​London-based fintech Round has raised $6 million in seed funding to expand its AI-powered finance automation platform, as investor interest in autonomous finance operations continues to accelerate.

Founded in 2023 by Pac O’Shea and Hayyaan Ahmad, Round develops software designed to automate treasury management, payments, payroll, FX and accounts payable processes for finance teams at high-growth companies. Customers include Cleo and PostHog.

​The funding round was led by Munich-based Alstin Capital, with participation from Backed VC and Love Ventures. Existing investors including Passion Capital also reinvested, while approximately 10% of Round’s customers joined the round alongside angel investors including Indeed co-founder Paul Forster.

The company said the new funding will be used to scale its financial infrastructure and accelerate product development, including the launch of two new tools: an Agentic Workflow Builder and an Autonomous Payroll platform.

Round’s platform sits between banks, ERP systems and payment rails, using AI and workflow automation to reduce manual finance tasks including invoice approvals, payment execution and payroll funding. The company said it has already processed more than $500 million in transactions since launch.

Chief executive Pac O’Shea said the company was focused on automating operational finance work rather than replacing finance teams altogether.

“Everyone’s trying to build an AI CFO,” O’Shea said in a statement. “We’re taking the same approach, but for finance.”

The company said many finance teams continue to rely on fragmented systems and manual workflows despite growing investment in finance software. Round argues that embedded AI agents and workflow orchestration will become increasingly important as finance functions look to improve efficiency without expanding headcount.

Alstin Capital partner Andreas Schenk said Round represented “a fundamentally new approach to finance operations”, describing the company as an orchestration layer connecting banking, treasury and payment infrastructure in real time.

The funding comes amid a broader wave of investment into AI-native finance and treasury platforms, as startups increasingly target manual operational processes across corporate finance, accounting and payments. Investors are betting that agentic AI systems capable of executing workflows — rather than simply generating insights — could significantly reshape finance operations over the next decade.

Ripple has launched what it describes as the first treasury management system (TMS) with native digital asset capabilities, as the blockchain infrastructure provider expands further into corporate treasury technology.

The company, which acquired GTreasury in October last year and rebranded it as Ripple Treasury,  announced the launch of new Digital Asset Accounts and Unified Treasury capabilities within the system, enabling corporates to manage fiat currencies, stablecoins and digital assets through a single treasury platform.

According to Ripple, the new functionality is designed to integrate blockchain-based assets directly into day-to-day treasury operations including liquidity management, payments and reconciliation.

Ripple said the platform allows treasury teams to view and manage both traditional and digital assets from a consolidated dashboard, including real-time balances, transaction visibility and automated reconciliation workflows. The system supports assets including XRP and Ripple USD (RLUSD), the company’s stablecoin.

In a statement, Ripple said the new capabilities were developed in response to increasing corporate interest in stablecoins and tokenised financial infrastructure.

The company cited findings from its 2026 New Value Report, which surveyed more than 1,000 finance leaders globally. According to the report, 72% of respondents said organisations require a digital asset strategy to remain competitive, while 74% said stablecoins could improve cash-flow efficiency and working capital management.

Ripple said treasury teams have traditionally faced operational challenges when managing digital assets because custody, reporting and reconciliation processes were often handled outside core treasury systems. The company said embedding digital asset functionality directly into the TMS environment removes the need for separate crypto infrastructure and manual workflows.

Mark Johnson, VP of Global Product at Ripple Treasury, said the objective was to allow digital assets to “behave like cash” within treasury operations.

Ripple Treasury processed more than $13 trillion in payment volumes last year, according to the company, serving customers ranging from SMEs to multinational corporates.

The launch comes amid growing institutional adoption of tokenised finance infrastructure and stablecoin-based settlement models across the banking and payments sector. Financial institutions including JPMorgan, Mastercard and BlackRock have all expanded tokenisation initiatives over the past year as treasury and liquidity management workflows increasingly intersect with blockchain-based financial infrastructure.

Spanish treasury management fintech Embat has raised €30 million in a Series B funding round led by Cathay Innovation, with participation from existing investors including Creandum, Samaipata, 4Founders Capital and Venture Friends, as the company accelerates its push to become a major European treasury technology platform.

The Madrid-headquartered fintech, founded in 2021 by former J.P. Morgan executives Antonio Berga and Carlos Serrano alongside former Fintonic CTO Tomás Gil, said the new funding will support expansion across Europe, with a particular focus on the UK and Ireland.

Embat has positioned itself as an AI-native treasury management platform aimed at mid-market and enterprise finance teams still reliant on spreadsheets and fragmented banking systems. Its platform connects with more than 15,000 banks and major ERP systems, giving treasury teams real-time visibility over cash positions, payments, reconciliation and liquidity forecasting.

Central to the company’s proposition is “TellMe”, Embat’s AI-powered treasury analyst, which automates reconciliation processes, identifies cash flow patterns and supports forecasting and hedging decisions. The company claims its technology can automate up to 80% of manual treasury tasks.

The investment reflects growing investor interest in treasury technology platforms that combine automation, open banking connectivity and artificial intelligence at a time when corporate finance teams are under pressure to improve liquidity visibility and reduce operational inefficiencies.

Embat currently serves more than 400 corporate clients across Europe, including Treatwell, Fever, Northern Data, PetLab Co. and Arena Racing Company. The company employs around 150 staff across offices in Madrid, London, Berlin and Munich.

Cathay Innovation managing partner Jacky Abitol said Embat was addressing “some of the most complex challenges faced by large corporates” and described AI-driven treasury systems as becoming increasingly essential infrastructure for enterprise finance operations.

The latest round takes Embat’s total funding since launch to more than €50 million. The company previously raised a $16 million Series A round in 2024 led by Creandum.

The funding comes amid increasing competition in the treasury technology sector, where vendors including Kyriba, Agicap and Trovata are all expanding AI capabilities within their platforms. Embat is betting that embedded AI and real-time treasury orchestration will become a core requirement for CFOs and treasurers managing increasingly complex global cash operations.