Consulting & Roadmapping
Strategy, scoping, and pilot planning that turn health innovation ideas into practical, IRB-ready programs and technology roadmaps.
Services
AI Health Solutions & Testing
Advisory, validation, and testing services that help AI health tools perform safely, fairly, and reliably for the people they serve.
Overview
About AI Health Solutions
AI-powered health tools, from conversational assistants to clinical decision support, can widen access to care. They can also cause harm if they are not validated for the populations and settings in which they are used.
We help developers, health systems, and program teams evaluate AI health products before and after deployment. Our testing combines technical rigour with clinical, regulatory, and local context, with particular attention to performance across diverse African populations.
Challenges addressed
The problems we help you solve
Under-represented populations
Models trained elsewhere may not perform as expected for African patients, languages, or care settings.
Unclear validation standards
Teams are unsure which evidence regulators, health systems, and users will expect.
Safety in conversational tools
Health chatbots must handle uncertainty, escalation, and sensitive topics responsibly.
Adoption barriers
Tools that are hard to use or poorly fitted to workflows struggle to deliver value.
Capabilities
How we support you
Specialized support across the full scope of AI Health Solutions.
Health chatbot advisory
Guidance on scope, safety guardrails, escalation paths, and content governance for conversational health tools.
AI model validation support
Validation planning and evidence generation aligned with intended use and regulatory expectations.
AI bias testing
Structured evaluation of performance differences across demographic and clinical subgroups.
Safety testing
Scenario-based testing for harmful, misleading, or out-of-scope outputs and failure modes.
Functional testing
Verification that features, integrations, and edge cases behave as specified.
Usability testing
Evaluation with representative users to surface friction, confusion, and workflow fit.
Our approach
A structured, collaborative process
- 1
Define intended use
Clarify users, settings, risks, and the decisions the tool is meant to support.
- 2
Design the test plan
Select validation, bias, safety, functional, and usability methods proportionate to risk.
- 3
Test and evaluate
Execute testing with representative data and users, documenting findings transparently.
- 4
Recommend and monitor
Prioritize improvements and set up monitoring for performance after deployment.
Benefits
What you can expect
Safer AI in practice
Risks identified before they reach patients and clinicians.
Fairer performance
Evidence about how your tool performs across populations.
Regulatory-ready evidence
Documentation structured for reviewers and partners.
Better user adoption
Products shaped by the people who will rely on them.
Related services
Explore related services
Research Technology
Digital workflows, data infrastructure, interoperability, and responsible AI that modernize how clinical research is run.
Regulatory & Compliance Advisory
Navigate FDA, EFDA, and WHO expectations with clear regulatory mapping, compliance readiness, and governance support.
Let's talk about AI Health Solutions
Tell us about your goals and we will help you identify the right next step.