Approach

Strategy, with the implementation attached

A recommendation is only finished when it runs. We build the tool, run the survey, write the code and see the result through with your teams.

Where science, politics and business meet

  • Science

    PhD-level research sits inside the firm: health policy and health economics, outcome measures and clinical research, with 25 peer-reviewed publications behind it. We read the evidence ourselves, and we have produced some of it.

  • Politics

    We have advised policymakers, payers and dental trade unions in six countries, including on two €10bn national dental agreements. We know how a reimbursement decision is made, because we were in the room when it was.

  • Business

    We are advised by senior leaders from every part of dentistry: manufacturers, distributors, payers and practitioners. With 15+ commercial due diligences for funds and corporates, delivered in partnership with Candesic, the number one consultancy in dentistry worldwide, we know what a buyer needs to see and what a seller must prove.

  • 01
    Strategy and implementation together

    We stay after the final presentation. The model becomes a live tool, the survey becomes a platform, the plan becomes a roadmap your teams run with us.

  • 02
    We build it

    Databases, survey engines, forecasting models, training games, field-force tools. Coded by us, tailored to the question, delivered working.

  • 03
    Data the sector runs on

    National claims data, procedure codes, registers, customs lines and company filings, read with our own workflows rather than bought as a report.

  • 04
    Senior only, dental only

    One partner on every engagement, a network of senior clinicians, operators and payer-side executives, and nothing outside dentistry.

Generalist firms
  • Learn the sector on your budget
  • Deliver slides and leave
  • Buy data from vendors
  • Recommend, then hand over
Policys
  • Have sat on every side of the dental table
  • Deliver working tools and stay to run them
  • Build the datasets and models ourselves
  • Recommend, build, and own the outcome