logo
Crypto exchange Kraken debuts peer-to-peer payments app Krak

Crypto exchange Kraken debuts peer-to-peer payments app Krak

Reuters6 hours ago

June 26 (Reuters) - Crypto exchange Kraken on Thursday launched a peer-to-peer payments app that enables users to send and receive funds - in both cryptocurrency and fiat currency - across more than a hundred countries.
The move is a bid to expand Kraken's offerings beyond its digital asset trading business, and puts the firm in competition with PayPal, Venmo and Block's CashApp.
Crypto exchanges such as Kraken are increasingly signaling an interest in expanding outside of the digital asset trading that initially became popular with retail investors. Kraken said last month that it is launching tokens of U.S. equities, called xStocks, in select markets outside the United States.
Krak users will have a dedicated spend account and will be able to instantly send and request payments across 300 different assets, including crypto and local currencies, the company said in a press release. Crypto transfers will be made using blockchain technology, while Kraken will make cash transfers internally without using external banking infrastructure.
"We're able to move money across borders right off the bat, because that's what we do from a trading perspective in our venues, and we've actually already spent over 10 years building out that system for money transmitter licenses... in all the jurisdictions," said Arjun Sethi, co-CEO of Kraken, in an interview with Reuters.
"You have to do that as an exchange anyways, and so what we realized is that our customers just wanted to do more with their money."
Kraken plans to launch a series of products through Krak in the future, including physical and virtual cards as well as pay-in-advance services like loans, the company said.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

How Buy Now, Pay Later schemes could affect your credit score soon
How Buy Now, Pay Later schemes could affect your credit score soon

The Independent

time37 minutes ago

  • The Independent

How Buy Now, Pay Later schemes could affect your credit score soon

FICO announced a new model that will factor Buy Now, Pay Later (BNPL) loans into consumer credit scores, marking a significant shift in creditworthiness assessment. The new scores, available to lenders from autumn, aim to provide increased visibility into consumers' repayment behavior and responsibly expand credit access, especially for those with limited credit histories. A joint study with Affirm indicated that consistent on-time BNPL repayments could lead to improved credit scores, potentially enhancing access to traditional loans and rentals. Consumer advocates raised concerns about 'loan stacking' and 'phantom debt,' warning that integrating BNPL into scores could have unforeseen negative effects on 'credit vulnerable' communities. While not expected to be an immediate 'game-changer' for consumers with established credit profiles, the change could create a more accurate picture of consumer debt, potentially preventing over-extension.

The infrastructure of trust: building AI foundations for inclusive, explainable finance: By Diederick Van Thiel
The infrastructure of trust: building AI foundations for inclusive, explainable finance: By Diederick Van Thiel

Finextra

time39 minutes ago

  • Finextra

The infrastructure of trust: building AI foundations for inclusive, explainable finance: By Diederick Van Thiel

The time is now to focus on AI infrastructure, which will enable companies to scale AI and build a future where humans and multiple AI agents successfully work together. In this blog I share some insights on how we at AdviceRobo do this so you can learn from it and build your own infrastructure of trust with AI. As the world accelerates toward an AI-first economy, one truth is becoming inescapable: no digital transformation will succeed without the right infrastructure. For financial services, especially those addressing underserved markets, the stakes are even higher. AI must be both inclusive and explainable—capable of reaching those locked out of traditional credit systems, while remaining transparent and accountable. This is the future AdviceRobo has long been building toward: a future where infrastructure meets empathy, and where AI augments human decisioning without undermining human dignity. Rethinking risk in the age of AI Traditional credit systems have failed billions of people globally—those without formal income, credit history, or access to mainstream banking. AdviceRobo has pioneered the use of psychometric data, behavioral analytics, and alternative data to assess risk far beyond FICO scores. These methods have already shown substantial lift: AdviceRobo's research reveals a 20–30% increase in acceptance rates among thin-file customers, while reducing defaults with 20% through better predictive power. But even the most advanced algorithms are only as scalable as the systems supporting them. So I invite you to enter the AI infrastructure revolution! Why Infrastructure is the next growth frontier McKinsey estimates a $5 trillion investment is needed over the next five years to support the growing appetite of AI across industries. But this isn't just about GPUs or cooling systems—it's about how you build AI that earns trust, scales cost-effectively, and adapts to regulatory demands. As Rodrigo Liang of SambaNova puts it, 'You're going to see a tenfold increase in investment for inferencing… and if it's not efficient, it won't scale.' For AdviceRobo and neo-lenders, this means focusing on three foundational pillars: 1. Hybrid AI deployment models AdviceRobo's clients—credit bureaus, retailers, digital banks and credit platforms —often span multiple jurisdictions and compliance regimes. A hybrid AI model, combining cloud-based inference with on-premises secure learning, is no longer optional; it's table stakes. This flexibility allows financial institutions to deploy AdviceRobo's scoring agents locally, while retraining them globally—a balance between data sovereignty and model innovation. 2. Agentic AI for dynamic (credit) decisioning Agentic AI—the use of multiple autonomous, specialized AI agents working in coordinated workflows—is redefining real-time decision-making. Imagine a suite of AdviceRobo agents: One analyzing psychometric data, Another adjusting for behavioral shifts, A third scanning macroeconomic risks. Each agent contributes to a unified, explainable decision. And with response times as fast as 0.03 seconds, these agents feel instantaneous to both lenders and borrowers. This is the dawn of always-on, always-fair credit decisioning. 3. Explainability as core infrastructure AI in finance must be auditable, not a black box. AdviceRobo has led the change in integrating explainable AI (XAI)—highlighting which behavioral traits influenced a risk score, and why. We work with powerful models that can capture the complexities of today's world far more effectively than traditional logistic regression models. At the same time, we use tools like SHAP values and LIME to open up these 'black boxes' and ensure that our AI-driven decisions remain transparent and explainable. This capability isn't just about compliance. It's about empowerment. Borrowers can gain insights into how to improve their profiles, and lenders build trust with regulators and stakeholders. In my opinion: 'We have to cross this S-curve, where we have enough infrastructure that convinces us the models are behaving correctly and the outputs are being securely managed.' Toward inclusive finance at scale The next chapter for AdviceRobo lies not in building bigger models, but smarter infrastructure—systems that: Are multi-lingual and culturally contextual , , Run efficiently even in data-constrained environments, And prioritize inclusion, from UX to underwriting. The ambition? To AI-ify credit and democratize access to credit for the 1.7 billion people currently unbanked—not with brute-force computation, but with infrastructure designed for empathy, precision, and global scale. And we're just getting started. We're also developing AI agents tailored for the embedded finance space, supporting industries like insurance, telecommunications, and retail—each with its own unique challenges and opportunities. In insurance, our agents help underwrite policies using behavioral data, making coverage more accessible for underserved or high-risk segments. In telecom, AI-driven financial profiling can enable dynamic credit limits for prepaid-to-postpaid transitions, or personalized device financing offers. And in retail, our technology powers embedded lending at the point of sale—enabling instant credit decisions and personalized repayment options that drive conversion and loyalty. These use cases all build on AdviceRobo's core strengths: behavioral data science, explainable AI and api-based scalable infrastructure. This ensures our partners can scale inclusive financial services—seamlessly integrated into their customer journeys. Our models go far beyond traditional statistical methods, and our use of explainability tools like SHAP and LIME ensures that every prediction can be trusted, audited, and acted upon—whether you're approving a loan, hiring a candidate, or retaining a customer. Final word: infrastructure is the new differentiator In a world where AI is ubiquitous, the companies that win will be those who build infrastructure with purpose. AdviceRobo is already ahead of the curve—blending cutting-edge AI, ethical risk profiling, and scalable delivery – and there to help others to drive this transformation succesfully too. Because the future isn't just algorithmic. It's agentic, explainable, and radically inclusive.

Fed's Barr says banks must manage climate risk
Fed's Barr says banks must manage climate risk

Reuters

time43 minutes ago

  • Reuters

Fed's Barr says banks must manage climate risk

June 26 (Reuters) - Federal Reserve Governor Michael Barr on Thursday said the U.S. central bank needs to ensure that banks are measuring and managing climate-related risk as they do other risks. "I think climate risk is a real risk for us as a society and is likely to be a risk for the financial system unless we pay attention to it now," Barr said in answer to a question at a community development conference at the Cleveland Fed. "We don't make climate policy. We don't want to make climate policy. But our role is to make sure that the institutions we supervise are operating in a safe and sound way. And that means paying attention to how they're measuring and managing climate-related risks."

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store