The Disease Forecasting Company.
Independent disease forecasting and health intelligence. Cited over 70,000 times
Analysis & Insights
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In the News
The future of weight loss drugs: gummies, tablets and melt-in-the-mouth strips
The i Paper | Mar 28, 2025
Value of investment on NCDs: Impact on health outcomes in low- and middle-income countries
IFPMA | Mar 11, 2025
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Bloomberg | Feb 19, 2025
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Financial Times | Feb 6, 2025
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A pioneer in predictive health intelligence
Understand
What's happening in a given disease area?
Airfinity is the most comprehensive, single source of intelligence for new developments in your chosen area.
Predict
Identify the true need for a vaccine or a treatment.
Our suite of dynamic predictive indicators help you navigate highly dynamic and uncertain market developments and see the real opportunities.
Act
Maximise impact to save lives
Our analytics and probabilistic tools inform key decisions on resource allocation, investment and procurement decisions to maximise impact of a given drug or vaccine and ultimately improve as many lives as possible.
Analyse, simulate, and predict the changing health landscape
Airfinity develops and deploys dynamic disease forecasting models to support horizon scanning, medical countermeasure impact modelling, clinical trial site optimisation, scenario-based demand intelligence, portfolio optimisation and more.
What our users say?
“The Airfinity report is a guide for world leaders to fix a more ambitious action plan.”
Gordon Brown, WHO Ambassador for Global Health Financing & former UK Prime Minister
“Airfinity has been instrumental in our country's COVID response.”
Head of UK Government
Vaccine Task Force
In a dynamic environment, Airfinity enabled us to remain on track with daily developments to enable more accurate decision-making. Airfinity combines nimbleness of real time data and their group of scientists that can analyse, model and provide strategic analysis for critical decision making.”
Iskra Reic, Executive Vice-President
Astrazeneca
“Probably the most expansive, accurate and helpful of the multiple data sets on an international scale”
Sir John Bell ,
University of Oxford