Eagl Secures €825K to Revolutionize Financial Operations with AI
Eagl Raises €825K to Transform Finance with AI Technology
The Belgian startup is developing a next-generation finance platform aimed at alleviating manual workloads, expediting month-end closing processes, and providing real-time insights for CFOs.
AI startup Eagl has secured €825,000 in funding to bolster its engineering team and scale its operations across Europe. This investment will enable expedited development of its AI-driven financial platform designed to integrate seamlessly with ERP and accounting systems. The platform automates workflows in accounting and controlling, continuously monitors data quality, and resolves discrepancies, providing meaningful business context.
The Evolution of Financial Management
In today's fast-paced business environment, finance teams often find themselves overwhelmed by repetitive manual tasks. Eagl's innovative solution addresses this challenge, allowing finance teams to transition from mundane error-checking to focusing on high-value strategic initiatives. By facilitating a smoother month-end close process and minimizing audit durations, Eagl empowers finance professionals to redirect their efforts toward business growth and strategy development.
The Role of AI in Finance
“Most finance teams are stretched thin, fixing problems instead of adding real value,” stated Eagl co-founder and CEO Samuel Van Innis. “Eagl transforms what traditionally takes days of manual labor into instant insights, enabling finance leaders to prioritize strategic issues while ensuring that audit trails are cleaner.”
Funding Support and Vision
The latest funding round was led by Syndicate One and CNBB Equity Partners, with notable contributions from prominent SaaS innovators. Founders in the tech landscape, including those from successful companies like Lighthouse and Rydoo, recognize the potential of Eagl's approach. Their belief is bolstered by Eagl's unique focus on the finance function's complexities and its innovative solutions.
Continuous Monitoring and Real-Time Insights
“Beyond workflow automation, we actively monitor data quality and rapidly address anomalies as they arise,” expressed co-founder Frederik Bakx. “This capacity allows finance teams to close books more swiftly and navigate audits with much less stress.”
Unlocking New Potential for Finance Teams
Statistics reveal that finance leaders can spend as much as 70% of their time collecting, preparing, and reconciling data rather than analyzing it. By connecting directly to existing financial tools, Eagl guarantees the accuracy of financial records while providing enriched reports that incorporate relevant business context. This strategic integration aims to limit the manual work that legacy systems still impose on finance teams.
The Future of Finance with Eagl
Founded in April 2025, Eagl emerged from the collaborative efforts of seasoned industry professionals who previously worked with Henchman, Rydoo, and Lighthouse. This experienced team is dedicated to leveraging advanced technology in finance, positioning Eagl as a pioneer in addressing prevalent bottlenecks and inefficiencies that persist in finance operations today.
Frequently Asked Questions
What is Eagl's primary purpose?
Eagl aims to automate month-end closing processes and provide real-time financial insights, reducing manual workload for finance teams.
Who invested in Eagl's funding round?
The funding was led by Syndicate One and CNBB Equity Partners, with support from well-known SaaS founders in the industry.
When was Eagl founded?
Eagl was founded in April 2025 by Samuel Van Innis, Benoit Baervoets, Brecht Carnewal, and Frederik Bakx.
How does Eagl enhance financial operations?
The platform enhances operations by integrating with existing ERP and accounting systems, automating workflows, and improving data quality and reporting.
What distinguishes Eagl from legacy financial tools?
Eagl is AI-native, designed from inception to bring intelligent analysis and context into every financial workflow, reducing manual workload significantly.
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