FlowCog is a cutting-edge financial modeling software designed exclusively for SaaS companies. It aids enterprises in confidently creating reliable financial projections and laying out their growth trajectory, setting them up for successful fundraising rounds.
It comes with pre-built SaaS financial models that save users time and hassles of building from scratch, letting them focus more on strategic decision-making.
FlowCog's predictive tool gives insights into a companys cash runway and growth trajectory based on key business metrics. Considered a 'nerdy finance sidekick', the software uses user responses from the onboarding process and industry data to predict suitable default inputs.
It performs Monte Carlo simulation analysis on these inputs to provide a range of revenue and cash outcomes. Apart from these, FlowCog features a simple user interface with beautiful dashboard charts and complete financials for both historical and future timelines.
The tool also auto-calculates SaaS metrics like company valuation, monthly recurring revenue, customer lifetime value, cash runway, and more. Enhancing it further, FlowCog incorporates integrations with QuickBooks and Stripe, and allows for Google Sheets two-way sync.
Despite its robust functionality, the software promises an easy onboarding process. However, for those who encounter difficulties or have an existing model to port over, SaaS finance experts are available for assistance.
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Pros & Cons
Pre-built SaaS financial models
Monte Carlo simulation analysis
Cash runway predictions
Predictive inputs based on onboarding
Utilizes industry data
Historical and future financials
Beautiful dashboard charts
Auto-calculates key SaaS metrics
QuickBooks and Stripe integrations
Google Sheets two-way sync
Easy onboarding process
SaaS finance expert assistance
Quick 20 Min Onboarding
Outputs including income statement, balance sheet, and cash flow
Automatically calculated ROI
Compatible with messy data
Simulates various growth scenarios
Consultancy for existing model porting
Exclusively for SaaS companies
Limited integrations
No mobile app
Dependent on historical data
Reliance on user-inputted data
No information on real-time analysis
Potential complexity for non-finance users
Assumes user familiarity with SaaS metrics