Insomnia Labs, a leader in blockchain-powered infrastructure and financial technology, has launched CreatorFi, a platform offering stablecoin-based credit for digital creators built on Avalanche. Debuting with a $12 million credit facility from Kamui Finance and others, CreatorFi reshapes how creators access funding by integrating financial tools directly into the platforms they already use and providing them with seamless, fast, and flexible advances against their future earnings.

Insomnia Labs has built a strong reputation as a premier blockchain partner for enterprises and emerging innovators alike, having worked with major brands including Coca-Cola, L’Oréal, Under Armour, the International Cricket Council (ICC), Michael Mann, and Chubby Group. With the launch of CreatorFi, Insomnia Labs brings its tokenization expertise directly to the creator economy.

Creators—from YouTubers and other content creators to musicians and visual artists—are at the center of one of the fastest-growing industries, projected to reach $1.49 trillion by 2034. Yet, despite this economic potential, most creators remain shut out of mainstream financial services and traditional credit markets. To date, banks have been reluctant to underwrite digital rights, while legacy industry players—like record labels or royalty management firms—often impose predatory terms, demanding up to 80% ownership in exchange for upfront capital. This leaves creators with limited and ineffective alternatives when they need funding to scale production, expand marketing, or launch new projects.

CreatorFi changes that. It gives creators the ability to borrow against future earnings—like YouTube ad revenue, music royalties, or subscription income—using smart underwriting tools and blockchain-based infrastructure. With support for both fiat and stablecoin lending, the platform enables low-cost, global access to credit with real-time, AI-powered underwriting and embedded payments directly through the platforms creators already use.

“Today digital creators generate massive income through their content, yet banks still don’t know how to underwrite these modern revenue streams,” said Billy Huang, CEO of Insomnia Labs. “At Insomnia, we believe creators are building the next generation of global brands. CreatorFi gives them the financing solutions they deserve.”

CreatorFi’s early adoption highlights the clear market demand for financing solutions tailored to the creator economy. Yoola, one of the world’s largest YouTube Multi-Channel Networks (MCNs) working with 1,200+ creators globally—including Spizee, SlivkiShow, Kika Kim, Elsa Arca, RizaNova UZ, Home Animations, MultiDo Challenge, Deny Montana, and others—is among the first organizations adopting the platform.

“At Yoola, we’ve always seen YouTube channels as real, valuable assets. While traditional banks remain skeptical, we recognize the long-term value in creators’ work and future earnings. As an official YouTube partner, we have full visibility into channel analytics and receive YouTube earnings directly before disbursing them to creators. This unique position allows us to offer a safe, transparent, and secure experience for lenders, while giving YouTubers easy access to funds—without the friction of navigating traditional banking relationships. With Insomnia, we’re reshaping creator finance—unlocking growth for creators as well as new opportunities for investors,” said Arseniy Dorofey, Head of Content Partnership and Business Development at Yoola.

“The CreatorFi team is outstanding. They are using blockchain technology to bring winning value to all participants in the network: the creators, the platforms, and the financiers. Harnessing such innovative use of blockchain for our investors is exactly why we are focused on investing in Tokenized RWA. We are proud to be able to support the deployment of CreatorFi and accompany them in their future growth.” said Hadi Kabalan, Director at Kamui Finance.

In the music sector, Record, a royalty infrastructure and intelligence platform powering the financial backbone of global entertainment, is leveraging CreatorFi to offer fair, flexible financing to its enterprise clients. Through advanced data standardization, rights mapping, and embedded payment technologies, Record streamlines complex revenue flows for top artists, rightsholders, and institutional partners.

“We’re replacing outdated systems with infrastructure built for the ever-shifting landscape of IP. CreatorFi is a natural partner in our mission to modernize how creative IP is financed, tracked, and monetized,” said Travis Garrett, CEO & Founder of Record Financial.

Powering CreatorFi with Leading Blockchain Infrastructure

Insomnia Labs has raised an initial $12 million credit facility, with the ability to scale, for CreatorFi to begin offering advances, starting with a $5 million bond program for creators on Yoola’s platform with Kamui Finance. It has also attracted backing from other real-world asset investors like Intrinsic Capital, setting the stage for continued growth as it expands its credit offerings. The platform is built on Avalanche, a high-performance blockchain offering secure, transparent, and scalable infrastructure purpose-built for asset tokenization and the future of finance. CreatorFi joins the growing ecosystem of real, institutional-grade partners and platforms deploying on the Avalanche network.

“CreatorFi marks a new era where creativity becomes collateral,” said Morgan Krupetsky, Head of Institutions & Capital Markets at Ava Labs. “Insomnia Labs’ innovative platform—built on Avalanche’s high-performance infrastructure—is transforming future earnings into real, scalable capital for creators, while making it operationally viable for a new class of investors to participate.”

CreatorFi leverages the Coinbase Developer Platform to manage stablecoin liquidity and streamline the entire disbursement process securely. By precisely controlling and tracking stablecoin funds allocated for creator loans, CDP Wallets orchestrate each payout in an accurate, transparent, and auditable manner. Coinbase Offramp further enhances this efficiency by enabling creators to instantly convert their stablecoin advances into local currencies, providing seamless global access to their capital. This integrated approach simplifies and accelerates creators’ access to funds while offering clear visibility to lenders and institutional partners.

Dan Kim, Head of Strategy, CDP: “Digital creators are today’s businesses: global, always-on, and scaling fast. But the financial system hasn’t caught up. CreatorFi is flipping the script and, with Coinbase infrastructure behind the scenes, is turning views into secure, instant, and global real-world value. This is what the future of finance should look like.”

About Insomnia Labs

Insomnia Labs is an enterprise consumer company building loyalty programs and fintech solutions for large brands and institutions, including Coca-Cola, ICC, Under Armour, L’Oréal, Chubby Group, and others. The firm brings together a group of software and data experts, enabling AI-driven decision-making, monetization, and data sharing for intellectual property and product-driven businesses. For more information, please visit https://www.insomnialabs.io/ and https://creatorfi.finance.

About Yoola

Yoola is a global media and technology company specializing in content monetization and digital rights management for creators across platforms like YouTube, TikTok, and Instagram. As one of the world’s largest multi-channel networks (MCNs), Yoola enables creators to grow, manage, and commercialize their audiences at scale, providing access to advanced analytics, brand partnerships, and localized support in over 15 languages. The company empowers digital talent with the tools and infrastructure to turn content into thriving businesses. For more information, please visit https://yoola.com/

About Kamui Finance

Kamui Finance is a multi-chain institutional investor dedicated to investing in and bringing liquidity to tokenized Real World Assets. It is backed by veteran investors from Goldman Sachs Asset Management, Bessemer Trust, and Blakeney Management, and blockchain pioneers and technologists from Emurgo, CTIA, Mitsubishi Corporation, and Syla Technologies. For more information, please visit https://kamui.finance/

In September 2024, Skywork first open-sourced the Skywork-Reward series models and related datasets. Over the past nine months, these models and data have been widely adopted by the open-source community for research and practice, with over 750,000 cumulative downloads on the HuggingFace platform, helping multiple frontier models achieve excellent results in authoritative evaluations such as RewardBench.

On July 4, 2025, Skywork continues to open-source the second-generation reward models – the Skywork-Reward-V2 series, comprising 8 reward models based on different base models of varying sizes, with parameters ranging from 600 million to 8 billion. These models have achieved top rankings across seven major mainstream reward model evaluation benchmarks.

Skywork-Reward-V2 Download Links
HuggingFace: https://huggingface.co/collections/Skywork/skywork-reward-v2-685cc86ce5d9c9e4be500c84
GitHub: https://github.com/SkyworkAI/Skywork-Reward-V2
Technical Report: https://arxiv.org/abs/2507.01352

Reward models play a crucial role in the Reinforcement Learning from Human Feedback (RLHF) process. In developing this new generation of reward models, we constructed a hybrid dataset called Skywork-SynPref-40M, containing a total of 40 million preference pairs.

To achieve large-scale, efficient data screening and filtering, Skywork specially designed a two-stage human-machine collaborative process that combines high-quality human annotation with the scalable processing capabilities of models. In this process, humans provide rigorously verified high-quality annotations, while Large Language Models (LLMs) automatically organize and expand based on human guidance.

Based on the above high-quality hybrid preference data, we developed the Skywork-Reward-V2 series, which demonstrates broad applicability and excellent performance across multiple capability dimensions, including general alignment with human preferences, objective correctness, safety, resistance to style bias, and best-of-N scaling capability. Experimental validation shows that this series of models achieved the best performance on seven mainstream reward model evaluation benchmarks.

01 Skywork-SynPref-40M: Human-Machine Collaboration for Million-Scale Human Preference Data Screening

Even the most advanced current open-source reward models still perform inadequately on most mainstream evaluation benchmarks. They fail to effectively capture the subtle and complex characteristics of human preferences, particularly when facing multi-dimensional, multi-level feedback.

Additionally, many reward models tend to excel on specific benchmark tasks but struggle to transfer to new tasks or scenarios, exhibiting obvious “overfitting” phenomena. Although existing research has attempted to improve performance through optimizing objective functions, improving model architectures, and recently emerging Generative Reward Models, the overall effectiveness remains quite limited.

We believe that the current fragility of reward models mainly stems from the limitations of existing preference datasets, which often have limited coverage, mechanical label generation methods, or lack rigorous quality control.

Therefore, in developing the new generation of reward models, we not only continued the first generation’s experience in data optimization but also introduced more diverse and larger-scale real human preference data, striving to improve data scale while maintaining data quality.

Consequently, Skywork proposes Skywork-SynPref-40M – the largest preference hybrid dataset to date, containing a total of 40 million preference sample pairs. Its core innovation lies in a “human-machine collaboration, two-stage iteration” data selection pipeline.

Stage 1: Human-Guided Small-Scale High-Quality Preference Construction

The team first constructed an unverified initial preference pool and used Large Language Models (LLMs) to generate preference-related auxiliary attributes such as task type, objectivity, and controversy. Based on this, human annotators followed a strict verification protocol and used external tools and advanced LLMs to conduct detailed reviews of partial data, ultimately constructing a small-scale but high-quality “gold standard” dataset as the basis for subsequent data generation and model evaluation.

Subsequently, we used preference labels from the gold standard data as guidance, combined with LLM large-scale generation of high-quality “silver standard” data, thus achieving data volume expansion. The team also conducted multiple rounds of iterative optimization: in each round, training reward models and identifying model weaknesses based on their performance on gold standard data; then retrieving similar samples and using multi-model consensus mechanisms for automatic annotation to further expand and enhance silver standard data. This human-machine collaborative closed-loop process continues iteratively, effectively improving the reward model’s understanding and discrimination of preferences.

Stage 2: Fully Automated Large-Scale Preference Data Expansion

After obtaining preliminary high-quality models, the second stage turns to automated large-scale data expansion. This stage no longer relies on manual review but uses trained reward models to perform consistency filtering:

• If a sample’s label is inconsistent with the current optimal model’s prediction, or if the model’s confidence is low, LLMs are called to automatically re-annotate;
• If the sample label is consistent with the “gold model” (i.e., a model trained only on human data) prediction and receives support from the current model or LLM, it can directly pass screening.

Through this mechanism, the team successfully screened 26 million selected data points from the original 40 million samples, achieving a good balance between preference data scale and quality while greatly reducing the human annotation burden.

02 Skywork-Reward-V2: Matching Large Model Performance with Small Model Size

Compared to the previous generation Skywork-Reward, Skywork newly released Skywork-Reward-V2 series provides 8 reward models trained based on Qwen3 and LLaMA3 series models, with parameter scales covering from 600 million to 8 billion.

On seven mainstream reward model evaluation benchmarks including Reward Bench v1/v2, PPE Preference & Correctness, RMB, RM-Bench, and JudgeBench, the Skywork-Reward-V2 series comprehensively achieved current state-of-the-art (SOTA) levels.

Compensating for Model Scale Limitations with Data Quality and Richness

Even the smallest model, Skywork-Reward-V2-Qwen3-0.6B, achieves overall performance nearly matching the previous generation’s strongest model, Skywork-Reward-Gemma-2-27B-v0.2, on average. The largest scale model, Skywork-Reward-V2-Llama-3.1-8B, achieved comprehensive superiority across all mainstream benchmark tests, becoming the currently best-performing open-source reward model overall.

Broad Coverage of Multi-Dimensional Human Preference Capabilities

Additionally, Skywork-Reward-V2 achieved leading results in multiple advanced capability evaluations, including Best-of-N (BoN) tasks, bias resistance capability testing (RM-Bench), complex instruction understanding, and truthfulness judgment (RewardBench v2), demonstrating excellent generalization ability and practicality.

Highly Scalable Data Screening Process Significantly Improves Reward Model Performance

Beyond excellent performance in evaluations, the team also found that in the “human-machine collaboration, two-stage iteration” data construction process, preference data that underwent careful screening and filtering could continuously and effectively improve reward models’ overall performance through multiple iterative training rounds, especially showing remarkable performance in the second stage’s fully automated data expansion.

In contrast, blindly expanding raw data not only fails to improve initial performance but may introduce noise and negative effects. To further validate the critical role of data quality, we conducted experiments on a subset of 16 million data points from an early version. Results showed that training an 8B-scale model using only 1.8% (about 290,000) of the high-quality data already exceeded the performance of current 70B-level SOTA reward models. This result again confirms that the Skywork-SynPref dataset not only leads in scale but also has significant advantages in data quality.

03 Welcoming a New Milestone for Open-Source Reward Models: Helping Build Future AI Infrastructure

In this research work on the second-generation reward model Skywork-Reward-V2, the team proposed Skywork-SynPref-40M, a hybrid dataset containing 40 million preference pairs (with 26 million carefully screened pairs), and Skywork-Reward-V2, a series of eight reward models with state-of-the-art performance designed for broad task applicability.

We believe this research work and the continued iteration of reward models will help advance the development of open-source reward models and more broadly promote progress in Reinforcement Learning from Human Feedback (RLHF) research. This represents an important step forward for the field and can further accelerate the prosperity of the open-source community.

The Skywork-Reward-V2 series models focus on research into scaling preference data. In the future, the team’s research scope will gradually expand to other areas that have not been fully explored, such as alternative training techniques and modeling objectives.

Meanwhile, considering recent development trends in the field – reward models and reward shaping mechanisms have become core components in today’s large-scale language model training pipelines, applicable not only to RLHF based on human preference learning and behavior guidance, but also to RLVR including mathematics, programming, or general reasoning tasks, as well as agent-based learning scenarios.

Therefore, we envision that reward models, or more broadly, unified reward systems, are poised to form the core of AI infrastructure in the future. They will no longer merely serve as evaluators of behavior or correctness, but will become the “compass” for intelligent systems navigating complex environments, helping them align with human values and continuously evolve toward more meaningful goals.

Additionally, Skywork released the world’s first deep research AI workspace agents in May, which you can experience by visiting: skywork.ai

W Chain, a leading innovator in blockchain-powered financial infrastructure, has officially launched W Swap, a next-generation decentralised exchange (DEX) built natively on the W Chain blockchain. This milestone is complemented by the debut of WAVE, the protocol’s high-yield incentive token designed to power sustainable decentralised finance (DeFi) growth. Since its launch on 17 June 2025, W Swap has experienced remarkable early momentum, with daily transaction volumes surging from just 100 pre-launch to 4,520 on 22 June, signalling strong community interest and early adoption across key markets.

Built on W Chain’s high-throughput, low-fee Layer-1 blockchain, W Swap employs an Automated Market Maker (AMM) model that enables efficient liquidity provision through initial pools such as WCO/USDT and WAVE/WCO. Liquidity providers earn 0.3% trading fees, distributed via LP tokens, while also benefiting from elevated WAVE emissions—particularly during the early adoption phase. The architecture has been optimised for ease of use, capital efficiency, and accessibility for both experienced DeFi users and newcomers.

The WAVE token, which launched staking functionality on 20 June 2025, is the cornerstone of W Chain’s incentive structure. Users can stake LP tokens to earn WAVE in addition to trading fees, or directly stake WAVE tokens themselves to earn projected yields of up to 700% APR. Within weeks of launch, WAVE is already trading at 300% above its initial price, a reflection of strong market demand and effective tokenomics. Furthermore, 10% of all emissions are directed to a protocol-owned treasury, ensuring “unruggable” liquidity and reinforcing W Chain’s commitment to long-term sustainability.

Community feedback has been overwhelmingly positive, highlighting both the usability and performance of the platform. One early user, Danny, commented: “W Swap is just what we’ve all been waiting for—fast, slick, and a great starting point for W Chain’s journey into DeFi. We can now bridge from Ethereum and BNB Chain into W Chain and farm using the Wave platform. Currently, the APRs are massive, and we’re building our bags. A great project with a great team to work with.”

Echoing this sentiment, Gary, another active community member, noted: “W Swap has a clean, crisp UI that is simple to understand—even the less experienced members of the crypto community will find it easy to use. We’re still early in terms of adoption, but as more trading pairs are added, the platform will become even more appealing. W Swap ties seamlessly into the farming, bridge, and pooling functionalities.”

Looking ahead, W Chain is preparing to roll out its next major protocol upgrade—WSWAP v4—targeted for Q4 2025 to Q1 2026. This version will incorporate significant enhancements inspired by Uniswap v3, including concentrated liquidity, multiple fee tiers, non-fungible LP positions, and a time-weighted average price (TWAP) oracle. These core upgrades will vastly improve capital efficiency and integration capabilities across the DeFi stack.

Beyond the foundational features, WSWAP v4 will introduce several advanced innovations aimed at extending functionality and improving user experience. These include a Hooks Framework to enable programmable logic during swap and liquidity events; a Dynamic Range Auto-Rebalancer offering passive and active liquidity strategies; and an ERC-20 LP Token Wrapper to allow NFT LP positions to be used across lending, staking, and yield farming applications. Additional improvements include fee booster mechanics, staking integration with WAVE and WCO, gas-optimised smart contracts, cross-pool routing, and DAO-governed extensibility for secure and flexible protocol evolution. Real-time analytics, profit tracking, and integration with W Chain’s native oracle layer will further enhance transparency and capital decision-making.

With a clear roadmap, rapidly growing user base, and high-performing DeFi primitives already live, W Chain is positioning itself as a leading platform for decentralised finance in Asia-Pacific and beyond. The combination of strong infrastructure, user-centric design, and high-yield opportunities provides a compelling case for liquidity providers, yield farmers, and developers alike.

For more information on 
W Swap – https://app.w-swap.com/#/
Wave – https://wave.w-chain.com/

About W Chain

W Chain is an innovative leader in blockchain technology, developing secure and efficient payment solutions for businesses and individuals worldwide. With a focus on combining the benefits of both public and private blockchain networks, W Chain Network is creating a next-generation platform for global payments, smart contracts, and decentralised finance.

For more information, please visit, https://w-chain.com/

In a bold move that redefines the future of online gambling, Bitcino Casino has integrated Mr.House a groundbreaking AI-driven management platform into its crypto casino infrastructure. Built as a fully autonomous operational layer for iGaming platforms, Mr.House is an independent, intelligent entity now being deployed by Bitcino to automate, optimize, and scale every aspect of casino operations.

As the first casino to adopt Mr.House’s full suite of tools, Bitcino is leading the charge in bringing AI-powered automation to the crypto gambling industry blending performance, innovation, and user-centric design in a way no traditional platform can match.

What is Mr.House?

Mr.House is an advanced network of AI agents purpose-built for online casinos and sportsbooks. Designed to run 24/7 with zero downtime, Mr.House handles everything from dynamic marketing and SEO to risk management, player engagement, and affiliate automation all without human intervention.

Bitcino is the first casino to fully integrate Mr.House’s capabilities, instantly setting a new standard in the world of decentralized online gambling.

Core functions include:

• Targeted marketing across Telegram, Discord, and Twitter/X 
• Personalized live chat support and player interaction 
• Real-time sportsbook odds and automated betting suggestions 
• Custom bonus delivery based on player behavior and game history 
• Automated affiliate and referral program tracking 
• Intelligent content generation for SEO growth 
• Ongoing fraud detection and risk-managed bankroll allocation

Bitcino: The First Mr.House-Powered Crypto Casino

Bitcino is a fully anonymous, no-KYC, crypto-based casino and sportsbook offering high-speed gameplay, fast crypto transactions, and global access. With Mr.House embedded into its core systems, Bitcino now delivers a completely reimagined online gambling experience smarter, faster, and more responsive than ever before.

Bitcino’s standout features include:

• A rich library of provably fair casino games, including slots, blackjack, roulette, live dealer tables, and crypto-native games like Crash and Plinko 
• Support for major cryptocurrencies with instant deposits and withdrawals 
• Fully AI-managed referral and affiliate programs, allowing users to earn from every dollar wagered by players they invite 
• A unique revenue-sharing token model, distributing 50% of platform profits to token holders 
• Real-time platform optimization, bonus tuning, and content updates — all powered by Mr.House

Referral Rewards Reimagined

With Mr.House overseeing Bitcino’s affiliate and referral infrastructure, both users and partners can benefit from a seamless, performance-driven system. Affiliates earn up to 30% of profit generated by their referred players, while regular users earn a share of total wagering volume creating a sustainable, long-term incentive for community growth.

This smart referral structure offers a competitive edge over traditional casino affiliate programs, thanks to its real-time tracking and transparent payouts.

Mr.House and Bitcino: A New Era for Crypto Casinos

As Mr.House prepares for broader deployment across the iGaming space, Bitcino stands as the flagship example of what’s possible when AI is given full operational control of a casino platform. The partnership doesn’t just improve efficiency it redefines the player experience, removes human bottlenecks, and enables Bitcino to scale globally with minimal friction.

By integrating bleeding-edge technology and focusing on key concepts such as:

• Crypto casino 
• Bitcoin gambling 
• No KYC casino 
• Fast payout casino 
• Online casino referral program 
• Decentralized sportsbook 
• AI-powered online casino

.. Bitcino is rapidly establishing itself as a dominant force in the online gambling space, building a strong and unmistakable identity that resonates with players worldwide.

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Whether you’re a player looking for fast, private, and fair crypto gambling, or a partner ready to monetize your traffic with real earning potential, Bitcino Casino offers an experience like no other fully optimized by AI, fully built for Web3.

Check out Bitcino and stay connected:

Visit the official site: bitcino.com
Explore the latest sports insights on the blog: betting.bitcino.com/
Follow us on Twitter/X for real-time updates: x.com/bitcinocasino

TradeVault Inc. has announced the official launch of Holos, a next-generation marketplace redefining how real-world assets are traded and valued. Built on a tokenized infrastructure, Holos enables instant, global exchange of physical asset value—starting with high-value collectibles like Pokémon cards.

Holos leverages NFT RWA (Real World Asset) technology to convert physical items into blockchain-verified tokens. Users can buy, sell, and hold these tokens worldwide, without shipping or inspection, until they choose to redeem the physical item.

Holos is currently running a high-value Pokémon card giveaway.
Visit: https://holos-market.com/

Setting a New Standard for Physical Asset Trading

Each NFT on Holos is backed 1:1 by a physical item securely stored in Japan. When users tap “Deliver,” the NFT is burned via smart contract and the real item is shipped globally. This eliminates barriers like customs delays, counterfeiting, and logistical risk.

Holos aims to shift the paradigm from moving physical goods to transferring verified digital ownership—enabling seamless, trusted, and transparent value exchange.

Key Features:

• Instant Tokenization: Japan-exclusive Pokémon cards are digitized on launch day, giving global users early access to scarce assets.
• User-Friendly: Wallets are created automatically at signup. Users can pay with crypto or credit cards. Web3 jargon like “NFT” or “burn” is replaced with intuitive Web2 terms.
• Secure Custody: All items are authenticated and insured, stored via partnerships with Japan’s top card shops at Terrada Warehouse in Tokyo.
• Proven Infrastructure: Built on the Polygon blockchain, with over 4 million transactions processed to date.
• Non-Custodial by Design: Holos never holds user wallets or assets. All processes are handled on-chain with audited smart contracts.

Snapshot:

• Tokenized assets at launch: Hundreds of Pokémon cards
• Blockchain: Polygon (4M+ transaction capacity)
• Custody partner: Terrada Warehouse, Japan
• Redemption: NFT burn triggers global shipping (region-limited)

Looking Ahead

With the collectibles market expected to exceed $80 billion, Holos is expanding beyond trading cards to include luxury watches, fine art, sneakers, and precious metals. By bridging intuitive design with blockchain precision, Holos aims to become core infrastructure for the growing global RWA ecosystem.

Official Website: http://holos-market.com/
X (Twitter): https://x.com/HolosMarket_io

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Connamara Technologies, the leader in fully-integrated end-to-end exchange technology, is pleased to announce that its EP3 exchange infrastructure solution is the technology choice of Figure Markets, a leader in decentralized finance. Figure Markets successfully launched its innovative DeFi marketplace on March 20, 2024.

Figure Markets is Building the Exchange for Everything

Figure Markets is democratizing finance through the blockchain by building an exchange for everything – a decentralized custody marketplace for crypto, stocks, bonds, credit and more. The exchange combines leverage, margining, and liquidity with extensive borrowing options and unique investment opportunities. Decentralized custody ensures that exchange members have control of their own assets and data.

In February 2025, Figure Markets launched the first interest-bearing transferable stablecoin (YLDS) native to a public blockchain, registered with the Securities and Exchange Commission.

EP3 is Powering a New Breed of Exchanges

EPS is a cloud-first, end-to-end exchange and clearing solution seamlessly integrating all key functions into a single, robust platform, including market access, market-data distribution, order matching and execution, exchange operations and administration, risk management, market surveillance, regulatory reporting, clearing, and settlement.

It is purpose-built for the next generation of exchanges and marketplaces, with technology that is quick-to-market, cost-accessible, and easily adaptable to traditional asset classes as well as new asset classes. These include equities, futures, crypto, tokenized assets, events, sports, and more.

EP3 is powering exchanges around the globe, including predictions exchange ForecastEx (a wholly-owned subsidiary of Interactive Brokers), Brazilian tokenized equities exchange BEE4, and digital assets infrastructure platform ZeroHash.

Figure Markets Head of Product – Exchange Randy Myers: “We’re impressed by Connamara’s ability to meet our exacting requirements with EP3 and deliver customized exchange technology tailored to our self-custody model. As Figure Markets expands its product offerings and customer base, we expect to lean on EP3 to help accelerate our growth.”

Connamara Technologies CEO Jim Downs: “It’s a privilege to work with the team at Figure Markets. They are a team of professionals that are bridging the gap between DeFI and TradFi. We are grateful for their trust. We’ve enjoyed the challenge of working together to build this exciting new marketplace and look forward to witnessing their continued success.”

About Connamara Technologies and EP3

Connamara Technologies is the only provider of end-to-end, cloud-first fully-integrated exchange infrastructure technology, empowering new and existing exchanges to operate with exceptional efficiency and reliability via its EP3 exchange and clearing platform. Engineered for the evolving needs of the next generation of exchanges and marketplaces, EP3 is shaping the future of financial markets.

About Figure Markets

Figure Markets is democratizing finance through blockchain. The company is building the exchange for everything – a decentralized custody marketplace for crypto, stocks, bonds, credit, and more. By offering best-in-class leverage, margin trading, and liquidity, Figure Markets provides members with extensive borrowing options and unique investment opportunities. With its decentralized custody exchange, it puts members in control of their own assets and data, disintermediating legacy brokers, exchanges and lenders.

Figure Markets is backed by leading venture capital firms and strategic partners, including Jump Crypto, Pantera, Distributed Global, Faction Lightspeed, NewForm Capital and CMT Digital. Figure Markets was founded by a seasoned team of entrepreneurs and operators from TradFi, fintech, and DeFi, including Mike Cagney and June Ou.

This press release shall not constitute an offer to sell or a solicitation of an offer to buy the foregoing securities. Registration with the SEC means that the SEC has made the offering effective. The SEC has not approved or disapproved these securities, nor have they passed upon the accuracy or adequacy of this offering.

For more information about Figure Markets, visit www.figuremarkets.com
For more information about Connamara, visit www.connamara.tech

MEY Network has announced the launch of its Property Token Offering (PTO) NFTs, a blockchain-based solution designed to facilitate fractional ownership of high-value real estate assets across global markets.

The initiative aims to increase accessibility to premium real estate by allowing individuals to invest in tokenized property shares. Each PTO NFT represents a verified fraction of a real-world property, offering holders exposure to potential rental income, capital appreciation, and the ability to trade their assets on supported secondary marketplaces.

Real estate has traditionally been accessible only to institutional investors and high-net-worth individuals,” said a spokesperson for MEY Network. “With PTO NFTs, we are introducing a model that broadens access while leveraging blockchain for transparency and liquidity.

Key Features of PTO NFTs include:

• Fractional Ownership: Users can invest in property shares at significantly lower entry points compared to traditional real estate.
• Income Potential: Holders may receive a portion of rental distributions, depending on property performance.
• Liquidity: Tokenized shares are tradeable on compatible NFT marketplaces, allowing flexible entry and exit.
• Global Reach: Over 40 tokenized properties are currently available across major cities worldwide.

Whitelist Access for Early Participants

To coincide with the launch, MEY Network has opened a limited whitelist round. Participants in this phase will gain early access to select property offerings and benefit from initial pricing not available after the public launch. Additional incentives include potential staking rewards and ecosystem-based benefits.

About MEY Network

MEY Network is a decentralized real-world asset (RWA) platform focused on tokenizing global real estate. The platform provides infrastructure for secure, compliant, and transparent property investments through blockchain technology. With its PTO NFT model, MEY Network aims to bridge the gap between traditional real estate and the emerging digital asset economy.

Microsoft-backed Space and Time is the blockchain for ZK-proven data.

Space and Time, the Microsoft-backed blockchain for zero-knowledge (ZK)-proven data, is live on its public, permissionless mainnet.

Space and Time is designed to deliver ZK-proven data to smart contracts to power a new generation of data-driven crypto applications. It indexes data from other major blockchains, including Ethereum, and stores it across a decentralized network of database validators. Developers can access, query ZK-prove and connect this data back to their smart contract using Proof of SQL, Space and Time’s sub-second ZK coprocessor for SQL database queries.

“Prior to Space and Time, onchain applications had no way to query basic user data from a database of blockchain activity without introducing security risks and tampering. In addition, enterprises had no way to securely connect their cloud databases with smart contracts. Today we’re thrilled to announce the mainnet launch of Space and Time, which will empower developers to build sophisticated, data-driven onchain applications secured by cryptographic proofs,” said Scott Dykstra, Contributor #001 at Space and Time.

Smart contracts today can’t natively access historical, cross-chain or offchain data, which limits the complexity of onchain apps. Chainlink pioneered external data access for smart contracts with secure oracles and cross-chain messaging, solving key pieces of the context problem. The next wave of onchain innovation—spanning everything from dynamic financial instruments to data-rich AI agents and tokenized real-world systems—will require a trustless database layer for complex data retrieval. Space and Time enables this with a verifiable, decentralized database network that gives smart contracts the ability to query the full history of Ethereum and beyond.

“Smart contracts need context to make decisions, whether it’s real-time market data, cross-chain messaging or historical onchain activity. Chainlink provides the connective tissue for data to move securely across systems, and Space and Time brings powerful new compute capabilities that complement that vision. Together, we’re pushing the boundaries of what developers can build onchain,” said Sergey Nazarov, Co-Founder of Chainlink.

Space and Time was created by MakeInfinite Labs, a frontier protocol research lab that is backed by Microsoft and working alongside major financial institutions. In addition to its work on Space and Time, the firm has developed key technologies to the broader crypto ecosystem, such as Proof of SQL, Blitzar, an Elastic Network ZK Chain for Space and Time, and Chainlink DeFi Yield Index.

“At MakeInfinite Labs, we’re focused on building foundational infrastructure to enable the next generation of crypto applications. Contributing core technologies like Proof of SQL and the original architecture of Space and Time is part of that vision. We’re excited to see the ecosystem take this work forward and unlock new possibilities for verifiable, data-driven applications,” said Nate Holiday, CEO of MakeInfinite Labs & Co-Founder of Space and Time.

Space and Time is secured by a decentralized set of validators, and anyone can contribute to the network by providing high-quality datasets, staking or running a validator node.

About Space and Time

Space and Time is the blockchain for ZK-proven data, which enables smart contracts to trustlessly access and compute over data from any chain or source. Powered by Proof of SQL, a sub-second ZK coprocessor, Space and Time empowers developers to build more intelligent, data-rich applications with verifiable data.

About MakeInfinite Labs

MakeInfinite Labs is a frontier protocol research lab contributing to some of the most prominent protocols and ecosystems across crypto, including the creation of Space and Time. MakeInfinite Labs raised $50 million from Microsoft’s M12 Ventures and other leading investors to build the infrastructure that enables developers and creators to build data-driven applications, tokenize and monetize and win in the AI economy.

Over the past decade, blockchain innovation has largely revolved around infrastructure. From the rise of Layer 1 protocols and decentralized finance (DeFi) to recent developments in real-world asset tokenization (RWA), technical progress has been both rapid and expansive.

Yet even with over $90 billion in DeFi total value locked (TVL) as of early 2025, mainstream adoption remains elusive. For many consumers, interacting with crypto still involves unfamiliar interfaces, unclear value propositions, and a lack of integration with daily financial behavior. This usability gap has major implications beyond convenience – it limits the reach of even the most technically advanced protocols. Projects struggle not because the tech isn’t working, but because users can’t connect with it.

From Architecture to Access

In response, a new generation of crypto companies is emerging – those that build not at the protocol layer, but at what could be called the experience layer. These ventures prioritize user experience, real-world utility, and embedded financial services over purely technical innovation.

While this shift may challenge the ideals of crypto purists – the builders, maximalists, and mission-driven technologists who shaped the early industry – it reflects a growing consensus that adoption won’t come from ideology alone. Success will depend on delivering intuitive, credible experiences that fit naturally into users’ financial lives.

EB1: Bridging Digital Wealth with Real-World Access

One company illustrating this shift is EB1, a crypto-native venture set to launch its core products in Q3 2025. EB1’s mission is to bridge digital wealth with real-world access by building a seamless interface between on-chain value and off-chain experiences.

At the core of the EB1 platform are three interconnected components:

• EB1 Pay – a crypto-native payment solution with real-time crypto-to-fiat spending via the EB1 Visa Card
• EB1 Premium Services – in-app access to a curated range of lifestyle, travel, and concierge offerings
• EB1 Network – a private community designed to deliver tangible value through member connections

The team behind EB1 draws on extensive experience across payments, digital assets, luxury services, and high-growth product development, with backgrounds at firms like PwC, CVC Credit Partners, and other leading financial institutions.

The Paradigm Shift: From Protocols to Products

Historically, many tokenized projects have launched with minimal utility, often sustained more by speculative enthusiasm than by real-world adoption. This model can distort focus, pushing teams toward sustaining market hype rather than solving user problems.

EB1 takes a different approach. Early-stage development has been funded by the team and select aligned seed investors. Rather than raising capital on promises, EB1 has chosen to build, test, and monetize early – ensuring that any future public fundraising is grounded in demonstrated user traction and clear value creation.

This approach reflects a broader shift in philosophy across the crypto space: the future will belong not to the most technically intricate protocols, but to the products that deliver meaningful, accessible experiences at scale.

Looking Ahead

The broader takeaway isn’t just about EB1 – it’s about where crypto is going next. Infrastructure remains critical, but without intuitive interfaces and clear benefits, users won’t come.

Companies that succeed in the next wave will meet users where they are: mobile-first, always-on, and expecting financial tools that match the polish and convenience of leading consumer fintech products. In that sense, the real innovation may not lie in the next Layer 2 or staking primitive, but in delivering useful, credible, and profitable experiences to millions of people.

To stay updated on what we’re building at EB1, follow us on social media, visit EB1.io, or reach out directly if you’re interested in partnership opportunities.