From data to impact

We help health(care) organisations with data science and AI solutions that inform strategic direction and practical road maps to maximise their impact on the health and well-being of people around the world.

The path of growth is powered by data

guided by analytics and accelerated through automation and AI

85%

Reduction in cloud costs

Our solutions have reduced our clients' monthly cloud costs by up to 85%.

20x

Speed up in ETL processes

Our automated data pipeline extracts, transforms and loads data 20x faster than manual processes.

5-10%

Increase in annual income

Dashboards and data stories have facilitated increases in annual income of up to 10% for our clients.

We provide building blocks for success

Data Platforms

Using tried and tested cloud-native tools, we design and build data platforms that are scalable and cost-efficient.

Data Analytics

We create interactive dashboards and narrative reports, turning raw data into answers that inform decisions.

Artificial Intelligence

We integrate in-house and third party AI tools to automate processes and make predictions from high-dimensional data.

Measuring the impact we've made together

We've documented the work we've done with our clients in our shared pursuit of better health and well-being around the world.

What our clients say

“Wimmy’s approach wasn’t about giving us a quick quote—they took the time to truly understand our needs. The workshops provided a level of insight that no standard developer could have achieved. It’s why we chose them.”
Lynda Toussaint
CEO, Unjani Clinics
“Wimmy is situated at the intersection of medical science and digital technology, which gives them a competitive advantage to provide high quality consultancy services. We are delighted to be working with the team on our big data and AI project.”
Prof Dr Keymanthri Moodley
Professor of Bioethics, Stellenbosch University
"What sets the Wimmy team apart is their commitment to delivering results that matter. I also really appreciated that they tailored their solutions to meet our unique challenges. I believe the dashboard they built for us is going to play an important role in decision-making processes within the public healthcare space."
Noluthando Ndlovu
Programme Manager, Health Systems Trust
"I worked with Wimmy on a One Health project, connecting climate and health data to inform programmes to prevent measles outbreaks and reduce malaria incidence. What set Wimmy apart was their ability to bridge scientific rigour with practical application. They engaged effectively across funders, implementers, and policymakers, ensuring the work was both technically sound and grounded in real-world needs."
Janine Mitchell
Former Director, DAI Global Health

Frequently asked questions

How do you help health organisations scale their data operations?

We provide scalable data infrastructure, designed specifically for fast-growing organisations. Our solutions fit within your budget while delivering adaptable tools to help you meet market demands and investor expectations.

How do you ensure compliance with data privacy and information security regulations?

We create compliant data models that meet complex, multi-country regulatory requirements. Our focus is on building secure, accurate, and compliant solutions to ensure trust and reliability across diverse health projects.

Can your team work with our limited in-house data science capabilities?

Yes. For organisations with limited in-house expertise, we offer flexible support, seconding data experts to your organisation, providing fractional data scientists, or offering training to enhance your staff’s skills.

How do you ensure rapid deployment while maintaining data integrity?

We are able to deliver superior results while staying within budget and sticking to timelines, by internalising the quality assurance process within leaner, smarter teams.

What kind of support can we expect after the project is complete?

We offer ongoing support to ensure that our solutions stay effective in the face of evolving tech stacks, growing datasets and changing needs.