Recent funding rounds are reshaping fintech, with new capital supporting private credit platforms, rent-to-own vehicle solutions, and AI-driven automation for banks and businesses across multiple continents
Fintech companies worldwide are accelerating their growth strategies following a series of significant funding rounds. These investments are enabling firms to expand into new markets, develop advanced automation tools, and address gaps in financial access for underbanked populations. The latest activity highlights the sector's focus on private credit, mobility finance, and AI-powered solutions for financial institutions.
Private Credit and Mobility Finance Attract Investors
Ellis, a US-based private credit start-up, has emerged from stealth with over $10 million in seed funding led by First Round Capital. The company, founded by Ryan Williams, aims to streamline fund administration, loan servicing, and compliance for private credit managers by integrating AI agents into routine workflows. Ellis plans to use the new capital to expand its team and enhance its platform's capabilities, including reconciliation, LP reporting, and regulatory compliance. The firm's long-term vision is to extend its AI-driven operating model across the broader alternatives ecosystem.
In the Middle East, Dubai's Naran secured $10 million in equity and debt financing from Landel. Naran, established in 2025 by former Yango employees, provides rent-to-own vehicle financing for ride-hailing and delivery workers who often lack access to traditional credit. The company purchases vehicles directly from manufacturers and offers flexible repayment terms, while also building credit histories for its users. Naran is preparing to enter Paraguay in September, adding to its presence in Côte d'Ivoire, Colombia, Senegal, and Peru. By 2030, the company aims to operate in 10 countries and deploy fleets of 10,000 cars and 20,000 motorcycles.
AI and Automation Solutions Gain Traction
Canadian firm Fisent Technologies raised $4.3 million in a round led by Fintop, with additional backing from Pegasystems. Fisent's BizAI suite automates repetitive business tasks, and its new BizAI Studio allows non-technical teams to build and deploy automation workflows. The funding will support expansion of Fisent's enterprise sales and engineering teams, as well as accelerate product development. John Philpott of Fintop will join Fisent's board following the investment.
Model ML, a US-based fintech specializing in AI tools for banks and asset managers, received an undisclosed investment from HSBC Asset Management's venture arm. Founded in 2023, Model ML develops AI systems that automate research, due diligence, and document creation for financial institutions. The company has now raised over $100 million since launch, including a $75 million Series A round in November 2025.
Trade Finance and Payment Platforms Expand Internationally
UK-based Traydstream, which uses AI to digitize and automate trade finance document processing, has received new backing from Mashreq's NeoVentures. While the investment amount was not disclosed, Traydstream's platform has already supported over $350 billion in trade volumes across more than seven million transactions. The new capital will help Traydstream scale internationally and further simplify trade processes for banks and businesses. The partnership builds on an earlier collaboration between Traydstream and NeoVentures, which launched the TraydFund asset sell-down solution in 2025.
Fazeshift, a paytech start-up focused on automating accounts receivable, has attracted investment from Amex Ventures just three months after closing a $17 million Series A round. Fazeshift's platform uses AI to streamline invoicing, payment reconciliation, and collections, and the new funding will support product development and team growth as the company moves toward a broader suite of autonomous finance tools for CFOs.
Enterprise-Grade AI and Payment Infrastructure
Finster AI, based in the UK, has secured Series B funding from UBS Investment Bank and FactSet. The company's platform orchestrates intelligence for investment banks and asset managers, integrating structured and unstructured data into existing workflows. The investment will support the development of secure, enterprise-grade AI infrastructure tailored to regulated financial environments. FactSet's AI for Banking platform is now being used to power insight generation for Finster's clients. Finster previously raised $15 million in seed and Series A funding, with participation from FinTech Collective, Peak XV, and Hoxton Ventures.
Meanwhile, Tap & Go, a UK-based provider of point-of-sale solutions and business financing, has received an undisclosed investment from Cashflows. The funding will enable Tap & Go to expand its product suite beyond card payments into ecommerce, virtual payments, and multi-site solutions. The partnership between the two firms began in 2025, with Cashflows providing infrastructure and settlement services for Tap & Go's card machines. The latest investment supports Tap & Go's growth across sectors such as universities, stadiums, hotels, and the motor industry.
Facts and Figures: Funding and Market Reach
Across these funding rounds, fintech firms have collectively raised over $130 million in disclosed capital since late 2025, with Model ML alone accounting for more than $100 million. Traydstream's platform has processed over $350 billion in trade finance transactions, while Naran targets deployment of 30,000 vehicles and expansion into 10 countries by 2030. Fisent Technologies' total funding now stands at $6.3 million, and Fazeshift's recent Series A brought in $17 million. These figures underscore the scale and ambition of fintech's current expansion wave.
For context, the rapid adoption of AI-driven automation in financial services is prompting institutions to reconsider how authority and accountability are structured, as explored in this analysis of AI agents and human oversight in banking.
As fintech platforms increasingly automate core financial processes, the distinction between traditional and digital finance is narrowing. AI-powered tools are now central to compliance, reporting, and operational efficiency, but their adoption also raises questions about oversight, risk management, and regulatory adaptation. The evolution of payment and credit infrastructure will depend not only on technological innovation but also on the ability of institutions and regulators to balance efficiency with accountability.
