Is there enough demand?
Look at potential buyers, competing offers and the share of demand your business could realistically reach.
What you take away
A short assessment and a workbook showing the demand estimates.
A clearer next step
Before you sign a lease, choose a price or expand, see how the options hold up. Ask a specific question; get numbers you can examine and assumptions you can challenge.
Look at potential buyers, competing offers and the share of demand your business could realistically reach.
A short assessment and a workbook showing the demand estimates.
Compare sites, prices and capacity. Try slower sales or higher costs to see where the plan becomes fragile.
A comparison model, a decision note and a discussion of the trade-offs.
Bring recent results back into the analysis. Find out what changed and whether your next step should change too.
A refreshed model and a concise update on the differences.
We work with clients in technology and AI, healthcare and life sciences, manufacturing, and service businesses and restaurants. Owners can combine setup and compliance coordination with Market Feasibility, or start with either service.
Which programs deserve the next round of resources? We model development pipelines and chances of success, including cancer and rare-disease programs. Compare therapy costs and outcomes through HEOR and cost-utility studies. Explore treatment uptake, effectiveness and safety patterns in public or authorized aggregate real-world datasets, with clear limits on what the data can show. Bring these findings into a quantitative business review of a biotech team: milestones, cash needs and operating choices. You receive a model and an explanation you can use in planning discussions. Clinical judgments stay with your specialists; we do not recommend securities or solicit investors.
Explore healthcare supportTest how price and adoption assumptions change a U.S. launch budget. Explore user growth alongside compute costs and support hours, so the model shows when extra capacity would be needed and what slower take-up would mean.
Compare factory locations using freight routes, supplier terms and site costs. Test production targets against machine hours, staffing and delivery delays; see how those constraints change the cost of a unit or the capacity worth adding.
Compare locations using likely footfall and buying patterns. Explore what a different menu or price could mean for margins, then test opening hours and staff rosters against service speed, wage costs and the space available.
You receive the data sources, key assumptions and a range of outcomes. We use forecasting, simulation or optimization when the question calls for it, and explain the results in everyday language.
Our work covers business setup, compliance coordination and feasibility analysis. Campaign management and selling are outside our services.
Start with the decision and your deadline. We will agree the data needed, the work involved and the delivery schedule with you.