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Ex-Stripe and Tide engineers raise €7.5M for a fintech
The Dublin and London-based fintech, founded by ex-Stripe and ex-Tide engineers, has processed over 100,000 transactions and 40,000 invoices across 80+ early customers. Its €7.5M seed round, led by 13books, brings total funding to €10M and opens the platform to any startup in the UK and
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Ex-Stripe team raise €7.5 million for startup operations platform
This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. The round was led by London-based fintech VC 13books, with participation from additional VCs and over 40 angel investors. Founded in January 2025, Seapoint's
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Seapoint, founded by ex-Stripe and Tide engineers, has raised €7.5 million in seed funding led by 13books. The AI-powered financial operations platform now opens to all UK and Irish startups, having already processed over 100,000 transactions across 80+ early customers. The raise brings total funding to €10 million.
Seapoint, the Dublin and London-based fintech founded by ex-Stripe and Tide engineers, has closed a €7.5M funding round led by 13books, with participation from Ventures Together, Portfolio Ventures, and over 40 angel investors
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. The seed funding round brings total capital raised to €10 million, following a €2.5 million pre-seed round in September 2025 backed by Frontline Ventures and Tapestry VC1
. The angel investor roster includes Claire Hughes Johnson, former COO of Stripe, George Bevis, founder of business banking startup Tide, and Des Traynor, co-founder of Intercom1
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Source: The Next Web
The raise coincides with Seapoint opening self-service signups to all startups in UK and Ireland for the first time, moving beyond its previous waitlist model
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. Founded in January 2025, the AI-powered financial operations platform targets venture-backed startups from pre-seed to Series A, addressing the fragmented finance stack that founders typically struggle to manage2
. The platform has already processed over 100,000 transactions and more than 40,000 invoices across 80+ early customers1
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Source: Finextra Research
Seapoint's approach centers on automating financial tasks by connecting existing infrastructure in minutes. Within the first 10 minutes, the platform uses AI to import and connect a startup's existing banks, email, and accounting systems to automate reporting, bookkeeping, expense management, and payroll
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. The system categorizes every transaction by vendor name in real time and syncs with Xero, eliminating the manual work that typically consumes founder bandwidth between seed and Series B stages1
.Beyond connectivity, Seapoint offers embedded financial products including multi-currency business accounts, virtual team cards, and a money market treasury account powered through Wealthkernel and BlackRock money market funds
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. The company claims a founder with £400,000 in the treasury account could earn around £14,000 in interest annually, money that would otherwise sit idle at near-zero rates in a standard account1
. This consolidation allows founders to pay invoices, sweep idle cash into yield, or issue cards without leaving the platform.Related Stories
Seapoint enters a competitive landscape populated by Revolut Business, Tide, Airwallex, Mercury, and Brex, all targeting similar customer segments
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. The company's differentiation argument rests on integration depth—combining banking, automation, and accounting in one product rather than three—and its specific focus on UK and Irish VC-backed startups rather than SMEs broadly1
. CEO Sean Mullaney, former European CIO at Stripe and CTO at AI unicorn Algolia, brings credibility from advising the European Central Bank and the Bank of England1
.Seapoint plans to launch cash flow forecasting, physical cards, foreign exchange, and US dollar accounts later in 2026
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. Mullaney has flagged AI agents that push financial data directly into investor updates and planning tools as a longer-term product ambition1
. For founders watching this space, the key question is whether Seapoint's integration-first approach and startup-specific focus can defend against larger players replicating similar features. The company now needs to convert its 80 paying customers and €10 million in funding into growth that justifies a Series A, while proving that its AI categorization accuracy—built on 100,000+ transactions—creates a sustainable moat in a market where operational efficiency matters as much as feature breadth.Summarized by
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