The reimbursement stack every founder should build before Series A

Why founders keep getting this wrong

Most seed-stage digital health decks include a line about 'CPT code X applies.' Very few teams have actually spoken to a payer medical director. The gap between those two things is where growth-stage rounds die.

The four artifacts investors expect

A defensible reimbursement narrative in 2025 consists of four artifacts: an economic model grounded in a specific payer's claims data, at least one signed value-based contract or pilot letter of intent, an evidence-generation plan tied to a real endpoint, and a coding strategy reviewed by an outside coder — not by the founder's cousin who works in RCM.

Teams that walk into Series A conversations with these four artifacts raise on materially better terms than teams with a bigger user number and none of the above.

Start with the self-insured employer

The fastest path to real revenue for most digital health companies is still the large self-insured employer. Contracts close in three to six months rather than eighteen, and the buyer will tell you exactly what outcomes they care about.

Use those contracts to fund the evidence you will later need to convince a national payer. Do not skip this stage.

The evidence flywheel

Every deployment should generate one incremental piece of the evidence library. If a pilot does not, redesign it or decline it. Founders under-price their own data.

Coding strategy is not an afterthought

Many digital health founders treat billing codes as an administrative detail to sort out once revenue starts flowing, but the coding strategy actually shapes product design from the earliest stages. Whether a service can bill under an existing code, needs a new one, or depends on a bundled payment arrangement determines what data the product must capture, how encounters are structured, and even which clinical staff need to be involved in delivery.

Founders who reverse-engineer their product workflow from the documentation requirements of the codes they intend to bill save themselves painful retrofits later. Waiting until after launch to ask a coding question inevitably means discovering that the product does not capture the specific data element a payer requires for reimbursement.

Pilots that do not convert to contracts

A recurring frustration among digital health founders is the free or discounted pilot that a health system or payer runs indefinitely without ever converting to a paid contract. This happens when the pilot's success criteria were never explicitly tied to a purchasing decision, leaving the buyer with every incentive to keep enjoying free value.

The stronger structure ties the pilot to a specific evaluation window and a predefined set of outcomes, agreed in writing before the pilot starts, with the contract terms for conversion negotiated up front rather than after the data comes in. This is uncomfortable to ask for early, but it is far less uncomfortable than a two-year pilot that never becomes revenue.

Regional plans as an underused proving ground

National payer contracts are the eventual goal for most digital health companies, but they are slow, and founders often burn a year chasing a national deal that never materializes. Regional and mid-sized plans, along with health system-owned health plans, tend to move faster and are more willing to experiment with a novel benefit design, making them a more efficient place to build the first reference contract.

A regional contract that runs cleanly for a year, with clean claims data and a measurable outcome, becomes the evidence asset that makes the subsequent national conversation shorter. Skipping this step to chase the larger logo directly is one of the more common ways early reimbursement strategy stalls.

Turning claims data into a durable asset

Every reimbursed encounter generates claims data that, if structured and retained properly, becomes an increasingly valuable asset for the next payer negotiation, the next fundraising round, and eventual outcomes research. Too many companies let this data sit in a billing vendor's system, disconnected from the clinical and engagement data that would make it useful for anything beyond invoicing.

Building a data warehouse that joins claims, clinical, and engagement records from the start — even before there is a dedicated analytics team to use it — means the company is never starting from zero when a payer asks for real-world evidence. This is one of the highest-leverage, lowest-glamour investments an early digital health team can make.