Ripple Unveils New Offerings For Banks and Fintechs In Brazil, Eyes Key License

bitcoinistОпубліковано о 2026-03-18Востаннє оновлено о 2026-03-18

Анотація

Ripple is expanding its operations in Brazil, aiming to enhance its digital asset services and secure a key Virtual Asset Service Provider (VASP) license from the Central Bank of Brazil. The company positions itself as the only provider in the region offering a comprehensive suite of financial services, including cross-border payments, custody, prime brokerage, and treasury management. As part of its growth, Ripple Custody will launch in Brazil, providing bank-grade security and compliance features for regulated institutions. The firm is also supporting significant tokenization initiatives on the XRP Ledger (XRPL) with partners like CRX and Justoken. Additionally, Ripple's RLUSD stablecoin is gaining traction, being adopted by major Brazilian exchanges and fintechs.

Ripple has announced plans to expand operations in Brazil, South America’s largest economy, aiming to improve its digital asset services in the country and obtain a key license from Brazilian regulatory authorities.

The company revealed that it is now the only provider in the region capable of addressing a comprehensive range of financial needs, including cross-border payments, digital asset custody, prime brokerage, and treasury management.

Ripple Prepares To Launch Custody Services

As part of its growth strategy, Ripple aims to apply for a Virtual Asset Service Provider (VASP) license with the Central Bank of Brazil (BCB), in accordance with the nation’s newly established virtual asset regulatory framework.

“Latin America has always been a priority market for Ripple—not just for the size of the opportunity but also because Brazil has developed one of the most advanced and forward-thinking financial ecosystems worldwide,” stated Monica Long, President at Ripple.

She emphasized that Ripple has spent years building the trust, licensing, and technological infrastructure necessary to thrive in regulated markets, and with the expansion of its platform, the firm is now equipped to meet the needs of institutions throughout the region.

Ripple has also showcased significant collaborations with major institutions utilizing its technology to address real-world challenges related to liquidity and payments. Notable partners include Brazil’s Banco Genial, Nomad, and Braza Bank.

Additionally, Ripple Custody is set to launch in Brazil, offering bank-grade security, real-time compliance features, and flexible deployment options for regulated institutions.

Established following the firm’s acquisition of Metaco in 2023, Ripple Custody provides institutions with the infrastructure required to hold digital assets, as well as facilitate payments, trading, and tokenization workflows.

The service is designed to support a wide array of hardware security module (HSM) providers and integrates with Chainalysis and Elliptic for real-time transaction monitoring, as well as enabling institutional staking across Proof-of-Stake (PoS) networks.

Tokenization Initiatives And RLUSD Expansion In Brazil

In Tuesday’s release, it was also stated that Brazil-based CRX, which specializes in tokenizing real-world assets (RWAs), is leveraging the XRP Ledger (XRPL) and Ripple Custody to issue and manage tokenized RWAs on a large scale, with approximately $100 million settled on blockchain.

Similarly, Justoken, which has already tokenized over $1.7 billion in assets on the XRPL, plans to utilize the firm’s Custody tools to create institutional-grade infrastructure for natural resources tokenization in Latin America.

The company’s RLUSD stablecoin is reportedly gaining notable momentum in Latin America, where institutions are seeking trusted, regulated digital dollar options.

Ripple disclosed that RLUSD is already being adopted by some of the largest exchanges and fintech companies in the country, including Mercado Bitcoin, Foxbit, Ripio, and Attrus.

The daily chart shows XRP’s recovery staged over the past week. Source: XRPUSDT on TradingView.com

At the time of writing, Ripple’s associated cryptocurrency, XRP, was trading at $1.52, up 7% in the last week and 1% in the last 24 hours.

Featured image from OpenArt, chart from TradingView.com

Пов'язані питання

QWhat key license is Ripple planning to apply for with the Central Bank of Brazil (BCB)?

ARipple is planning to apply for a Virtual Asset Service Provider (VASP) license with the Central Bank of Brazil.

QWhich major Brazilian institutions are mentioned as partners using Ripple's technology?

AThe major Brazilian institutions mentioned as partners are Banco Genial, Nomad, and Braza Bank.

QWhat new service is Ripple set to launch in Brazil, and what are its key features?

ARipple Custody is set to launch in Brazil, offering bank-grade security, real-time compliance features, and flexible deployment options for regulated institutions.

QHow is the company CRX leveraging Ripple technology in Brazil?

ACRX is leveraging the XRP Ledger (XRPL) and Ripple Custody to issue and manage tokenized real-world assets (RWAs) on a large scale, with approximately $100 million settled on blockchain.

QWhich major exchanges and fintech companies in Brazil are already adopting Ripple's RLUSD stablecoin?

AThe major exchanges and fintech companies adopting RLUSD include Mercado Bitcoin, Foxbit, Ripio, and Attrus.

Пов'язані матеріали

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit30 хв тому

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit30 хв тому

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit34 хв тому

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit34 хв тому

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit34 хв тому

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit34 хв тому

Торгівля

Спот
活动图片