AI & Finance™ | News for the Week Ending 5/23/25

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Boy, AI is moving fast, almost faster than one editor can keep up with, but we’ll do our best.  Welcome to another week in artificial intelligence and financial services.

News-wise, there was a lot going on in AI, especially as Donald Trump completed his trip to the Middle East with several AI-related announcements regarding both investments in AI in the U.S. and the construction of AI infrastructure in Saudi Arabia and elsewhere in the region. 

But rather than talk about Trump and his trip, let’s start with some harmless puffery—we received a nice bit of affirmation from J.P. Morgan Private Bank’s 2025 Mid Year Global Investment Outlook, which was released this week. One of the report’s highlights was AI’s potential to outperform—even drive growth—amid economic uncertainty and otherwise tumultuous global markets. Sounds like a familiar argument, doesn’t it? 

There were several reports showing the saturation of AI financial technology. The first, from Kyriba, found that three-quarters of a global survey of more than 1,000 CFOs (76%) believe that AI is a threat to security and privacy that could impact the financial health of their organization—nevertheless, 96% of the CFOs surveyed in the report are prioritizing the integration of AI within their organizations. In the second, FIS found  that 78% of business and technology leaders are already seeing tangible benefits from the use of AI and automation. A third report, from Australia’s Adviser Ratings, showed that the reported use of AI among Australian financial advisors grew from 45% of advisors in 2024 to 74% this year. 

The Government Accountability Office (GAO) offered some insight into how far behind some federal agencies are when it comes to addressing the impact of AI in finance—the latest example is the agency that insures deposits for credit unions, the National Credit Union Administration (NCUA). While the GAO found widespread use of AI throughout the financial industries, the NCUA does not account for AI models in its model risk management guidance, nor does it have the authority to examine technology service providers working with credit unions. That’s a good sign it’s time to update the regulations guiding the NCUA, which hasn’t been done since 2016. 

There’s a new chicken-little piece on AI, “Wall Street’s Next Crash Won’t Be Human-Induced: The Looming Threat of AI-Triggered Market Meltdowns,” from Risk & Insurance, which posits what might happen if there’s an AI-induced market panic and sell off, and then goes through a brief and incomplete but pretty-well-put-together explanation of AI in finance and AI risk management. Let’s deal with their doomsday scenario first, which suggests that AI could cause an overnight cascading market sell-off—that assumes that all AI models would somehow suddenly be in agreement about selling in a particular market or across markets. 

Unlike traditional, deterministic financial technology, it’s hard to see how that kind of consensus comes about from generative AI, so I’m not sure the thesis of an AI-induced cascading market crash makes sense to begin with, but then the author goes into the 24-hour trading cycle somehow being a novel invention that adds even more risk into the equation, and… well, it gets a little silly. I don’t know about you, but I’m sick of the story structure that scares the shit out of you in the first few paragraphs and then falls into a pretty informative piece. If the writer had faith that the information in the piece was entertaining or informative enough to keep an audience engaged, they wouldn’t feel the need to resort to such gimmickry.

Let’s get to your headlines. 


1. Addepar 

Addepar, the leading technology and data platform for wealth, investment, and asset management, today announced the acquisition of Arcus, an innovator in enterprise AI workflows. This strategic move accelerates Addepar’s technology roadmap to embed sophisticated artificial intelligence (AI) and machine learning (ML) more deeply across its platform, supported by the company’s ongoing investment of over $100 million annually to research and development. 

Over the past fifteen years, Addepar has developed a technology platform that consolidates and unifies data, which its clients use for rigorous analysis, bespoke reporting and actionable insights, delivering consistent and lasting value for their clients and stakeholders. The next chapter of Addepar’s story will increasingly leverage AI and machine learning, unlocking additional capabilities like intelligent data management, anomaly detection, streamlined reconciliation and predictive insights. The acquisition of Arcus – bringing expertise in multimodal, multi-step AI workflows – accelerates this evolution, enabling Addepar to more seamlessly embed advanced AI capabilities to boost investment efficiency and impact, while adhering to the stringent data governance, privacy and controls it has invested in since its founding 15 years ago. 

These significant advancements will be a key focus at AddeConf25, Addepar’s annual technology and innovation conference, taking place in New York City on May 21. This premier event will convene clients, partners, and industry leaders to explore the latest cutting-edge capabilities of Addepar’s open platform. Attendees will gain firsthand insights into how these developments are driving smarter workflows, enhancing transparency, and delivering more actionable intelligence across the evolving global financial landscape, showcasing the future of wealth and investment management. 

2. AdvisorEngine 

AdvisorEngine Inc.® announced several platform integrations designed to boost advisor productivity and improve client service, tapping into wealth management’s fast-evolving segment of AI-powered tools. 

During its tenth client conference, the wealth management technology company shared with the audience that it is integrating with popular AI notetakers Jump, Zeplyn and Zocks – AI assistants that can capture meeting notes and translate them into client service actions. 

Additionally, AdvisorEngine announced integrations with Zapier, an automation platform connecting thousands of productivity applications, and ByAllAccounts, part of Morningstar Wealth, a leading financial data aggregator. ByAllAccounts will boost the platform’s access to portfolio data insights and Zapier will enhance advisory firm workflows. 

3. Broadridge 

Broadridge Financial Solutions Inc. (NYSE:BR) has been awarded a new U.S. patent on its large language model (LLM) orchestration of machine learning agents. These patented methods and systems are behind BondGPT, Broadridge’s award-winning GenAI application first demonstrated in the market in the LTX e-trading platform, a Broadridge subsidiary. BondGPT was released in June 2023, followed by the enterprise version, BondGPT+, in October 2023. These applications provide timely, secure and accurate responses to natural language questions using OpenAI GPT models and the orchestration of multiple AI agents to automatically retrieve and process data from multiple datasets and analytical models simultaneously. 

BondGPT and BondGPT+ harness powerful AI and machine learning to offer enhanced, personalized trading capabilities to corporate bond traders, portfolio managers, and analysts on the buy- and sell-side. By deploying Broadridge’s patented methods for LLM orchestration of machine learning agents, the BondGPT+ enterprise application integrates clients’ proprietary data and analytical models, third-party datasets, as well as sophisticated personalization features, and provides unparalleled access to critical pre-trade data and models, improving efficiency and saving valuable time for users. 

4. Catena Labs 

Catena Labs today announced its plan to establish the first fully regulated AI-native financial institution (FI) designed to serve the unique needs of the emerging AI economy. As a first step toward their long-term vision, today the company released a new open-source project defining protocols and patterns for agentic commerce. The company also confirmed an $18 million financing round led by a16z crypto, with participation from Breyer Capital, Circle Ventures, Coinbase Ventures, CoinFund, Pillar VC, Stanford Engineering VF, and visionary angels including Tom Brady, Bradley Horowitz, Hamel Husain, Kevin Lin, Peter Mattoon, Sam Palmisano, and Balaji Srinivasan. 

Catena was co-founded by Sean Neville, who previously co-founded Circle Internet Group, Inc., and invented the USDC stablecoin. The company aims to address the shortcomings in legacy financial systems that make them poorly suited to the needs of AI agents and agentic commerce. These challenges include the inability to handle agent identity and trust, slow and expensive payment rails, and a broad lack of capabilities designed for AI commerce. 

Catena plans to use the new funding to accelerate the development of their AI-native FI and its underlying technology. Key investors expressed confidence in the company’s approach to enabling the AI economy. 

5. Covet 

The future of wealth management arrived at Finovate as Covet.Life, a breakout platform harnessing the power of AI to advance estate asset management, took center stage. The live demonstration was met with resounding enthusiasm among Registered Investment Advisors (RIAs) eager to gain an unprecedented, holistic view of their clients’ complete estate landscape. 

The wealth management industry faces a critical challenge: up to 80% of heirs transfer assets away from their parents’ advisor. This isn’t a reflection of service quality, but a generational disconnect. Advisors risk losing significant Assets Under Management (AUM) simply because they weren’t the inheritors’ trusted partner. 

Covet offers RIAs a powerful solution to not only mitigate this risk but to proactively cultivate lasting relationships with the next generation. This groundbreaking platform goes beyond traditional planning tools, acting as a dynamic management and continuity engine. 

6. CyberCube 

CyberCube, a global leader in cyber risk analytics, and Aviva plc, a leading UK insurer, are harnessing the power of Artificial Intelligence (AI) to map the behaviour of cyber threat actors and the technologies they most frequently target. 

Utilising CyberCube’s ‘Portfolio Threat Actor Intelligence’ service and its suite of cyber analytics software, the collaboration aims to strengthen Aviva’s cyber exposure management strategy. 

By leveraging AI, specifically large language models (LLMs), to glean threat intelligence from extensive digital forensics data and data leaks tied to leading ransomware groups, Aviva has gained deep insights into how these threat actors operate and the tactics they use to execute attacks. With these insights, Aviva can pinpoint companies in its commercial portfolio that are most vulnerable to specific cyber threat actors, bringing a new level of precision and innovation to exposure management. 

7. Deluxe 

Deluxe (NYSE: DLX), a trusted Payments and Data company, today introduced DAX, a new AI-powered assistant designed to help partners make faster decisions and achieve better outcomes. By turning complex data into clear, actionable insights, DAX empowers users to improve daily performance—creating value for both customers and shareholders. Now live within the Deluxe Merchant Services Daily Dashboard, DAX is built on the Deluxe.ai enterprise platform, which blends artificial intelligence with human expertise, all grounded in privacy, compliance, and responsible AI practices. 

Powered by natural language processing and trained on pre-approved Deluxe content, DAX provides 24/7, human-like support for common product and portfolio questions. The result is a streamlined user experience and faster, more informed decision-making for partners. 

8. Fintica AI 

Fintica AI Ltd, a pioneer in next-generation artificial intelligence technologies for capital markets, and Mima Wallet, a Hong Kong-based firm specializing in secure crypto wallet infrastructure with a strategic focus on Mainland China and the Greater China region, today announced a strategic partnership and the launch of their joint venture: Fintica Crypto Ltd. 

This collaboration marks a pivotal milestone in both companies’ efforts to accelerate innovation across digital asset markets. Fintica Crypto Ltd will combine Fintica AI’s proprietary unsupervised AI platform with Mima Wallet’s cutting-edge security solutions to develop next-generation crypto trading products tailored to the evolving needs of the Greater China region. 

The joint venture aims to serve as a launchpad for AI-driven trading and security solutions—bringing together Fintica AI’s advanced analytics and Mima Wallet’s quantum-resistant infrastructure to address growing demand for secure, intelligent, and accessible crypto investment tools. 

9. Fireflies.ai 

Fireflies.ai, the AI agent for meetings used by people at 75% of Fortune 500 companies, today announced the launch of Fireflies for Finance, a specialized solution designed specifically for financial and wealth advisors. This new offering transforms how advisors document and leverage client conversations by providing purpose-built templates, finance-specific AI apps, and direct integrations with the industry’s leading CRM systems at a significantly lower price point than competitors. 

Unlike specialized competitors that charge $75-100 per user per month, Fireflies for Finance is included in existing Fireflies plans starting at just $10 per user per month—with no hidden fees or upgrade costs. This pricing structure makes enterprise-grade meeting intelligence accessible to advisory practices of all sizes. 

Fireflies.ai helps financial advisors auto-capture and structure meeting notes, making it easier to stay aligned with frameworks like Reg BI—transforming compliance from an administrative burden into a seamless part of client relationship management. With consistent, accurate documentation of client interactions, advisors can demonstrate their commitment to acting in clients’ best interests. 

10. Grant Thornton 

Grant Thornton, one of America’s largest providers of end-to-end audit, assurance, tax and advisory services, announced today the launch of a new, proprietary artificial intelligence solution, CompliAI™. 

CompliAI is part of a broader transformation in how Grant Thornton’s professionals help clients control and assess risks and address their most pressing business needs. 

Grant Thornton developed CompliAI using Microsoft Azure OpenAI Service, allowing it to operate as a fully integrated web application that enhances and streamlines the compliance process for service delivery teams. The platform uses advanced AI capabilities, including GenAI Assistants and a GPT Model Series. 

11. Guidewire 

P&V Group, a Belgian cooperative insurance group, and Guidewire (NYSE: GWRE), have announced that P&V Group has successfully migrated Guidewire’s core applications to Guidewire Cloud Platform, helping to power its underwriting, billing and claims operations. 

P&V Group has been a Guidewire customer since 2014 and has become the first Belgian insurance company to move InsuranceSuite, as well as Guidewire digital, data and analytics solutions, from an on-premises environment to Guidewire Cloud Platform. The migrations will enable P&V to simplify its IT operations, adapt quickly to changing market conditions, and deliver more value to its policyholders. 

12. Guidewire 

Grupo San Cristóbal, an Argentine financial and insurance group with regional presence, and Guidewire (NYSE: GWRE) announced that San Cristóbal Seguros successfully deployed Guidewire InsuranceSuite on Guidewire Cloud to power their core business and simplify IT operations. A Guidewire customer since 2015, the company leveraged Guidewire Cloud to successfully transform its personal auto and fleet management lines of business by implementing an optimized and effective quoting engine as well as introducing new functionalities to improve efficiency and expedite time-to-market. Guidewire PartnerConnect Consulting Advantage member SBI Technology supported the implementation project. 

13. Kyriba 

Kyriba, a global leader in liquidity performance, today introduced its agentic AI solution, TAI – a significant advancement in the safe, compliant use of generative AI in finance operations to improve productivity and efficiency amid continued economic uncertainty. 

Powered by Kyriba’s embedded Large Language Model (LLM) and over 20 years of unmatched global liquidity data, TAI simplifies complex workflows, identifies risks with predictive analytics, and enhances data-driven decision-making across treasury, payments, risk management and working capital. 

Poised to transform finance and treasury operations without relying on third-party LLM integrations, TAI is a key component of Kyriba’s Trusted AI portfolio. This platform-wide approach prioritizes industry-leading data privacy while empowering enterprise leaders to make faster, smarter decisions with human judgement and responsibility at the center. 

14. Luminary 

Personalized legacy planning is essential for advisors to create deep, lasting value for multi-generational clients. Until now, delivering these services at scale has been difficult. Manual processes, generic solutions, and traditional software too costly to justify have forced advisors to choose between customization and efficiency. 

Luminary Go addresses this challenge by distilling the most essential components of the Luminary platform into a more accessible offering. Advisors can now utilize AI-powered tools to transform static estate documents into dynamic diagrams in minutes—with less friction and complexity than ever before. 

By equipping advisors with the tools to lead with estate planning, rather than work around it, Luminary raises the bar for what planning technology can deliver. 

15. Novafms 

Novafms Trading Center, a global financial technology platform, has launched its latest innovation: the AI-Powered Data Insight Platform, a high-performance analytics system designed to help users extract meaningful intelligence from complex financial datasets in real time. 

The platform uses advanced machine learning algorithms to identify patterns, forecast trends, and surface anomalies across multiple data streams—including market pricing, macroeconomic indicators, user behavior, and sentiment analysis. The system is accessible via a web-based interface and supports integration with enterprise data environments through secure APIs. 

The solution is designed for use by financial analysts, research teams, institutional clients, and technology partners seeking to embed intelligence into their workflows. The platform’s infrastructure leverages a hybrid architecture combining on-demand compute, historical modeling, and deep neural networks trained on multi-year financial data. 

16. Origin 

Origin, the all-in-one personal finance app that’s reimagining how people manage, build and protect their wealth, today announced the launch of AI Budget Builder – a first-of-its-kind tool that leverages artificial intelligence to generate personalized, flexible budgets in seconds. By analyzing users’ historical spending patterns, AI Budget Builder creates customized budgets designed to reflect real-life financial behavior. This innovation empowers users to take control of their finances – without the overwhelm of figuring out where to begin. 

Budgeting is one of the most effective ways to improve financial well-being, yet millions of people continue to struggle with building and maintaining a budget that fits their real lives. Traditional budgeting tools are often time-consuming to set up, rigid in structure, and disconnected from how people actually spend—leading to frustration, disengagement, and financial stress. Origin’s AI Budget Builder tackles these long-standing challenges head-on. Powered by the latest generative AI models from OpenAI, the tool analyzes each user’s unique spending data to instantly generate a personalized, adaptable budget. This is more than a smarter budgeting tool—it’s a complete reimagining of what budgeting can be when driven by intelligent automation and human-centered design. 

The AI Budget Builder is a key component of Origin’s broader strategy to make financial planning more accessible, personalized, and actionable. Designed to support both first-time and experienced budgeters, the feature complements Origin’s robust suite of budgeting tools — including flexible views across monthly, quarterly, and annual timeframes; automatic integration of recurring expenses such as rent, bills, and subscriptions; and joint budgeting capabilities for managing shared household finances. 

17. Polly 

Polly, the leading provider of innovative enterprise technology and artificial intelligence for mortgage capital markets, continues to redefine industry standards, including the loan officer (LO) experience in its next-generation product, pricing, and eligibility (PPE) engine. Bolstered by Polly/™ AI, which leverages state-of-the-art AI/ML algorithms and Polly’s proprietary technology, data, and analytics, these enhancements further the best-in-class flexibility, automation, and real-time decision-making available to loan officers and mortgage brokers. 

Whether at initial or post-lock via mobile, loan officers can seamlessly access their LOS pipeline within Polly. The platform will auto-return search results based on the latest available data, enabling the user to select the product, rate, and price they wish to lock. This seamless, real-time integrated data component has been a longstanding pillar of the Polly platform and accessibility via mobile further facilitates end-to-end transparency and value. 

A recognized pioneer in mortgage capital markets, Polly has redefined the industry paradigm with a relentless focus on driving down the cost of origination, optimizing lender profitability, maximizing margins at scale, and delivering a world-class loan officer experience. Purpose-built on a high-performance, cloud-native infrastructure, Polly’s state-of-the-art technology ensures that users have immediate access to new features and functionality as the platform continues to evolve. 

18. S&P Global 

S&P Global today announced the launch of CreditCompanion™, a Generative Artificial Intelligence (GenAI) powered application for its RatingsDirect® on S&P Capital IQ Pro platform. This first release of CreditCompanion™ simplifies the process of researching the credit risk of entities, securities and credit markets S&P Global Ratings provides through RatingsDirect®, the flagship platform of S&P Global Ratings’ credit ratings and research, with future enhancements planned. 

Acting as a launch-pad into research discovery, CreditCompanion™ accelerates and empowers credit analysis and offers seamless and transparent access to a wealth of content, thereby saves users significant time. CreditCompanion™ leverages advanced Natural Language Processing (NLP), Large Language Models (LLMs) and a customized Retrieval Augmented Generator (RAG) to facilitate search, summarization and network creation across research artifacts. 

19. Samaya AI 

Samaya AI, the expert artificial intelligence platform for financial services, today announced $43.5 million in financing, led by NEA (New Enterprise Associates), with participation from leaders in technology and financial services, including Eric Schmidt (former CEO of Google), Yann LeCun (AI Turing Award winner), David Siegel (Co-founder Two Sigma), and Marty Chavez (Vice Chair Sixth Street), among others. The funds will be used to support Samaya’s product development and market expansion. 

Samaya develops a suite of expert AI agents designed and trained for complex financial workflows, from investment research to client advisory and deal diligence. For example, Samaya’s agents can autonomously synthesize a sector-wide investment report, create an investment presentation by reasoning over proprietary documents and provide instant answers to complex questions over millions of real-time sources — all while carefully grounding the output with cited evidence. Samaya has seen incredible market momentum with 100% month-over-month growth in usage, and counts premier financial institutions such as Morgan Stanley as customers. 

With the funding, Samaya is also launching its latest AI agent, Causal World Models. Previously in research preview, Causal World Models can autonomously model the entire economy and use this to carry out multi-stage grounded reasoning and provide quantitative predictions for economy-wide questions. For example, the question, “What is the impact of the tariffs on US GDP and the economy?” generates an interactive diagram, with the AI agent providing qualitative factors and citing predictions and quantitative projections. 

20. Stash 

Stash, the revolutionary platform helping millions build financial futures, announced today that it has secured $146 million in an oversubscribed new Series H funding through a round led by Goodwater Capital, with participation from returning investors Union Square Ventures, StepStone Group, Serengeti, and the University of Illinois Foundation, as well as funds and accounts advised by T. Rowe Price Investment Management, Inc. This new capital will accelerate Stash’s mission to make expert financial guidance accessible to everyone and deepen Stash’s investment in AI to transform its financial guidance capabilities. 

This latest infusion also underscores strong investor confidence in Stash’s strategy and business model under the leadership of co-founders and co-CEOs Brandon Krieg and Ed Robinson, who recently returned to Stash to lead the next phase of growth for the company. Under their leadership, Stash has achieved profitability, strengthened its core subscription model, and elevated its AI capabilities. With 1.3 million paying subscribers and $4.3 billion in assets under management, Stash continues to redefine financial inclusion – empowering everyday Americans with personalized, AI-driven financial advice at scale. 

The investment will accelerate product innovation, drive subscriber growth, and further develop Stash’s AI capabilities. Central to this strategy is Money Coach AI, an advanced financial guidance platform that translates expert-level investing strategies into real-time, personalized recommendations for everyday users. Since its recent launch, Money Coach AI has already reshaped how millions of Americans engage with their money and think about their personal finances. From helping customers pick their first investment to providing personalized diversification guidance, Money Coach AI helps customers get started and make saving and investing a habit that sticks. 

21. SurgeONE.ai 

Surge Ventures, a FinTech venture studio specializing in risk and regulatory innovation, today announced the launch of SurgeONE.ai, the industry’s first integrated platform combining AI, expert services and secure data infrastructure to power modern compliance and cybersecurity for broker-dealers, RIAs and other regulated financial institutions. 

The SurgeONE.ai platform unifies the proven capabilities of RegVerse, Kovair and Security Snapshot into a single intelligent system – delivering end-to-end solutions that blend automation with domain expertise. The platform was designed from the ground up to address real-world regulatory complexity, cyber threats and fragmented systems – problems legacy vendors and AI-only startups struggle to solve in isolation. 

SurgeONE.ai is modular, scalable and offers capabilities that align with where firms are today and where they need to go tomorrow. 

22. TIFIN 

TIFIN, a leader in AI for financial services, has announced the launch of TIFIN AXIS, a platform of AI agents designed to revolutionize middle office operations in financial services. Built on TIFIN’s proven financial AI capabilities and Palantir’s robust data infrastructure, TIFIN AXIS is designing a collection of AI agents for the numerous middle office processes that are common among wealth enterprises and among asset managers. 

The middle office often struggles with costly, error-prone manual workflows, disconnected systems, and navigating legacy tech stacks. In addition, turnover rates in this group remain high alongside elevated training costs. Through its deep domain expertise across wealth and asset management, and its leadership in finance specific AI, TIFIN has launched this project to address these challenges directly. With a collection of AI agents beneath a central orchestrator, this new approach helps reduce risks, increase efficiency and remove bottlenecks that drive growth. 

TIFIN AXIS has launched with early midsize RIA clients to redesign key operational functions, including account client service, account opening, trading and reporting.