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Building Financial Infrastructure That Actually Works

We're not chasing quick exits or flashy metrics. Our AI-powered budgeting platform helps French businesses make sense of their numbers without hiring a full finance team. And we're just getting started.

Financial analytics dashboard showing real-time budget forecasting

Why This Matters Now

Small and mid-sized businesses in France spend an average of 14 hours per week on financial planning. That's nearly two full workdays lost to spreadsheets, manual forecasts, and guesswork.

We built Wyyar Eyoux because we saw companies making decisions based on outdated data. They'd forecast revenue using last quarter's trends, not realizing market conditions had shifted. By the time they noticed, cash flow problems had already started.

Our system processes real transactions and market signals to adjust forecasts daily. Not monthly. Not weekly. Daily. Because modern businesses move too fast for quarterly reviews.

Current Traction

We're working with 247 businesses across France. Most came through word-of-mouth because accountants started recommending us to their clients.

Problem Validation

83% of our pilot users said they discovered budget issues they didn't know existed within the first two weeks of implementation.

Market Position

French SMBs represent a €4.2B financial software market. Most existing solutions were built for enterprise clients and poorly adapted for smaller teams.

Team collaborating on financial strategy using AI-powered forecasting tools

What We're Building

Our platform connects directly to business bank accounts and processes transactions in real-time. The AI learns spending patterns, recognizes anomalies, and adjusts forecasts based on actual behavior rather than static budgets.

The Technology Layer

We use machine learning models trained on aggregated data from thousands of French businesses. When our system sees a restaurant's weekend revenue spike, it compares that against similar establishments and adjusts cash flow predictions accordingly.

Most forecasting tools rely on historical averages. Ours incorporates seasonality, local market conditions, and industry-specific trends. A retail shop in Rouen gets different predictions than one in Lyon because consumer behavior varies by region.

Integration Approach

Implementation takes about 90 minutes. We connect to existing accounting software, pull historical data, and start generating forecasts. No migration required. No data entry. The system works alongside current workflows instead of replacing them.

Investment Opportunity

We're raising €2.4M to expand our engineering team and accelerate market penetration across France. Current runway extends through Q3 2025.

Revenue Model

Monthly subscription based on transaction volume. Businesses processing under 500 transactions pay €89/month. Higher volumes scale proportionally. Average customer lifetime value currently sits at €4,300.

Go-to-Market Strategy

We're focusing on accountants and financial advisors who serve multiple SMB clients. One partnership can bring 20-30 businesses onto the platform. Three accounting firms in Normandy have already committed to recommending us to their client base.

Competitive Landscape

Enterprise solutions like SAP and Oracle dominate large companies but struggle with SMB adoption due to complexity and cost. Consumer tools like Mint work for individuals but lack business-specific features. We sit in the middle—sophisticated enough for real business needs, simple enough for non-finance teams to use.

Business owner reviewing automated financial reports and budget insights

Let's Talk Numbers

We're having conversations with potential investors who understand B2B SaaS and the French SMB market. If you're interested in seeing our detailed projections, unit economics, and product roadmap, reach out.