Nearly three-quarters of U.S. employers plan to implement—or already implement—some form of AI or robotics to work alongside their human workforce.
How’s that for saturation?
Welcome to another edition of AI & Finance. We keep on racking up the busy weeks for financial services artificial intelligence, meaning that we have a lot of headlines to get to once again.
First, however, let’s talk some recent AI datapoints—and by datapoints I mean the results of mostly sponsored surveys whose results are at least somewhat debatable, if not downright unscientific. Still, they’re interesting conversation fodder so we’ll look at a few of them, starting with another workforce trends report… actually, this one is a “Workforce Megatrends” report from Transamerica titled “New Frontiers: Employers and the Evolving Workforce.”
It was the Transamerica report that found that 72% of employers are either in the process of implementing AI or plan to implement AI to “augment” their human workforce (Transamerica’s language, not mine). These employers seemed to disagree on the consequences of their automation augmentation—90% of them said that at least some sort of impact would be felt by their human workers. Of course, the employers had a predictably sunny outlook on the potential consequences—significantly more thought that jobs would be “transformed,” 68%, or created, 53%, than eliminated, 35%.
We’ll move on to some more optimistic info, this time from wealthtech provider BetaNXT, which found that a surprisingly high proportion of wealth management firms in its survey, 94%, have either begun or completed the arduous process of data modernization, usually a necessary precursor to the implementation of any sort of advanced AI capability within the firm. The top reasons for the data modernization push? Replacing outdated legacy technology and leveraging AI and other new tech.
That brings us to a bit of anecdotal information reported by Broadridge, which attended SIFMA’s OPS2 conference this week in Orlando, Fla. According to Broadridge, among the key topics of discussion were operational and cyber resilience. In recent surveys, the company found that nearly 90% of financial firms are investing in cybersecurity this year.
Broadridge’s report dovetails with recent research from crime prevention tech Feedzai, which found in its 2025 AI Trends in Fraud and Financial Crime Prevention report that more than 50% of financial fraud now involves the use of artificial intelligence. Technology and tactics reported by Feedzai’s respondents include deepfake schemes, social engineering, voice cloning, and AI-powered SMS and phishing scams. Such AI-augmented fraud is becoming more difficult to identify using traditional methods, according to Feedzai, requiring banks and other financial institutions to themselves use artificial intelligence to fight back.
Okay, that’s enough “data” for now. Let’s get to your headlines
1. Allvue Systems
Allvue Systems, LLC, a leading provider of technology solutions for the alternative investment industry, today announced a significant investment in its data and artificial intelligence capabilities. Underscoring Allvue’s relentless drive to innovate, the company dramatically expanded its R&D budget over the past year, funneling a 70% year-over-year increase in R&D funding into AI, data, and analytics-driven initiatives for the alternatives market.
To spearhead this ambitious growth, Allvue has appointed seasoned industry veterans Dmitri Sedov as Chief Data and Analytics Officer, Mack Santora as Head of AI and Brad Rosenfeld as Chief Marketing Officer. These strategic appointments underscore Allvue’s continued emphasis on driving technological advancements that empower investment managers with enhanced data intelligence, actionable insights, and automated workflows.
Dmitri Sedov joins Allvue from London Stock Exchange Group (LSEG), where he served as Group Head of Product, Data & Analytics. His distinguished career includes senior roles at Nasdaq, Preqin, and S&P Global, equipping him with unparalleled expertise in leveraging data for strategic advantage. “Alternative investment managers are under pressure to deliver faster insights, stronger compliance, and better returns,” said Sedov. “At Allvue, we’re developing an intelligent ecosystem that brings together purpose-built solutions and an AI-enabled data platform—giving investment teams better tools to generate alpha, meet growing investor demands for transparency, and unlock value across the entire investment lifecycle.”
2. Ant International
Ant International has entered a partnership with leading UK bank Barclays to enhance efficiency and resilience in global treasury management for businesses. Under the partnership, the two sides will combine innovative solutions, including Ant’s proprietary Time-Series Transformer (TST) AI FX Model, to help businesses reduce FX-related costs and risks against global volatilities.
At the initial stage of the collaboration, Ant International has successfully completed the first batch of its intra-group FX transactions with Barclays.
Ant International’s TST Model is a transformer architecture-based big data model with close to 2 billion parameters. By integrating the latest time series forecasting algorithms, the TST Model predicts patterns over time. Ant also created new pre-training and Supervised Fine-Tuning (SFT) frameworks to train the model and improve its predictions over time.
3. Boosted.ai
Boosted.ai, developers of the leading agentic AI for investment professionals – Boosted.ai Alfa™ – today announced it has appointed Christian Antaloczy as Chief Product Officer (CPO).
Antaloczy joins the Boosted.ai team from WhatsApp (parent company Meta) where he led generative AI for businesses, bringing deep expertise in product strategy, AI-driven innovation, and scaling solutions across organizations of all sizes in a highly regulated space. With a proven track record of building and launching industry-defining products, he has successfully bridged technology and business needs to help users derive value from technology like artificial intelligence.
As CPO of Boosted.ai, Antaloczy will leverage his expertise in generative AI and in bringing new services to market to extend our lead in the financial AI space, while expanding into more use cases as they see an increased demand for AI that automates large swaths of an investment professional’s day.
4. Datavault AI
Datavault AI Inc. (NASDAQ: DVLT), a leader in AI-driven data valuation and monetization, today announced a collaboration with Kove IO, Inc., a high-performance computing innovator, to launch a secure, tokenized data vending solution. The platform, integrating Kove:SDM™ software-defined memory with Datavault’s Data Vault®, debuts at IBM Think 2025 in Boston, targeting enterprises eager to unlock revenue from underutilized data.
Morgan Stanley estimates that AI-driven productivity and monetization strategies could add $5.7 billion to S&P 500 net income by 2025, with platforms like Datavault AI enabling companies to capitalize on this opportunity. The solution, showcased at IBM’s Partner Plus Pavilion alongside Adobe, Salesforce, and AWS, offers finance, biotech, and defense leaders a way to transform data into a financial asset.
The solution leverages Datavault’s AI stack: DataScore® for asset appraisal, DataValue® for real-time pricing, and Data Vault Bank® for tokenized transactions via the patented Information Data Exchange®, now enhanced with NYIAX-Nasdaq financial frameworks. Kove:SDM™, eliminates computing bottlenecks, ensuring secure, on-premises data vending. Compatible with Snowflake, and Databricks, the Datavault platform integrates seamlessly into existing infrastructure.
5. EY
IBM (NYSE: IBM) and the EY organization continue to build upon their multiyear alliance, today announcing the availability of EY.ai for tax, built with IBM watsonx. The alliance couples watsonx, IBM’s portfolio of artificial intelligence (AI) technologies, with the EY organization’s deep domain experience to address the largest challenges facing tax departments.
EY.ai for tax, built with IBM watsonx, is powered by open-source AI models, including IBM Granite, to help organizations automate tax compliance and streamline global data management. With this announcement, IBM and the EY organization are helping clients address their limited resources, multiple enterprise resource planning (ERP) systems across client environments, talent shortages and complex regulations by creating novel generative AI solutions that multiply productivity.
The solutions are currently in use by IBM’s Tax Department to automate previously manual, time-consuming processes, and the solutions are expected to save tens of thousands of hours annually. By streamlining tax compliance with AI, IBM is on track to exceed its goal of automating 80% of its foreign tax compliance. Prioritizing security and trust, these solutions help safeguard sensitive tax data to help avoid potential negative consequences, such as costly penalties and reputational damage.
6. Kintsugi AI
Kintsugi AI, a cutting-edge tax automation platform, announced today a strategic backing from Vertex Inc. This investment will accelerate Kintsugi’s product development and market expansion, bringing innovative compliance solutions to more businesses across the United States and international markets.
Kintsugi has become the fastest-growing startup in the tax automation space by offering a solution that reduces tax preparation time by 75% and compliance costs by 50% compared to traditional methods. The company’s AI-driven platform seamlessly integrates with revenue sources like Stripe and QuickBooks to automate tax calculations, filings, and compliance monitoring across multiple jurisdictions.
Vertex’s investment comes as businesses are increasingly seeking more efficient, cost-effective solutions for managing their tax obligations. Kintsugi’s platform has resonated particularly well with finance leaders and tax professionals who struggle with the complexity of multi-state tax compliance, changing regulations, and resource constraints.
7. Options Technology
Options Technology (Options), a leading provider of cloud-enabled managed services for global capital markets today announced the relaunch of Integrated Desktop, under a new brand umbrella, AtlasWorkplace, a tailored IT platform engineered to transform Hedge Funds, Private Equity firms, and Financial Services organizations with secure, scalable, and high-performance infrastructure.
AtlasWorkplace provides a comprehensive, secure IT solution designed for the unique demands of buy-side firms. It integrates a White Glove Service, with dedicated technical account management and VIP level customer care, ensuring consistent, personalized support.
Firms benefit from seamless, secure remote working with an Office and Desktop technology stack, including centralized identity management and Microsoft 365 integration. AtlasWorkplace’s Cloud and Server solutions offer scalable, resilient private, public, and hybrid environments, while Security and Compliance ensures 24×7 threat monitoring, proactive detection, and dedicated support for audits.
8. Revenue Analytics
Today, Revenue Analytics, a leader in revenue optimization software solutions, announced the appointment of Gotham Majumdar as Chief Product and Technology Officer. With the company experiencing over 60% growth in the past two years, Majumdar’s proven track record in driving data-driven transformation, scaling SaaS platforms, and enabling product-led growth will play a key role in sustaining the company’s momentum and supporting its global expansion. Revenue Analytics empowers industry leaders across travel and hospitality, manufacturing and distribution, media, and technology by leveraging the power of artificial intelligence (AI) and machine learning to deliver innovative solutions that drive revenue optimization, enhance sales performance, and provide actionable insights through advanced predictive analytics.
With over two decades of experience in global technology and product leadership, Gotham brings deep expertise in building innovative product intelligence platforms, scaling SaaS and digital commerce solutions, and harnessing hybrid cloud and advanced AI to drive business growth. Gotham’s role will be pivotal as the company advances its continued strategic evolution to a more product- and platform-led organization, where he will oversee the development of a cohesive, high-performing product and technology function.
Prior to Revenue Analytics, Gotham served as Chief Product Officer at SPINS and an AI consultant at EasyPark, where he scaled a data and SaaS platform from the ground up and built generative AI platforms. He also spent 15 years at IBM where he built the company’s digital commerce market and digitized over 500 offerings across its product portfolio. Throughout the course of his career, he’s consulted with numerous Fortune 500 companies, playing a key role in scaling digital commerce and SaaS platforms.
9. RightRev
RightRev, a leader in automated revenue management, today announced the close of a $13 million Series A funding round, bringing total funding to over $31 million. The investment was co-led by Cheyenne Ventures and Innovius Capital, with notable participation from several repeat investors, including Norwest Venture Partners, Salesforce Ventures and Snowflake Ventures.
This investment follows RightRev’s recent recognition as a leader in the 2024 MGI Research Automated Revenue Management Buyers’ Guide. This showcases the company’s position as a trusted solution for enterprise organizations, such as Snowflake, the AI Data Cloud company, and Drata, which rely on RightRev to manage complex revenue scenarios across diverse industries.
The new capital will accelerate RightRev’s product innovation, go-to-market expansion and partner ecosystem growth as the company scales to meet the surging demand for revenue automation, especially in the AI era.
10. Shift Technology
Shift Technology, a provider of AI-powered decision optimization solutions for the global insurance industry, today announced that Shelter Insurance has gone live on Shift Claims Fraud to help mitigate exposure to auto & property insurance fraud risk. The insurer is also a member of the recently announced Insurance Data Network (IDN).
As a mutual insurer, Shelter is owned by its policyholders as opposed to shareholders. As such, the company has long been known for its commitment to customer service and its continuous innovation in the service of delivering exceptional policyholder experiences. Viewing claims fraud as an activity that adversely affects legitimate customers and the insurer’s combined ratio, Shelter turned to Shift to help them apply artificial intelligence (AI) to the challenge of finding suspicious claims and determining how best to investigate their veracity.
According to industry estimates, P&C claims fraud costs U.S. insurers almost $90B per year. Shift Claims Fraud Detection uses the power of AI to help insurers find hidden fraud during the claims process and then make the best determination about how to investigate. Shift’s AI-based approach to fraud detection reduces false positives, identifies cases of both individual fraud and more sophisticated network fraud schemes, and delivers clear contextual guidance and supporting documentation to speed investigations. These factors taken together ensure exceptional operational efficiency and efficacy in claims fraud mitigation.
11. SIFMA
SIFMA and Arteria AI today announced a partnership to provide all US Treasury clearing participants a data-driven documentation platform to streamline and scale the onboarding, legal compliance, and operational systems integration with respect to the mandated central clearing of US Treasury securities repurchase transactions, as required by new rules out of the Securities and Exchange Commission (SEC).
SIFMA is the leading trade association for broker-dealers, investment banks and asset managers operating in the U.S. and global capital markets. On behalf of our industry’s one million employees, we advocate on legislation, regulation and business policy affecting retail and institutional investors, equity and fixed income markets and related products and services. We serve as an industry coordinating body to promote fair and orderly markets, informed regulatory compliance, and efficient market operations and resiliency. We also provide a forum for industry policy and professional development. SIFMA, with offices in New York and Washington, D.C., is the U.S. regional member of the Global Financial Markets Association (GFMA).
12. Upstart
Upstart (NASDAQ: UPST), the leading artificial intelligence (AI) lending marketplace, today announced a forward-flow commitment from funds managed by affiliates of Fortress Investment Group LLC (“Fortress”). Fortress has agreed to purchase up to $1.2 billion of consumer loans originated on the Upstart platform through March 2026.
The agreement with Fortress continues the large-scale partnerships that Upstart has formed to secure diversified and resilient sources of capital for use across economic cycles.
Citi will provide the debt financing to Fortress for the loan purchases.
13. Upstart
Lake Trust Credit Union (Lake Trust), a leading credit union serving 200,000 members and businesses throughout Michigan with over $2.5 billion in assets, has announced its partnership with Upstart (NASDAQ: UPST), the leading artificial intelligence (AI) lending marketplace, to offer personal loans to more consumers.
Lake Trust Credit Union started lending as a partner on the Upstart Referral Network in January 2025. As part of the Upstart Referral Network, qualified personal loan applicants on Upstart.com who meet Lake Trust’s credit policies receive tailored offers as they seamlessly transition into a Lake Trust-branded experience to complete the online member application and closing process.
