Who we help
From first idea to every market.
We work with medtech, healthtech, pharma, digital health, and wearable companies across every stage of the commercial journey.
The critical ideation phase
Before the raise. Before the model. Before the submission.
Most companies we see at this stage are trying to work out whether the commercial case is real before they commit to the next year of development or the next raise. Early-stage researchers testing whether their technology has a defensible value story. University spin-outs working out whether commercial IP justifies the next step. Teams in incubators and accelerators figuring out whether there is a viable reimbursement pathway before they spend another year developing the product.
The question at this stage is not "how do we build the model?" It is "is there a model worth building?" That requires understanding the payer landscape, the comparator set, the evidence gap, and the commercial logic of the problem you are solving.
We are honest at this stage. If the pathway looks genuinely difficult with the current evidence base, you are better off knowing now than discovering it at Series A diligence. This is a short, scoped engagement that gives you a clear read on the economics before you commit further.
What we deliver
- Reimbursement landscape review: Who pays, how much, under what conditions
- Preliminary value framework: What the economic argument will need to demonstrate
- Comparator landscape: What you will be benchmarked against
- Evidence gap assessment: What data you will need and when
- Pathway feasibility matrix: An honest read on commercial viability
Preparing to raise
Your next round is going to ask about reimbursement. Be ready.
Investor diligence standards have shifted. Series A and B rounds now routinely include questions about the reimbursement pathway, not as box-ticking but as a genuine signal of commercial readiness.
The gap between regulatory approval and payer acceptance is typically 18-36 months. Investors want to know you understand the evidence, have quantified the gap, and have a credible plan to close it.
An early economic model, even one built on conservative assumptions, is a more compelling answer than "we'll commission one post-raise." We build the reimbursement narrative your data room needs.
What we deliver
- Early health economic model on HEX Platform™
- Jurisdictional pathway slide for investor presentation
- Payer-facing narrative: Comparators, evidence gap, coverage rationale
- Sensitivity analysis and scenario modelling for Q&A preparation
- Investor data-room ready outputs
Preparing to submit
Build a dossier your payer can defend.
Health Technology Assessment submissions are high-stakes, methodologically demanding, and usually unfamiliar territory for the team handling them. Each country and jurisdiction has distinct evidence requirements, submission formats, and assessment cultures. Getting the model structure wrong means months of delay.
We run the submission as a team member, not a vendor. We build the model in HEX Platform so your regulatory and commercial teams can interrogate every assumption in real time.
We have structured Health Technology Assessment submissions for various jurisdictions, with particular depth in complex diagnostics, novel devices, and digital health interventions.
What we deliver
- Health economics model with sensitivity and uncertainty built in (probabilistic and deterministic sensitivity analysis)
- Budget impact model aligned to payer requirements
- Full Health Technology Assessment submission dossier generated from HEX Platform
- Response-to-query support throughout assessment
Expanding across jurisdictions
One reimbursement story, adapted for every market.
You have reimbursement in one or more markets, and now you're looking to extend that reach to others. The structural work you have already done is re-useable. What changes is the evidence threshold, the comparator set, and the payer's methodological guidelines.
We manage the adaptation so your team does not rebuild from scratch for each market. Jurisdiction fluency is built into how we work and into how HEX Platform is designed.
What we deliver
- Jurisdiction-specific model adaptations from the core HEX Platform model
- Local evidence gap analysis and data-generation recommendations
- Multi-market submission scheduling and resource planning
- Payer advisory meeting preparation
- Ongoing model maintenance as new markets are added
Not sure which stage applies to you?
Most conversations start with a 30-minute call. Bring the question that's on your mind, and we'll help you frame it.