Research, modelling and operating standards
Take a problem. Go to the primary literature, not the summary of it. Build the model from public data. Validate it against something independent, and say where it fails. The sector changes. The standard of proof does not.
The group
Analytics answers where to put it and whether the economics hold. Advisory answers how it runs once it is there. Learning builds instruction from what the research actually supports. Different problems, different sectors, sold separately, and built on the same rule: name the source or do not make the claim.
Base siting, coverage and competitive position across a seven-state footprint. Transport economics, payer mix and break-even volume. Home of Meridian, the interactive siting and coverage tool.
Operating standards built around eight pillars, from aviation and clinical through dispatch, billing and business development. Written first for air medical. The structure carries to any operation running crews, assets and a compliance burden. KPI-driven, implementable without a capital budget.
Instruction and practice tools for children who learn differently, built from the federal practice guides, the published norms and the intervention literature rather than from what sells. First application: Able Minds Lab, reading and number fact fluency for a child with dyslexia and ADHD.
We tested the published site-ranking models our own industry sells. They do not predict outcomes, p = 0.86. We publish that rather than sell one.
The method
01
The technical report, not the summary of it. No name, number, date or rate appears without the file it came from. Public data wherever possible, so a client can check the work.
02
A separate method on separate data, not the data that built the model. Our break-even estimate lands within 1.6% of an independently published actuarial study.
03
Every deliverable marks what was verified, what is professional judgment, and what only the client can confirm from their own book.
04
Out loud, in the deliverable. A finding that kills an idea is worth more than one that flatters it, and a model reported only on its wins is not a model.