Layer 1 Payments Platform CrossFi Secures Tech Patents In Over 180 Countries

bitcoinistОпубліковано о 2025-04-24Востаннє оновлено о 2025-04-24

Анотація

Web3 banking and payment solution CrossFi has secured tech patents for its cutting-edge technologies, including the payments system, its DeFi...

Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

Web3 banking and payment solution CrossFi has secured tech patents for its cutting-edge technologies, including the payments system, its DeFi protocol, and a synthetic tokens decentralized application. 

CrossFi, a leading Web3 payments platform, has announced that the core technological innovations are now patented. The patents are registered in over 180 countries (181 to be exact) and have a 70-year design registration. According to the team, the several patents bond well with the goal of CrossFi becoming a leader in Web3 payments and bridges its mission towards connecting the worlds of decentralised finance (DeFi) and traditional finance (TradFi). 

In addition to protecting their IP with the patents, CrossFi has secured 70-year design registrations for its user interfaces. This is expected to boost the company to the forefront of Web3 innovation and give it a competitive edge in the fintech space. Moreover, getting the patents registered globally validates the originality of CrossFi’s innovations and positions the company as a leader in digital finance.

Alexander Mamasidikov, CEO, Chief Ideologist and Founder of CrossFi, believes the patents and design registrations “mark a significant milestone” for CrossFi and will help transform the company in the future. 

“Each patent has been granted with a 70-year protection period, providing us with robust legal protection and affirming the uniqueness of our innovations,” Mamasidikov added. “There are no comparable technologies in existence today. It is the result of years of focused effort and determination.” 

The patents will help CrossFi protect its innovations and foundational proprietary technologies from any form of infringement, unauthorised imitation or replication in multiple major markets. Some of the foundational proprietary technologies protected by the patents include its eponymous banking app, its infrastructure that seamlessly blends DeFi and TradFi systems, the blockchain-based FastPayments system, the decentralized exchange protocol MPX (Multi-Purpose Exchange), and the xAssets tokenization platform for real-world and synthetic assets. 

The patents also bring CrossFi a step closer to going public, as Mamasidikov shared, following the valuation of the company. 

“While a formal valuation is still ahead of us, this is a defining step on our path toward a future IPO. I’m incredibly proud of what we’ve achieved and inspired by what lies ahead,” he said.

Other IP elements protected under the 70-year design protection include CrossFi’s user interface designs, encompassing its website, mobile app, console dashboard, and blockchain scan tools. This will allow CrossFi to lead Web3 innovation for the foreseeable future and fortify the brand’s distinctive user experience and visual identity. 

In addition, CrossFi has also registered numerous trademarks to ensure exclusive rights to the brand and consistency across all markets. The trademarks cover its Cross Finance, CrossFi, CrossFi Chain, XFI, XFI Scan, XFI Console, MPX, CrossFi xAssets, and CrossFi xAPP.

The latest developments are in line with CrossFi’s goals of providing inclusive, next-generation financial solutions that seamlessly bridge fiat and crypto. The company will feature innovative non-custodial payment technology, allowing users to maintain full control of their funds while enjoying unparalleled access, transparency, and convenience.

In the coming years, CrossFi targets to support purchases at over 100 million+ merchants globally, having already onboarded over 1 million users and launched its Layer-1, EVM-compatible mainnet last year. It will offer a scalable global payment network that combines the security and transparency of blockchain with the stability and user experience of traditional finance.

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.

Bitcoinist is the ultimate news and review site for the crypto currency community!

Трендові криптовалюти

Пов'язані матеріали

Embodied Intelligence 'Gaokao' is Insanely Hard, Humans Score 100, Best Model Only 12.8

Embodied AI Faces a Daunting "Everest": New Benchmark Reveals Huge Gap Between Models and Humans A comprehensive new benchmark for robotic manipulation, RoboDojo, has been released, painting a stark picture of the current state of embodied AI. It serves as a unified evaluation platform covering both simulation and real-world robot tasks. The benchmark assesses five core capabilities: Generalization (adapting to new scenes/objects), Memory, Precision manipulation, Long-Horizon multi-step tasks, and Open semantic understanding. It includes 42 simulation tasks and 18 standardized real-world tasks across three dual-arm robot platforms. The results are sobering. In simulation, the best-performing generalist robot policy achieved an average success rate of only 8.80%. Performance in the real world was slightly higher but still low, with the top model succeeding 12.8% of the time on average. In stark contrast, human experts scored 76.03% in simulation and 100% in real-world tests. The benchmark highlights significant, uneven gaps in current models' abilities. While some excel in specific areas like visual recognition or simple actions, they struggle with reliability, especially in long-horizon tasks where errors accumulate and in open-ended semantic instructions. The low scores, particularly in real-world deployment with physical uncertainties like camera noise and contact dynamics, underscore that today's models are far from being robust, general-purpose operational robots. RoboDojo is more than just a ranking; it's an infrastructure designed for fair, reproducible comparison. Its companion system, XPolicyLab, standardizes the interface for different models to be evaluated. Maintained by an academic consortium without commercial ties, it aims to provide a community-wide "altitude meter" to track genuine progress toward reliable and generalizable robot manipulation.

marsbit1 год тому

Embodied Intelligence 'Gaokao' is Insanely Hard, Humans Score 100, Best Model Only 12.8

marsbit1 год тому

Zuckerberg's 'Mango' Image Generation Model Trails Only GPT Image 2, It Learned to Revise Prompts on Its Own

Meta's MSL has launched Muse Image, an advanced image generation model nicknamed "Mango," which ranks second globally in text-to-image benchmarks, closely trailing OpenAI's GPT Image 2. Its key innovation is agent-like behavior: it searches for factual information, writes code for charts, and, most notably, has developed self-correction abilities through reinforcement learning, allowing it to revise its own outputs without explicit programming. This shift emphasizes reasoning over immediate generation. Integrated with Meta's ecosystem, Mango connects with the Muse Spark language model for complex tasks and features a unique "@" function that can incorporate public Instagram photos into generated images—raising privacy concerns as it's enabled by default. The model is directly accessible in Meta AI, Instagram, and WhatsApp, leveraging Meta's vast user base for distribution rather than competing solely on image quality. Accompanying Mango is the preview of Muse Video, a video generation model with integrated audio, currently ranked third in its category. All Mango-generated images include an invisible, persistent watermark (Content Seal) for AI identification, alongside a public detection tool. While Mango advances "thinking" image models, its use of social data poses new ethical questions about consent and digital boundaries.

marsbit2 год тому

Zuckerberg's 'Mango' Image Generation Model Trails Only GPT Image 2, It Learned to Revise Prompts on Its Own

marsbit2 год тому

Торгівля

Спот

Популярні статті

Як купити LAYER

Ласкаво просимо до HTX.com! Ми зробили покупку Solayer (LAYER) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити Solayer (LAYER).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої Solayer (LAYER)Після придбання Solayer (LAYER) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля Solayer (LAYER)Легко торгуйте Solayer (LAYER) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

330 переглядів усьогоОпубліковано 2025.02.11Оновлено 2026.06.02

Як купити LAYER

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни LAYER (LAYER).

活动图片