Timandi partners with ministries, NGOs, foundations, and life-sciences leaders to generate rigorous evidence, evaluate programs, and translate data into actions that improve health outcomes — anchored in Africa, working globally.
We pair deep methods — epidemiology, implementation science, health economics — with modern analytics and AI-enabled workflows. The result: faster, more credible evidence, delivered in the formats decision-makers can actually use.
About TimandiUtilization, comparative effectiveness, implementation science, and equity-focused outcomes research that strengthens the systems delivering care.
Epidemiologic analysis, real-world evidence, predictive analytics, and population health insights at the speed of decision-making.
End-to-end MEL: theory of change, indicators, mixed-methods evaluation, and learning systems built for adaptive program management.
Burden of illness, cost-effectiveness, resource utilization, and patient outcomes — the economic case for what works.
Briefs, syntheses, and data storytelling that move evidence from journal pages into policy rooms and program design.
AI-assisted literature review, analytics automation, and intelligent reporting — accelerating evidence without compromising rigor.
Pre-registered protocols, transparent methods, and peer-review-grade outputs.
From raw data to dashboards leaders use in the room — not just appendices.
Locally embedded teams partnering across LMIC and high-income settings.
We deploy AI where it helps — synthesis, screening, automation — and where it doesn't, we don't.
Evidence packaged for ministers, funders, and program directors.
A mixed-methods analysis of utilization patterns across three districts, with implementation recommendations for primary-care providers.
Read briefHow to architect lightweight RWE workflows that work with the data infrastructure you actually have.
Read paperBurden estimates and an economic evaluation of two screening modalities across urban and peri-urban settings.
Read case