The modelling backbonebehind bankable healthplans.
We work with multilateral agencies, philanthropies, NGOs, and ministries of health to build investment cases, country planning platforms, and the shared models beneath them.
That work ranges from the modelling backbone technical teams build on, to country planning platforms ministry analysts use day-to-day, to country-specific economic evaluations for policy questions.
Worked with
Project experience includes work for or alongside WHO, IARC, OECD, UNDP, RTI, Australian Government partners, ministries of health, Edith Cowan University, IOMSC.
Our work turns models into planning decisions.
Forecast Health work includes investment-case models, national planning platforms, country-specific analyses, and the modelling backbone that makes them easier to review and repeat. We have built models for adult and childhood cancers, cardiovascular disease, diabetes, COPD, asthma, oral health, risk factors, and mental health conditions including depression, anxiety, bipolar disorder, psychosis, and epilepsy. Each piece is built to keep evidence, assumptions, costs, results, and financing conversations connected.
Saving Lives, Spending Less
Modelling for WHO's global NCD investment case, translating intervention evidence into country-level health, cost, and economic benefit estimates.
NCD Best Buys Platform
A planning platform for reviewing WHO Best Buys interventions, country assumptions, intervention costs, health impacts, and investment-case outputs.
WHO/IARC Cancer Costing Platform
A cancer planning platform that turns services, pathways, resources, and programme assumptions into budget-impact and scenario outputs.
Eye Care Planning and Costing Tool
A WHO-aligned planning and costing tool for estimating the resources, costs, and investment needs of expanded eye care services.
Mental Health Platform
Models and platform workflows for intervention scenarios across depression, anxiety, bipolar disorder, psychosis, and epilepsy.
Country planning and investment cases
Country-specific analyses for governments and partners, turning epidemiology, coverage, costs, and delivery constraints into evidence for funding decisions.
Build tools that planners actually use.
We are working toward faster model runs, clearer evidence review, service and resource costing that reflects how care is delivered, project spaces country teams can own, and model copilots that help experts work inside the modelling backbone rather than around it.
The aim is to make modelling inspectable enough that country teams, agencies, and partners can take ownership of the assumptions and the decisions that follow.
Lower the modelling barrier
Make serious health economic modelling usable by technical teams and programme experts without requiring every country process to start from a blank workbook.
Expose the evidence
Give users a direct view of assumptions, citations, uncertainty, and calculation chains so results can be challenged, corrected, and trusted.
Model service delivery
Connect interventions to visits, actions, tasks, resources, workforce, capital, and programme costs so budget impact reflects operational reality.
Support country ownership
Build project spaces, review loops, exports, and a shared modelling backbone that agencies and country teams can operate with full visibility.
AI that assists the expert
Copilots that help domain experts inspect, edit, explain, and assemble models while analytical control stays with the people who know the work.