Latest news with #treasury
Yahoo
10 hours ago
- Business
- Yahoo
VanEck Outlines Ways To Tackle Emerging Risk To Bitcoin Treasury Companies
Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below. VanEck Head of Digital Assets Research Matthew Sigel has joined the wave of experts warning that the Bitcoin treasury model popularized by MicroStrategy (NASDAQ:MSTR) faces risks. Sigel said Monday on X that Bitcoin treasury firms risked eroding shareholder value if they traded near their net asset value. Multiples to NAV have allowed Bitcoin treasury firms to raise capital for Bitcoin purchases by issuing more shares. But in recent weeks, experts have warned that these premiums will likely erode over time as the asset becomes more accessible and normalized and more treasury firms appear. Don't Miss: — no wallets, just price speculation and free paper trading to practice different strategies. Grow your IRA or 401(k) with Crypto – . 'If the stock trades at or near NAV, continued equity issuance can dilute rather than create value,' Sigel said. 'That is not capital formation. It is erosion.' However, there may still be room for Bitcoin treasury firms to safeguard against this risk, according to Sigel. Sigel said Bitcoin treasury firms should announce a pause of at-the-market stock offerings if shares trade below 0.95 times NAV for 10 days or more. This could temporarily prevent further shareholder dilution. Sigel also said that firms could engage in stock buybacks when Bitcoin rises, but share prices fail to reflect the increased value. This strategy is typically employed when a firm believes its stock is undervalued, and it can often be an effective means of returning shareholder value. Still, its effectiveness is often at the mercy of broader market sentiment. If all fails, Sigel said, firms might have to consider more drastic measures such as mergers, spinoffs, or sunsetting the Bitcoin treasury strategy. Trending: New to crypto? on Coinbase. Meanwhile, he warned that Bitcoin treasury firms should avoid outsized executive compensation. He said compensation should reflect NAV per share growth, not the total Bitcoin position or share count. 'Boards and shareholders should act with discipline now, while they still have the benefit of optionality,' he surmised. Sigel's warning comes as this NAV risk looks set to become a reality for at least one Bitcoin treasury firm. At last look, Semler Scientific (NASDAQ:SMLR) is trading at 1 times NAV, according to Strategy Tracker. The firm's stock has fallen over 45% year-to-date despite multiple Bitcoin purchases over the year and the asset trading near all-time highs. According to Sigel, Semler Scientific's troubles may be linked to its small market capitalization, low liquidity and long-standing business issues. The firm has been at the center of a multiyear Department of Justice probe over whether it misled government programs with false claims about its QuantaFlo test to get more money than it should have from the government. The QuantaFlo test uses Semler Scientific's QuantaFlo device to test for peripheral artery disease. QuantaFlo has been used by large insurance firms like United Healthcare. Failure of Semler Scientific to rally could offer insight into what other Bitcoin treasury firms could face and how it could impact the market. Read Next: A must-have for all crypto enthusiasts: . Maker of the $60,000 foldable home has 3 factory buildings, 600+ houses built, and big plans to solve housing — Image: Shutterstock This article VanEck Outlines Ways To Tackle Emerging Risk To Bitcoin Treasury Companies originally appeared on Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Finextra
18 hours ago
- Business
- Finextra
Finmo releases AI co-pilot for treasury teams
Finmo has launched MO AI Co‑Pilot, a conversational AI assistant designed to revolutionize how treasury teams manage financial operations. 0 From real-time cash visibility to forecasting and global payments, MO AI co‑pilot acts as an intelligent partner for finance professionals. MO AI enables finance professionals to handle complex, multi-entity, multi-currency workflows using simple, natural language. From retrieving account balances and initiating transactions to analysing cross-border payments and generating reports, MO AI delivers instant, contextual responses, transforming fragmented workflows into a unified, real-time experience. David Hanna, CEO, Finmo said, 'MO AI reflects the kind of meaningful innovation we aim for at Finmo - solving real-life treasury challenges with intelligent, usable tech. Our team has combined automation, AI, and deep financial insight to deliver tools that empower finance professionals to operate more strategically.' At the core of MO AI is a custom-built architecture that goes beyond traditional AI assistants. It combines real-time data integration, contextual financial understanding, and action execution via Finmo's proprietary Model Context Protocol. This foundation enables MO AI Co‑Pilot to interpret finance-specific language, support enterprise-grade authorisation flows, and securely execute transactions with full traceability. Raj Vimal Chopra, Co-founder & Chief Technology Officer, Finmo said 'We built MO AI as a domain-specific AI system to tackle the operational complexities of global treasury management. By fusing generative AI, advanced large language models (LLMs), and Finmo's high-fidelity treasury infrastructure, MO delivers deep intelligence with real-world utility. It understands treasury nuances, enforces strict access controls, and executes real-time actions with full auditability, ensuring security, compliance, and explainability at every step' Unlike generic AI applications, MO AI was trained on years of real financial transaction data and decision-making patterns. Its foundation blends generative AI with domain specific intelligence to respond to the pace and precision finance teams require. The MO AI co-pilot enhances day-to-day treasury workflows by automating tasks like payment approvals and forecasting. Akhil Nigam, Co-founder & Chief Product Officer, Finmo said 'We build products to solve real treasury problems. MO AI has been designed to think like a CFO function. It's built to understand the urgency, structure, and decision logic behind every action. Our goal was to move beyond automation and create an intelligent partner; one that helps finance teams shift from reactive to proactive execution.' As finance operations grow more complex, the MO AI co-pilot is positioned to be the intelligent companion treasury teams need. Finmo sees MO AI as a foundational leap toward a new era of intelligent finance. The roadmap includes predictive capabilities aligned with market conditions, complete workflow automation, integrations across the financial tech stack, and adaptive learning tailored to individual user roles. By shifting from static reporting to intelligent decision-making, MO AI Co‑Pilot positions finance teams to lead strategically in a dynamic, global economy.
Yahoo
a day ago
- Business
- Yahoo
Singapore Fintech Finmo Launches MO AI, a Conversational Co-Pilot for Global Finance Teams
SINGAPORE, June 19, 2025 /PRNewswire/ -- Finmo, the treasury operating system for global finance teams, recently announced the launch of MO AI, a conversational assistant embedded directly within its intelligent treasury platform. Purpose-built for CFOs, controllers, and finance teams, MO AI streamlines global treasury operations, making real-time cash management, forecasting, compliance, and reporting much faster and more accurate across global operations. MO AI enables finance professionals to handle complex, multi-entity, multi-currency workflows using simple, natural language. From retrieving account balances and initiating transactions to analysing cross-border payments and generating reports, MO AI delivers instant, contextual responses, transforming fragmented workflows into a unified, real-time experience. David Hanna, CEO, Finmo said, "MO AI reflects the kind of meaningful innovation we aim for at Finmo - solving real-life treasury challenges with intelligent, usable tech. Our team has combined automation, AI, and deep financial insight to deliver tools that empower finance professionals to operate more strategically." At the core of MO AI is a custom-built architecture that goes beyond traditional AI assistants. It combines real-time data integration, contextual financial understanding, and action execution via Finmo's proprietary Model Context Protocol. This foundation enables MO AI to interpret finance-specific language, support enterprise-grade authorisation flows, and securely execute transactions with full traceability. Raj Vimal Chopra, Co-founder & Chief Technology Officer, Finmo said "We built MO AI as a domain-specific AI system to tackle the operational complexities of global treasury management. By fusing generative AI, advanced large language models (LLMs), and Finmo's high-fidelity treasury infrastructure, MO delivers deep intelligence with real-world utility. It understands treasury nuances, enforces strict access controls, and executes real-time actions with full auditability, ensuring security, compliance, and explainability at every step" Unlike generic AI applications, MO AI was trained on years of real financial transaction data and decision-making patterns. Its foundation blends generative AI with domain-specific intelligence to respond to the pace and precision finance teams require. Akhil Nigam, Co-founder & Chief Product Officer, Finmo said "We build products to solve real treasury problems. MO AI has been designed to think like a CFO function. It's built to understand the urgency, structure, and decision logic behind every action. Our goal was to move beyond automation and create an intelligent partner; one that helps finance teams shift from reactive to proactive execution." Finmo sees MO AI as a foundational leap toward a new era of intelligent finance. The roadmap includes predictive capabilities aligned with market conditions, complete workflow automation, integrations across the financial tech stack, and adaptive learning tailored to individual user roles. By shifting from static reporting to intelligent decision-making, MO AI positions finance teams to lead strategically in a dynamic, global economy. View original content: SOURCE Finmo Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
FF News
2 days ago
- Business
- FF News
GTreasury Launches GSmart AI, an Agentic AI FinTech Solution Built for CFOs and Complex Treasury Environments
GTreasury has introduced GSmart AI, a cutting-edge tool in the realm of AI-powered treasury solutions, aimed at revolutionizing how CFOs and finance teams manage complex treasury operations. Leveraging best-in-class AI enterprise infrastructure, governance, and agent-driven workflows, GSmart AI empowers CFOs and treasurers to confidently navigate the increasingly complex treasury landscape by providing secure, actionable insights and agentic actions to amplify the value of GTreasury's solutions, spanning connectivity, liquidity management, cash forecasting, payments, risk, netting, and other core treasury functions. CFOs and treasury teams face an evolving mix of complex data, unpredictable market conditions, and increasing regulatory pressure. Reliable AI support is a strategic necessity, and GTreasury's GSmart AI addresses these demands with powerful capabilities, built-in compliance, and full transparency into every action it takes. 'For AI to create real value for CFOs, it has to be based on clear design principles of security, removing inefficiencies, fast problem solving, and quick delivery,' said Renaat Ver Eecke, Chief Executive Officer, GTreasury. 'GSmart AI, born from our recent investment in our Development Hub in Dublin, Ireland , amplifies our solutions, empowering CFOs and treasury teams to confidently take advantage of powerful insights and value without sacrificing compliance or oversight. We're proud of our recent investment and expansion in development, which advances our vision of adaptable solutions that provide financial leaders with the clarity to act.' The value of GSmart AI lies in its adaptable and scalable capabilities, where AI actively reduces manual effort by performing routine-but-time-consuming treasury tasks, proactively identifying risks and variances, and recommending strategic actions to support more informed decision-making. Its flexible architecture empowers treasury teams to deploy and schedule AI agents tailored to specific operational needs, ensuring maximum adaptability and relevance. As CFOs face growing complexity in financial ecosystems, AI-powered treasury solutions like gSmart AI offer real-time insights and automated recommendations. 'With GSmart AI, we've built an enterprise-class AI platform that not only analyzes data but actively infers, reasons, and acts on behalf of treasury professionals, amplifying the value of our solutions,' said Mark Johnson, Chief Product Officer, GTreasury. 'GSmart AI provides CFOs and treasurers full visibility and control, with clear traceability of every AI-generated output back to its source data. The depth of governance and explainability embedded into GSmart AI distinctly set our platform apart from generalized AI solutions or any other treasury technology.' GSmart AI's differentiated value includes full alignment with ISO/IEC 42001 and ISO/IEC 27001 standards, readiness for the upcoming EU AI Act, and stringent data sovereignty practices. The platform strictly isolates client data, ensures no client data is used in AI model training, and maintains complete transparency through comprehensive audit logs and observability tools. This innovation marks a significant leap in the evolution of AI-powered treasury solutions, offering real-time forecasting and adaptive decision-making tools. Among the key features and benefits of GSmart AI: Enterprise-class infrastructure: A scalable, API-driven agentic platform designed specifically for the complex needs of treasury and finance. Security and compliance: Comprehensive encryption, zero-trust architecture, data residency controls, and rigorous global regulatory compliance including GDPR and CCPA. Complete transparency and auditability: Full visibility into AI operations with explainable outputs linked directly to source documentation, backed by automated security monitoring and audit logging. Client control and data sovereignty: Full user control over AI features through feature flags, explicit opt-in workflows, and strict client-specific data isolation. GSmart AI integrates seamlessly within GTreasury's adaptable treasury management platform, providing flexible and intuitive interaction with existing solutions and workflows. With the rise of AI-powered treasury solutions, finance leaders now have access to tools that adapt and evolve alongside their needs. To learn more about GSmart AI and request a demo, visit .
Finextra
2 days ago
- Business
- Finextra
GTreasury introduces agentic AI platform for treasury management
GTreasury, the global leader in Adaptable Treasury Solutions for the Office of the CFO, today announced the launch of GSmart AI, a comprehensive and purpose-built AI platform uniquely designed for treasury and finance operations. 0 Leveraging best-in-class AI enterprise infrastructure, governance, and agent-driven workflows, GSmart AI empowers CFOs and treasurers to confidently navigate the increasingly complex treasury landscape by providing secure, actionable insights and agentic actions to amplify the value of GTreasury's solutions, spanning connectivity, liquidity management, cash forecasting, payments, risk, netting, and other core treasury functions. CFOs and treasury teams face an evolving mix of complex data, unpredictable market conditions, and increasing regulatory pressure. Reliable AI support is a strategic necessity, and GTreasury's GSmart AI addresses these demands with powerful capabilities, built-in compliance, and full transparency into every action it takes. 'For AI to create real value for CFOs, it has to be based on clear design principles of security, removing inefficiencies, fast problem solving, and quick delivery,' said Renaat Ver Eecke, Chief Executive Officer, GTreasury. 'GSmart AI, born from our recent investment in our Development Hub in Dublin, Ireland, amplifies our solutions, empowering CFOs and treasury teams to confidently take advantage of powerful insights and value without sacrificing compliance or oversight. We're proud of our recent investment and expansion in development, which advances our vision of adaptable solutions that provide financial leaders with the clarity to act.' The value of GSmart AI lies in its adaptable and scalable capabilities, where AI actively reduces manual effort by performing routine-but-time-consuming treasury tasks, proactively identifying risks and variances, and recommending strategic actions to support more informed decision-making. Its flexible architecture empowers treasury teams to deploy and schedule AI agents tailored to specific operational needs, ensuring maximum adaptability and relevance. 'With GSmart AI, we've built an enterprise-class AI platform that not only analyzes data but actively infers, reasons, and acts on behalf of treasury professionals, amplifying the value of our solutions,' said Mark Johnson, Chief Product Officer, GTreasury. 'GSmart AI provides CFOs and treasurers full visibility and control, with clear traceability of every AI-generated output back to its source data. The depth of governance and explainability embedded into GSmart AI distinctly set our platform apart from generalized AI solutions or any other treasury technology.' GSmart AI's differentiated value includes full alignment with ISO/IEC 42001 and ISO/IEC 27001 standards, readiness for the upcoming EU AI Act, and stringent data sovereignty practices. The platform strictly isolates client data, ensures no client data is used in AI model training, and maintains complete transparency through comprehensive audit logs and observability tools. Among the key features and benefits of GSmart AI: • Enterprise-class infrastructure: A scalable, API-driven agentic platform designed specifically for the complex needs of treasury and finance. • Security and compliance: Comprehensive encryption, zero-trust architecture, data residency controls, and rigorous global regulatory compliance including GDPR and CCPA. • Complete transparency and auditability: Full visibility into AI operations with explainable outputs linked directly to source documentation, backed by automated security monitoring and audit logging. • Client control and data sovereignty: Full user control over AI features through feature flags, explicit opt-in workflows, and strict client-specific data isolation. GSmart AI integrates seamlessly within GTreasury's adaptable treasury management platform, providing flexible and intuitive interaction with existing solutions and workflows.
