Embat Raises €30M To Scale AI Treasury Management Platform

Embat AI treasury platform dashboard showing real-time cash management

Series B Funding Accelerates European Expansion

Embat has raised €30M in a Series B round to scale its treasury management platform. The round was led by Cathay Innovation. Existing investors Creandum, Samaipata, 4Founders Capital and Venture Friends also joined. The funding takes total capital raised since 2021 to over €50M.

The company focuses on modernising corporate finance operations. It targets mid-to-large enterprises across Europe. Its platform centralises payments, liquidity management and accounting data. Finance teams gain real time visibility across all cash operations.

Embat says the new funding will accelerate international growth. The UK and Ireland are key priorities. The company has already expanded into London, Manchester and Bristol. It now aims to strengthen local teams and deepen market penetration.

The fintech sector continues to see rising demand for automation. Finance departments face pressure to reduce manual processes. Embat positions itself as a solution for fragmented financial systems. It connects banking and ERP data into a unified platform.

AI Platform Transforms Treasury Operations

Embat’s platform uses AI to automate treasury workflows. It integrates with more than 15,000 banks. It also connects to major ERP systems. This removes the need for manual reconciliation and fragmented spreadsheets.

At the centre of the system is TellMe. This AI treasury analyst detects cash flow patterns. It automates reconciliations and supports forecasting. It also provides liquidity recommendations for finance teams.

The company claims the platform can automate up to 80% of treasury tasks. This includes repetitive reporting and cash tracking. Finance teams can focus on strategic decisions instead of manual work.

The founders built the system using deep banking experience. Antonio Berga and Carlos Serrano are former J.P. Morgan executives. Tomás Gil previously served as CTO at Fintonic. Their combined experience shaped the product design.

Embat now serves more than 400 corporate clients. These include Treatwell, Northern Data and Fever. Other clients include PetLab Co., International Schools Partnership and Derwent. Arena Racing Company is also among its users.

The platform competes with treasury providers such as Kyriba and Agicap. It also competes with Trovata in the financial automation space. Embat focuses on deeper automation and real time visibility. It aims to simplify treasury operations for mid-market companies.

Investor Confidence Builds Around AI Finance Tools

Embat scales AI-driven treasury systems, enabling real-time financial visibility and automation across Europe’s enterprise ecosystem. Source: Created by Ventureburn

Investors view Embat as a key player in European fintech. Cathay Innovation led the latest funding round. The firm highlighted the company’s ability to modernise treasury systems. It also noted its strong technical and financial expertise.

Jacky Abitol, managing partner at Cathay Innovation, said the platform addresses complex enterprise challenges. He said AI driven treasury systems are becoming essential for global companies. He added that Embat is positioned to become a global standard.

The funding reflects wider investor interest in AI finance tools. Companies are shifting toward automated financial decision systems. Real time data access is becoming a priority for enterprises. Embat’s approach aligns with this transformation.

The company already operates across multiple European cities. It has offices in Madrid, Berlin, Munich and London. It now plans to expand its UK and Ireland operations further. Recruitment and operational scaling are part of the strategy.

Embat has grown rapidly since its launch in 2021. It now employs around 150 people. Its platform continues to scale across European markets. The company expects stronger demand from mid-market firms seeking automation.

The fintech aims to become a core infrastructure layer for treasury management. It focuses on eliminating fragmented financial data. It also aims to improve forecasting accuracy for finance teams.

The company believes real time treasury systems will define the next phase of enterprise finance. AI driven analysis is expected to replace manual processes. Embat is positioning itself at the centre of this transition.

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International Growth Strategy Targets Mid-Market Firms

Embat’s expansion strategy focuses on Europe’s mid-market segment. These companies often lack advanced treasury systems. Many still rely on manual processes for cash management. The platform is designed to integrate quickly with existing systems.  This reduces implementation friction for clients.

It allows companies to adopt automation without restructuring finance operations. The company plans to expand its product capabilities. It will enhance AI forecasting tools and liquidity modelling. It also aims to improve integration depth across banking systems. Embat expects continued growth in demand for automated finance tools.

Economic uncertainty has increased focus on liquidity control. Finance leaders are prioritising real time decision making. The firm believes its platform addresses a structural gap in corporate finance. It combines automation, data integration and AI insight in one system. This approach is central to its long term growth strategy.

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Clinton

Clinton Nwachukwu is a crypto and finance writer with an MBA in Artificial Intelligence and 6+ years of experience creating content for leading global brands. He turns complex topics into clear, actionable insights for readers worldwide.

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