How Jay transformed a stressful, unpredictable cash flow pipeline into a defensible Series A financial model.
Jay was running a home healthcare business generating roughly $1M in annual revenue, but he had a massive structural problem. He had no real visibility into his own financial position.
His entire business model depended on submitting insurance claims, waiting for approval, fighting through denials, and eventually collecting payment. Because this claims data was scattered across disparate spreadsheets with no consolidated tracking, leadership could not answer the most critical questions a business faces. How much were they actually owed? How much of that outstanding debt would actually be collected? And most importantly, what did their true cash position look like once hard collections were accounted for?
You cannot manage a growing payroll on theoretical revenue, and you certainly cannot raise venture capital on it. Jay wanted to execute a Series A fundraise, but investors do not write checks for messy spreadsheets. He needed a financial architecture that could cleanly translate the chaos of medical billing into a defensible, highly predictable growth model.
Numberly stepped in and built a comprehensive financial architecture designed specifically around the brutal mechanics of claims-based revenue.
We constructed a full claims-to-cash pipeline. This system tracked individual claims from initial submission, through denial and appeal, straight to final payment. By doing this, we tied projected revenue strictly to what was mathematically collectible, rather than what was simply billed.
We also built legacy claims resolution into the model. The existing backlog of unpaid claims was isolated and tracked separately from new business. This gave leadership a pristine view of current operational performance versus old debt collection. Finally, we connected this entire pipeline to a 5-year financial forecast, modeling out funding events, monthly burn rates, and total runway.
For the first time, Jay had a single, reliable model of his business. He could finally distinguish real, liquid cash from claims still working through the system. This model became the absolute financial backbone of the company's capital raise, giving investors a transparent, highly defensible view of the path from messy billing data to scalable cash flow.
"I finally have a solid grasp of my cash flow. The model opened my eyes to the real timing lags impacting my business, like having to pay my team immediately but receiving cash over time. We now have a clear path to scale."