Alpa, a London-based FinTech building a real-time financial operating layer for the hospitality sector, has raised $3.5m in a pre-seed funding round led by European venture fund Daphni.
The round also saw participation from True Capital, 2100 Ventures, Firedrop, Oprtrs Club, Kima Ventures, and Sonorcap.
Angel investors include Voodoo founder Alexandre Yazdi and former Burger King France chief executive and McDonald’s Europe CFO Jerome Tafani, who has joined the company’s board.
The $3.5m will be deployed to strengthen Alpa’s core product and engineering capabilities, spanning financial data infrastructure, native supplier integrations, automation, AI-driven classification, and operator-grade financial workflows. The company intends to invest primarily in engineering and product to build a scalable, hospitality-native financial platform aimed at long-term category leadership.
Alpa addresses a structural gap in the hospitality sector, where most restaurant groups only gain an understanding of their profitability weeks after the end of the month, once accounting has closed.
The platform structures fragmented financial data from point-of-sale (POS) systems, banking infrastructure, and direct supplier integrations into a live operational profit and loss (P&L), giving operators continuous visibility into gross margin, labour, overheads and cash flow — without requiring bookkeeping, reconciliation or accounting workflows.
The platform is designed for daily operational use while remaining complementary to existing accounting systems.
Alpa co-founder and CEO Anton Soulier said, “Hospitality runs on thin margins, but financial visibility still operates on monthly cycles.
“That gap creates massive inefficiency and destroys value. Alpa is built to close it by giving operators real-time financial clarity so they can make decisions during the month, not after it. We’re not replacing accounting systems; we’re building the operational financial layer they’ve always been missing.”
Alpa co-founder and CTO Jean-François Moy said, “The real moat is not just data access, it’s native connectivity.
“We’re building direct connections to the hospitality supply chain itself: POS systems, banking infrastructure, and food and beverage suppliers, and using automation and AI to structure that data into real-time financial understanding. This funding allows us to go deep on engineering, machine learning and large-scale classification to make that possible.”
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