Eagl Raises €825K to Speed Month-End Close with AI Agents for In-house Finance Teams

Eagl Raises €825K to Automate Month-End Close with AI Agents for In-House Finance Teams

Fundraising News - 18.09.2025, 01:05 pm

Eagl, an AI-native financial operations platform, has secured €825,000 to expand engineering, scale across Europe, and accelerate its agentic platform for finance teams. The product plugs into ERP and accounting systems, automates accounting and controlling workflows, monitors data quality continuously, and resolves anomalies using business context.

The goal: cleaner books, fewer errors, faster month-end closes, and shorter audit cycles.

Why this matters for finance leaders

Finance teams still spend up to 70% of their time gathering, cleaning, and reconciling data instead of analyzing it. Legacy tools track tasks, but they keep teams buried in manual checks and back-and-forth reviews.

Eagl is built AI-first to bring context and intelligence into every accounting and controlling workflow. That means less firefighting, more strategic analysis.

What Eagl's AI agents do

• Connect to your ERP and accounting systems to improve accuracy and structure of financial data.
• Continuously monitor data quality and flag anomalies with business context.
• Automate recurring accounting and controlling workflows to speed close and reduce manual errors.
• Keep audit trails clean to cut time and stress during audits.
• Generate reporting enriched with business context so stakeholders get clear, actionable insights.

Round details

The €825,000 round is led by Syndicate One and CNBB Equity Partners (ExactOnline, Yuki). Support comes from leading SaaS founders including Matthias Geeroms (Lighthouse), Joris Van Der Gucht (Silverfin, Ravical), Jeroen De Wit (Teamleader), Lorenz Bogaert (Rydoo, StarApps), Louis Jonckheere (Showpad), Roeland Delrue (Aikido Security), and Jorn Vanysacker, Gilles Mattelin & Wouter Van Respaille (Henchman).

What the team and backers say

"Most finance teams are stretched thin, fixing problems instead of adding real value," said Samuel Van Innis, Eagl co-founder & CEO. "Eagl turns days of manual checking into instant insights, empowering finance leaders to focus on strategic topics while auditors get cleaner books."

"Beyond automating workflows, we continuously monitor data quality and resolve anomalies in real time," added Frederik Bakx, co-founder and CFO. "This means finance teams can close faster, scale efficiently, and cut down the time and stress of audits."

"Eagl is tackling one of the most frustrating bottlenecks in finance with technology that actually understands business context," said Matthias Geeroms, founder and CFO of Belgian unicorn Lighthouse. "That's why many people in the SaaS ecosystem believe Eagl will fundamentally change how finance teams operate."

Founders and origin

Eagl was founded in April 2025 by Samuel Van Innis (ex-Henchman), Benoit Baervoets (ex-Rydoo), Brecht Carnewal (ex-Henchman), and Frederik Bakx (ex-Lighthouse). The team is focused on AI-native automation for accounting and controlling, with a clear target: make month-end close faster and audits smoother.

If you're evaluating AI for your close process

• Map the top 5 manual tasks that slow your close (data prep, reconciliations, exception handling).
• Define the business rules and context your team uses to resolve anomalies-ensure the system can learn and apply them.
• Check integration depth with your ERP and accounting stack, including audit trail support and access controls.
• Pilot with one entity and a narrow workflow, then expand once KPIs improve.

Metrics to track post-implementation

• Close cycle time (days to close).
• Manual adjustments per period.
• Open exceptions and average time to resolve.
• Audit request turnaround time and total hours spent.
• Error rates detected pre-close vs. post-close.

Bottom line

Finance teams don't need more task lists. They need cleaner data, faster anomaly resolution, and workflows that move on their own. Eagl's AI-native, agentic approach is built for that.

Exploring the broader AI toolset for finance? See a curated overview here: Top AI Tools for Finance.