetch-ai Network
  • Ecosystem and Community (non-exhaustive list)
    • Launch Fetch Improvement Proposal (FIP) process
    • Launch of Fetch’s Digital Twin platform applications
    • Launch of Atomix Real-World Asset (RWA) lending protocol on the Testnet
      • Launch of RWA backed stable coin on the Testnet
    • Launch of Fetch-ai Network ecosystem DEX - Starfleit
    • Launch of GetMySlice GDPR compliant data sharing service

2023 Q1-Q2

  • Fetch-ai Network
    • Formax release supporting Cosmos SDK Lambda upgrade (v9)
    • Gemini release supporting Cosmos SDK Epilson upgrade (v10)
  • External Protocol Integrations
    • Add support for generic message passing from the Axelar bridge to support cross chain and cross ecosystem composability
    • Support upstream changes for the Axelar Bridge integration
    • Support upstream changes for the SubQuery Indexer integration
  • Products and Tools
    • Fetch Wallet features
      • Native mobile wallet
      • Bi-directional Open Banking integration
      • Support for EVM chains
      • Swap support for EVM assets using the Axelar Bridge
      • Off-chain decentralized peer-to-peer communication support
      • Wallet based analytics
    • Fetch Station Explorer Features
      • Launch of the Fetch Name Service
    • AEA - Autonomous Economic Agent framework and ACN - Agent Communication Network
      • Improved AEA registry
      • Improved Agent graphical UI
    • Jenesis shell tool
      • Add contract IDE and testing capabilities
  • Ecosystem and Community (non-exhaustive list)
    • Launch of Atomix Real-World Asset (RWA) lending protocol on the Mainnet
    • Launch of RWA backed stable coin on the Mainnet

5.3 Commercial and Business Development Progress

  • Bosch
    • Bosch is working with Fetch-ai Network as part of the launch of a fully functional blockchain network (v2.0 main-net), testing key features on the test-net. Sharing a common vision, the strategic advance engineering project “Economy of Things” (EoT) at Bosch Research and Fetch-ai Network aim to transform existing digital ecosystems using distributed ledger technologies (DLT) like blockchain.
  • Catena X
    • Catena-X is the first integrated, collaborative, open data ecosystem for the automotive industry of the future.
    • Together with other partners, Fetch-ai Network is supporting the Catena-X group in building a digital ecosystem that provides equal collaboration of all the stakeholders by setting up new standards in the automotive value chain along with building greater manufacturing and supply chain efficiency.
  • moveID
    • moveID is part of the Gaia-X 4 Future Mobility project family consisting of five consortia and aims to develop a decentralized digital identity infrastructure for mobility in Europe
    • Together with partners within moveID, Over the next three years, the GAIA-X 4 moveID project is set to develop the necessary standards and technological concepts to enable the secure exchange of information between providers of mobility applications and their customers. The goal is to create decentralized digital vehicle identities. This is an important prerequisite for the mass use of electric vehicles, automated driving, and the establishment of connected cities. GAIA-X 4 moveID is supported to the tune of 14 million euros by the German Federal Ministry for Economic Affairs and Climate Action – covering half of the project costs.
  • IOTA
    • IOTA is an open-source distributed ledger and cryptocurrency designed for the Internet of things.
    • Fetch-ai Network and IOTA’s collaboration enables granular control over data and to reduce the reliance on centralized systems that take advantage of data.
  • LiquidChefs
    • LiquidChefs specialise in the supply of portable bar hire, events bars and mobile cocktails bars, as well as, slick and stylish bartenders and baristas for any private or corporate event
    • This partnership paves the way for increased transparency within supply chains using autonomous economic agents and was showcased at WEF Davos 2022
  • IAA Mobility 2021
    • The IAA (Passenger Cars) event & brand is known as Germany's leading international automotive trade fair.
    • Fetch-ai Network along with its partners — Bosch, Datarella, and Ocean Protocol showcased our exciting collaboration demonstrating the technology involved in Deep Parking. Deep Parking is an application built upon AI and blockchain technology that finds parking spaces for automobile drivers that were previously unused.

6. Team Overview

Humayun Sheikh
Founder and CEO
Entrepreneur, Investor and Visionary | Founding Investor in DeepMind | Founder, CEO of uVue and itzMe | Passionate about Future of Distributed Economy | Key Focus on AI, Machine Learning, Blockchain and Token-based economies
 
Jonathan Ward
CTO
Senior Algorithm Engineer at DNA Electronics, Research Scientist at EMBL, Led development of novel minimal agency consensus protocol that solves node-as-intermediaries problem and makes blockchain viable for financial applications.
 
Kamal Ved
CPO - Fetch-ai Network
Venture Partner at Lunar Ventures, Executive director at brainbot technologies AG, Independent Technology and Business Strategy Consultant at Bosch.
 
Devon Bleibtrey
CPO - Fetch-ai app
Director of Technology at ESG Automotive USA, Director of Product development at Auklet, Co-Funder at Push Display. Advocate of effective team communication and collaboration.
 

7. Community

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The Current State of Cross-Border Trade Settlements

Cross-border payments remain one of the most inefficient parts of global finance. For decades, companies have inter-dependency with banks and their correspondent banks across the world, forcing them to maintain trillions of dollars in pre-funded nostro and vostro balances — the capital that sits idle while transactions crawl across borders.

Traditional settlement is slow, often 1–5 days, and often with ~2-3% in FX and conversion fees. For every hour a corporation can’t access its own cash increases the cost of financing, tightens liquidity that could be used for other purposes, which in turn slows economic activity.

Before SWIFT, payments were fully manual. Intermediary banks maintained ledgers, and reconciliation across multiple institutions limited speed and volume.

SWIFT reshaped global payments by introducing a secure, standardized messaging infrastructure through ISO 20022 - which quickly became the language of money for 11,000+ institutions in 200 countries.

But SWIFT only fixed the messaging — not the movement. Actual value still moves through slow, capital-intensive correspondent chains.

Regulated and Compliant Stablecoin such as USDC (Circle) solves the part SWIFT never could: instant, on-chain settlement.

Stablecoin Settlement revamping Trade and Tokenization

Stablecoin such as USDC is a digital token pegged to the US Dollar, still the most widely used currency for trade, enabling the movement of funds instantly 24*7 globally - transparently, instantly, and without the need for any intermediaries and the need to lock in trillions of dollars of idle cash.

Tokenized settlement replaces multi-day reconciliation with on-chain finality, reducing:

  • Dependency on intermediaries
  • Operational friction
  • Trillions locked in idle liquidity

For corporates trapped in long working capital cycles, this is transformative.

Digital dollars like USDC make the process simple:

Fiat → Stablecoin → On-Chain Transfer → Fiat

This hybrid model is already widely used across remittances, payouts, and treasury flows.

But one critical piece of global commerce is still lagging:

👉 Trade finance.

The Missing link is still Trade Finance Infrastructure.

While payments innovation has raced ahead, trade finance infrastructure hasn’t kept up. Document flows, letters of credit, and supply-chain financing remain siloed, paper-heavy, and operationally outdated.

This is exactly where the next breakthrough will happen - and why the recent XDC Network acquisition of Contour is a silent revolution.

It transforms to a new era of trade-driven liquidity through an end-to-end digital trade from shipping docs to payment confirmation – one infrastructure that powers all.

The breakthrough won’t come from payments alone — it will come from connecting trade finance to real-time settlement rails.

The XDC + Contour Shift: A Silent Revolution

  • Contour already connects global banks and corporates through digital LCs and digitized trade workflows.
  • XDC Blockchain brings a settlement layer built for speed, tokenization, and institutional-grade interoperability and ISO 20022 messaging compatibility

Contour’s digital letter of credit workflows will be integrated with XDC’s blockchain network to streamline trade documentation and settlement.

Together, they form the first end-to-end digital trade finance network linking:

Documentation → Validation → Settlement all under a single infrastructure.

XDC Ventures (XVC.TECH) is launching a Stable-Coin Lab to work with financial institutions on regulated stablecoin pilots for trade to deepen institutional trade-finance integration through launch of pilots with banks and corporates for regulated stable-coin issuance and settlement.

The Bottom Line

Payments alone won’t transform Global Trade Finance — Trade finance + Tokenized Settlement will.

This is the shift happening underway XDC Network's acquisition of Contour is the quiet catalyst.

Learn how trade finance is being revolutionised:

https://www.reuters.com/press-releases/xdc-ventures-acquires-contour-network-launches-stablecoin-lab-trade-finance-2025-10-22/

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Inside The Deal That Made Polymarket’s Founder One Of The Youngest Billionaires On Earth🌍

One year ago, the FBI raided Polymarket founder Shayne Coplan’s apartment. Now, the college dropout is a billionaire at age 27.

In July, Jeffrey Sprecher, the 70-year-old billionaire CEO of Intercontinental Exchange, the parent company of the New York Stock Exchange, sat at Manhatta, an upscale restaurant in the financial district overlooking the sprawling New York City skyline from the 60th floor. As a sommelier weaved through tables pouring wine, in walked Shayne Coplan—in a T-shirt and jeans, clutching a plastic water bottle and a paper bag with a bagel he’d picked up en route. Sprecher chuckles as he recalls his first impression of the boyish, eccentric entrepreneur: “An old bald guy that works at the New York Stock Exchange, where we require that you wear a suit and tie, next to a mop-headed guy in a T-shirt that's 27.” But Sprecher was fascinated by Polymarket, Coplan’s blockchain-based prediction market, and after dinner, he made his move: “I asked Shayne if he would consider selling us his company.”

Prediction markets like Polymarket let thousands of ordinary people bet on future events—the unemployment rate, say, or when BitCoin will hit an all-time high. In aggregate, prediction market bets have proven to be something of a crystal ball with the wisdom of the crowd often proving itself more prescient than expert opinion. For instance, Polymarket punters predicted that Trump would prevail in the 2024 presidential election, when many national pundits were sure that Kamala Harris would win.

Coplan initially turned down Sprecher’s buyout offer. But discussions led to negotiations and eventually a deal. In October, Intercontinental announced it had invested $2 billion for an up to 25% stake in the company, bringing the young solo founder the balance he was looking for. “We're consumer, we’re viral, we're culture. They’re finance, they’re headless and they’re infrastructure,” Coplan tells Forbes in a recent interview.

At the same time, Coplan announced investments from other billionaires including Figma’s Dylan Field, Zynga’s Mark Pincus, Uber’s Travis Kalanick and hedge fund manager Glenn Dubin. A longtime Red Hot Chili Peppers fan, Coplan even convinced lead singer Anthony Kiedis to invest after a mutual acquaintance brought the musician to Coplan’s apartment one day. “He's buzzing my door, and I’m like, ‘holy shit,'” Coplan recalls, his bright blue eyes widening. “I love their music. A lot of the inspiration [for my work] comes from the music that I listen to.”

Thanks to the deals, Polymarket’s valuation quickly shot to $9 billion, making the 2025 Under 30 alum the world’s youngest self-made billionaire, with an estimated 11% stake worth $1 billion. His reign was short: twenty days later, he was overtaken as the youngest by the three 22-year-old founders of AI startup Mercor.

Young entrepreneurs are minting ten-figure fortunes faster than ever. In addition to the Mercor trio and Coplan, 15 other Under 30 alumni—including ScaleAI cofounder Lucy Guo, Reddit’s Steve Huffman and Cursor’s cofounders—became billionaires this year, while Guo’s cofounder Alexandr Wang and Robinhood’s Vlad Tenev (both former Under 30 honorees) regained their billionaire status after having fallen out of the ranks.

The budding billionaire has long been fascinated by markets and tech. When he was just 14, Coplan emailed the regional Securities and Exchange Commission office to ask how to create new marketplaces. “I did not get a response, but it’s a really funny email,” he says, grinning playfully as he thinks of his younger self. “It just shows that this stuff takes over a decade of percolating in your mind.”

Two years later, Coplan showed up at the offices of internet startup Genius uninvited after multiple emails of his asking for an internship went ignored. At age 16—at least a decade younger than anyone in that office—he secured his first job after making a memorable impression with his “wild curls” and “encyclopedic knowledge of billionaire tech entrepreneurs.” “If he chooses to become a tech entrepreneur, which seems likely, I have no doubt that we’ll be seeing his name again in the press before long,” Chris Glazek, his manager at the time, wrote in Coplan’s college recommendation letter.

Coplan went on to study computer science at NYU, but dropped out in 2017 to work on various crypto projects that never took off. In 2020, he founded Polymarket to create a solution to the “rampant misinformation” he saw in the world: The company’s first market allowed users to bet on when New York City would reopen amid the pandemic. He soon expanded into elections and pop culture happenings, among other events.

But it didn’t take long for the company to butt heads with regulators. In January 2022, Polymarket paid a $1.4 million fine to the Commodity Futures Trading Commission for offering unregistered markets. It was also ordered to block all U.S. users, but activity on Polymarket skyrocketed particularly during the 2024 U.S. presidential election, with bets totaling $3.6 billion. A week after the election, the FBI raided Coplan's apartment and seized his devices as part of an investigation into a possible violation of this agreement. Shortly after, Coplan posted on his X account that he saw the raid as “a last-ditch effort” from the Biden administration “to go after companies they deem to be associated with political opponents.”

In July, the Department of Justice and CFTC dropped the investigations—after which Sprecher reached out to Coplan for dinner—and less than a week later, Polymarket announced it had acquired CFTC-licensed derivatives exchange QCX to prepare for a compliant U.S. launch. QCX applied to be a federally-registered exchange in 2022—an application that was left dormant for three years before receiving approval less than two weeks before the acquisition was announced. When asked about the timing of the deal, Coplan points to CFTC acting chairwoman Caroline Pham, who President Trump tapped to lead the agency in January. “Caroline deserves a lot of credit for getting every single license that had been paused for no reason approved, as acting chairwoman in less than a year,” he says. Coplan had realized an acquisition might be the only way for Polymarket to legally operate in the U.S. as early as 2021 due to the lengthy federal approval process, a source familiar with the deal told Forbes.

Just two months after the acquisition and days after Donald Trump Jr. joined Polymarket’s advisory board, the company received federal approval to launch in the U.S. (Trump Jr. has also served as a strategic advisor to Polymarket’s main competitor Kalshi since January.)

Polymarket’s rapid rise has drawn critics. Dennis Kelleher, co-founder and CEO of Washington-based financial advocacy group Better Markets, told Forbes in an email that the current administration’s deregulation around prediction markets has unlocked a regulatory “loophole” to enable “unregulated gambling” under the CFTC, “which has zero expertise, capacity or resources to regulate and police these markets.” Kelleher added that with backing from the Trump family “who are directly trying to profit on this new gambling den
 the massive deregulation and crypto hysteria will almost certainly end badly for the American people.”

Investors and businesses are scrambling to seize the moment of deregulation. “We had opportunities to invest in events markets earlier, but there was a lot of risk,” Sprecher says, listing the regulatory changes in favor of crypto and prediction markets under the current administration. “This was the moment to invest if we wanted to still be early in the space.”

In the last few months, Trump’s Truth Social and sportsbook FanDuel, as well as cryptocurrency exchanges Crypto.com, Coinbase and Gemini all announced their own plans to offer prediction markets. Robinhood CEO Vlad Tenev said prediction markets, which were integrated into its platform in March, were helping drive record activity for the retail brokerage in its third quarter earnings call.

“People are starting to realize right now that the opportunities are endless,” says Dubin, the billionaire hedge fund veteran who invested in Polymarket earlier this year. He points to sports betting companies, which have been regulated by states as gambling activity and taxed accordingly. States like New York can tax up to 51% of sportsbooks’ revenue, but federally-regulated prediction markets can bypass state laws, avoiding taxes and operating in all 50 states. With the realization that prediction markets could upend the sports betting industry—which brought in $13.7 billion in revenue in 2024—businesses are quickly jumping on board despite pushback from state gambling regulators. In October, both Polymarket and Kalshi secured partnerships with sportsbook PrizePicks and the National Hockey League, and Polymarket announced exclusive partnerships with sportsbook DraftKings and the Ultimate Fighting Championship.

The disruption won’t be limited to sports betting. Alongside its investment, Intercontinental’s tens of thousands of institutional clients including large hedge funds and over 750 third-party providers of data will soon have access to Polymarket data, as it gets integrated into Intercontinental’s products such as indices to better inform investment decisions. It also hopes to work with Polymarket to work on initiatives around tokenization—or converting financial assets into digital tokens on blockchain technology—to allow traders on Intercontinental’s exchanges to trade more flexibly at all hours of the day, Sprecher says. What’s more, in November, Google Finance announced it would integrate Polymarket and Kalshi data into its search results, while Yahoo Finance also announced an exclusive partnership with Polymarket.

Despite flashy investors, partnerships and a record $2.4 billion of trading volume in November, Polymarket has yet to launch in the U.S. or turn a profit. Coplan and his investors have hinted at ways the company could make money one day—selling its data, charging fees to users, launching a cryptocurrency token (similar to Ethereum or Bitcoin)—but decline to confirm any specifics. For now, the only thing that’s certain is the bet Coplan is making on himself. “Going for it and having it not pan out is an infinitely better outcome than living your life as a what if,” he says.

Standing across from the New York Stock Exchange building, Coplan tilts his head up as he watches a massive banner with Polymarket’s logo get hoisted onto the exterior of the building. It’s been five years since founding. One year since the FBI raid. He’s taking it all in. “Against all odds,” the bright blue banner reads, rippling in the wind alongside three American flags protruding from the building.

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