El Banco de Inglaterra recurre a Polygon para la segunda fase de pruebas de la libra digital

cryptonews.ruPublished on 2026-08-12Last updated on 2026-08-12

Abstract

El Banco de Inglaterra ha seleccionado a Polygon Labs, NOBO Finance y Dun & Bradstreet para la segunda fase de su Laboratorio de Libra Digital (Digital Pound Lab). El objetivo es probar cómo la libra digital del banco central y las stablecoins privadas pueden mejorar los pagos en transacciones comerciales transfronterizas, un proceso actualmente lento y costoso, especialmente para las pymes exportadoras. El consorcio trabajará en dos proyectos. El primero es un "perfil crediticio apto para bancos" que permite a las pymes compartir datos de manera eficiente con múltiples prestamistas, utilizando la gestión de riesgos de Dun & Bradstreet y contratos inteligentes de Polygon. El segundo proyecto explora cómo las empresas pueden obtener pagos anticipados usando documentos de envío como garantía, con Polygon desarrollando las stablecoins necesarias. El Banco subraya que se trata de una prueba de concepto sin clientes ni dinero real. Tras una primera fase exitosa, esta nueva etapa incorpora datos comerciales y la cadena de bloques de Polygon para mayor seguridad. La red de Polygon, que procesó 743 millones de transacciones en el segundo trimestre de 2026, manejará las conversiones y pagos. Los resultados de esta fase se evaluarán a finales de 2026 para decidir los próximos pasos.

El Banco de Inglaterra ha seleccionado a las empresas Polygon Labs, NOBO Finance y al proveedor de datos comerciales Dun & Bradstreet para llevar a cabo la siguiente fase de su programa Digital Pound Lab.

Estas empresas están probando cómo la libra digital del banco central y las stablecoins privadas pueden utilizarse para liquidar diferentes partes de una misma operación comercial transfronteriza.

¿Qué problema intenta resolver el Banco de Inglaterra?

Para las pequeñas empresas dedicadas a la exportación e importación de bienes, la financiación del comercio sigue siendo un proceso lento y costoso debido a la verificación por múltiples partes y a que los pagos pueden tardar varios días. Las grandes empresas pueden permitirse este retraso gracias a sus operaciones de tesorería, pero las pequeñas firmas se enfrentan a una escasez de efectivo entre el envío de la mercancía y el cobro del pago.

El Banco de Inglaterra intenta resolver este problema utilizando distintas formas de dinero digital que trabajen conjuntamente.

El consorcio , que incluye a Polygon Labs, NOBO Finance y Dun&Bradstreet, seleccionado por el Banco, está implementando dos proyectos interrelacionados dentro del programa experimental del banco central.

El primer enfoque crea un perfil que las pequeñas y medianas empresas pueden utilizar al acudir a distintos prestamistas, en lugar de tener que presentar los mismos documentos una y otra vez —el llamado "Perfil Bancable para PYMEs".

La empresa Dun & Bradstreet se encarga del procesamiento de datos de riesgo en este proyecto, y Polygon Labs proporciona servicios de ejecución de "contratos inteligentes".

Polygon también está desarrollando stablecoins para el segundo proyecto, en el que se examina cómo las empresas pueden obtener pagos anticipados de facturas utilizando como colateral documentos de envío en formato digital.

El perfil de un posible prestatario PYME se crea combinando tres fuentes de datos: señales de transacciones en billeteras electrónicas, datos de mercados financieros abiertos y los registros comerciales de Dun & Bradstreet.

¿Ya se ha lanzado la libra digital?

El Banco de Inglaterra ha dejado claro que en el laboratorio no se utilizan clientes reales ni dinero real. Participar en estas pruebas tampoco implica ninguna decisión sobre la emisión de una libra digital.

La empresa fintech británica NOBO pasó a la segunda fase tras completar con éxito la primera, que implementó pagos B2B condicionales a través de cuentas de garantía. En esta nueva fase se utilizan datos comerciales de Dun & Bradstreet y la tecnología blockchain de Polygon para mejorar la seguridad y la eficiencia.

Polygon procesa los pagos en stablecoins a través de su plataforma Open Money Stack, que gestiona la conversión de monedas fiduciarias a stablecoins, las billeteras y las liquidaciones.

La red Polygon procesó 743 millones de transacciones en el segundo trimestre de 2026, un 160% más que en el mismo período del año anterior. Como informa Cryptopolitan, este crecimiento fue impulsado principalmente por transferencias de stablecoins. Hasta la fecha, Polygon ha liquidado transacciones de stablecoins por un valor de más de 2,6 billones de dólares y colabora con empresas como Revolut y Stripe.

Los resultados de esta segunda fase servirán de base para que el Banco y el Tesoro del Reino Unido evalúen la libra digital antes de tomar nuevos pasos a finales de 2026.

Trending Cryptos

Related Questions

Q¿Qué empresas fueron seleccionadas por el Banco de Inglaterra para la segunda fase de su programa Digital Pound Lab?

AEl Banco de Inglaterra seleccionó a Polygon Labs, NOBO Finance y al proveedor de datos comerciales Dun & Bradstreet para la siguiente fase de su programa Digital Pound Lab.

Q¿Qué problema específico intenta resolver el Banco de Inglaterra con esta prueba?

AEl Banco de Inglaterra intenta resolver los problemas de lentitud y alto costo en el financiamiento comercial para las pequeñas empresas exportadoras e importadoras, causados por verificaciones múltiples y pagos que pueden tardar varios días.

Q¿Cuál es la función del "Perfil Bancario para PYMES" en el proyecto?

AEl "Perfil Bancario para PYMES" crea un perfil que las pequeñas y medianas empresas pueden utilizar al acudir a diferentes prestamistas, evitando tener que presentar los mismos documentos repetidamente.

Q¿Se está utilizando dinero real o clientes reales en estas pruebas del Banco de Inglaterra?

ANo, el Banco de Inglaterra ha dejado claro que el laboratorio no utiliza clientes reales ni dinero real. La participación en las pruebas no implica una decisión definitiva sobre la emisión de la libra digital.

Q¿Cuándo se evaluarán los resultados de esta segunda fase para decidir los siguientes pasos?

ALos resultados de la segunda fase servirán de base para que el Banco de Inglaterra y el Tesoro del Reino Unido evalúen la libra digital antes de decidir los próximos pasos a finales de 2026.

Related Reads

Bitcoin Price Drops to $62,470 as Sellers Retest $63,000 Support Level

Bitcoin's price fell below $63,000 for a second consecutive day on Friday, hitting an intraday low of $62,470. The cryptocurrency later recovered to trade just above $63,000, leaving it nearly flat for the past 24 hours and for August overall, with a weekly loss of 2.6%. The volatility triggered significant liquidations, with $26 million of leveraged long Bitcoin positions liquidated over 24 hours. Market sentiment was further dampened by data showing over $131 million in outflows from spot Bitcoin ETFs for a second straight day, signaling a potential pullback by institutional investors. Adding to the negative pressure, index provider MSCI has proposed new criteria for "non-operating companies" in its global indexes, which could lead to the exclusion of firms holding significant digital assets like Bitcoin on their balance sheets. Companies such as Strategy and Metaplanet could be affected, potentially forcing index-tracking funds to sell their shares. Strategy publicly criticized the proposal, arguing digital assets are legitimate assets and index providers should not dictate what companies can own. Public consultations on MSCI's proposal end September 30, with a final decision expected by October 16. If approved, exclusions could begin in November, potentially triggering sustained institutional selling and damaging a key bridge for Bitcoin adoption in the corporate sector.

cryptonews.ru19m ago

Bitcoin Price Drops to $62,470 as Sellers Retest $63,000 Support Level

cryptonews.ru19m ago

Trading

Spot

Hot Articles

What is $BANK

Bank AI: A Revolutionary Step in the Future of Banking Introduction In an era marked by rapid advancements in technology, Bank AI stands at the intersection of artificial intelligence (AI) and banking services. This innovative project seeks to redefine the financial landscape, enhancing operational efficiency, security measures, and customer experiences through the power of AI. As we embark on this exploration of Bank AI, we will delve into what the project entails, its operational dynamics, its historical context, and significant milestones. What is Bank AI? At its core, Bank AI represents a transformative initiative aimed at integrating artificial intelligence into various banking operations. This project harnesses the capabilities of AI to automate processes, improve risk management protocols, and enhance customer interaction through personalised services. The primary objectives of Bank AI include: Automation of Banking Functions: By leveraging AI technologies, Bank AI aims to automate routine tasks, reducing the burden on human resources and enhancing efficiency. Enhanced Risk Management: The project utilises AI algorithms to predict and identify risks, thereby fortifying security measures against fraud and other threats. Personalisation of Banking Services: Bank AI focuses on offering tailored financial products and services by analysing customer data and behaviours. Improving Customer Experience: The implementation of AI-driven solutions, such as chatbots and virtual assistants, aims to provide users with more human-like interactions, revolutionising the way customers engage with banks. With these goals, Bank AI positions itself as a crucial player in rendering banking more efficient, secure, and user-centric. Who is the Creator of Bank AI? Details regarding the creator of Bank AI remain unknown. As such, no specific individual or organisation has been identified in the available information. The anonymity surrounding the project's inception raises questions but does not detract from its ambitious vision and objectives. Who are the Investors of Bank AI? Similar to the project's creator, specific information regarding the investors or supporting organisations of Bank AI has not been disclosed. Without this information, it is challenging to outline the financial backing and institutional support that might be propelling the project forward. Nevertheless, the importance of having a robust investment foundation is pivotal for sustaining development in such an innovative field. How Does Bank AI Work? Bank AI operates on several innovative fronts, focusing on unique factors that differentiate it from traditional banking frameworks. Below are key operational features: Automation: By applying machine learning algorithms, Bank AI automates various manual processes within banks. This results in reduced operational costs and allows human workers to redirect their efforts towards more strategic activities. Advanced Risk Management: The integration of AI into risk management practices equips banks with tools to accurately predict potential threats such as fraud, ensuring that customer information and assets remain secure. Tailored Financial Recommendations: Through continuous learning from customer interactions, the AI systems develop a nuanced understanding of user needs, enabling them to offer tailored advice on financial decisions. Enhanced Customer Interactions: Utilizing chatbots and virtual assistants powered by AI, Bank AI enables a more engaging customer experience, allowing users to have their queries resolved quickly, thus reducing wait times and improving satisfaction levels. Together, these operational features position Bank AI as a pioneer in the banking sector, establishing new benchmarks for service delivery and operational excellence. Timeline of Bank AI Understanding the trajectory of Bank AI requires a look at its historical context. Below is a timeline highlighting important milestones and developments: Early 2010s: The conceptualisation of AI integration into banking services began to gain attention as banking institutions recognised the potential benefits. 2018: A marked increase in the implementation of AI technologies occurred when banks started using AI tools like chatbots for basic customer service and risk management systems for improved security handling. 2023: The sophistication of AI continued to advance, with generative AI being introduced for more complex tasks such as document processing and real-time investment analysis. This year marked a significant leap in the capabilities afforded to banks by AI technology. 2024-Current Status: As of this year, Bank AI is on an upward trajectory, with ongoing research and developments poised to further enhance capabilities in banking operations. Continued exploration of AI applications hints at exciting developments yet to come. Key Points About Bank AI Integration of AI in Banking: Bank AI focuses on adopting artificial intelligence to streamline banking processes and improve user experiences. Automation and Risk Management Focus: The project strongly emphasises these areas, aiming to shift the burden of routine tasks while enhancing security frameworks through predictive analytics. Personalised Banking Solutions: By harnessing customer data, Bank AI enables tailored banking services that cater to individual user needs. Commitment to Development: Bank AI remains committed to ongoing research and development efforts, ensuring its adaptability and ongoing relevance as technology continues to evolve. Conclusion In summary, Bank AI exemplifies a crucial step forward in the banking industry, leveraging artificial intelligence to reshape operational paradigms, enhance security, and promote customer satisfaction. Despite gaps in information surrounding the creator and investors, the clear objectives and functional mechanisms of Bank AI provide a strong foundation for its ongoing evolution. As AI technology continues to advance and merge with the banking sector, Bank AI is well-positioned to significantly impact the future of financial services, enhancing the way we understand and interact with banking.

362 Total ViewsPublished 2024.04.06Updated 2024.12.03

What is $BANK

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of BANK (BANK) are presented below.

活动图片