What is MACH?
MACH (Multilingual AI Chatbot delivering information on HIV) is a chatbot trained to provide reliable, evidence-based information about HIV. It uses a large language model (LLM) fine-tuned specifically for HIV-related topics, ensuring responses are accurate, relevant, and sensitive to users' needs.
In addition, MACH supports multiple languages through machine translation, making it accessible to a diverse range of users worldwide.
We deploy robust evaluation frameworks and protocols designed to verify that MACH functions as intended while remaining accurate, safe, fair, equitable, actionable, and evidence-based.
Why We Created MACH
Access to accurate HIV information should not depend on where you live, the language you speak, or whether you feel comfortable asking for help. Yet, stigma, misinformation, and language barriers continue to make it difficult for many people to find the answers they need.
MACH was created to change that — combining the expertise of clinicians, people with lived experience, and AI developers to create a tool that offers trusted information with empathy and respect. Our goal is simple: to empower people to make informed, confident decisions about their health.
Our Values
Compassion
We believe every question deserves kindness and respect.
Inclusivity
MACH supports users of all backgrounds, genders, and sexualities — in many languages.
Privacy
Your conversations are encrypted and never stored.
Accuracy
Information is guided by trusted sources such as the NHS, WHO, UNAIDS, and BHIVA.
Our Approach to Privacy and Security
Your privacy matters. MACH is built with security at its core:
- No personal data is collected or stored.
- All chats are end-to-end encrypted.
- Fully compliant with GDPR and NHS Digital information governance standards.
We believe that trust begins with transparency — and that means protecting every user’s confidentiality.
How MACH Ensures Accuracy
MACH ensures accuracy through a combination of rigorous evaluation, continuous validation, and evidence-based design. Its algorithms and decision processes are regularly tested against verified datasets to confirm precision and reliability in outputs.
Quality assurance protocols — including cross-validation, peer review, and real-time performance monitoring — are embedded throughout the development and deployment phases. MACH also integrates user feedback loops and automated error detection systems to identify and correct discrepancies promptly.
The Team Behind MACH
MACH is developed by a team based at Mildmay Hospital, bringing together expertise in HIV care, clinical practice, and digital innovation. The team is committed to using technology to reduce stigma, improve understanding, and make reliable health information accessible to everyone.
Project Lead and Clinical Safety Officer
Divyan Moodley
MBChB | MSc (Computer Science with AI)
Divyan is a practising clinician at Mildmay Hospital, passionate about using technology to improve patient education, engagement, and clinical outcomes. With a background in medicine and computer science, Divyan bridges frontline clinical practice with digital innovation. His research interests include the evaluation and impact of AI within HIV care, reflecting a broader interest in responsible and evidence-based health technology.
Our Vision
"To create a world where everyone, regardless of language, can access trustworthy health information and feel empowered to care for their well-being."
Contact Us
We welcome collaboration with clinicians, researchers, and community organisations.
info@machhealth.co.uk