Masters Media builds AI-powered health technologies. Our portfolio spans four platforms across evidence infrastructure, biometric intelligence, clinical reasoning, and patient-held data architecture. Each is designed to solve a specific structural failure in modern healthcare: fragmented records, unreliable evidence, shallow clinical tools, and data systems that serve everyone except the person the data belongs to. We build the intelligent infrastructure that healthcare has been missing.
Biomedical research is published at a rate no human can track - over 3 million papers a year - and much of it is compromised by funding conflicts, publication bias, unreported retractions, and populations too narrow to generalise from. Clinicians and researchers are making decisions on evidence they cannot fully trust. THEA is a multi-agent AI platform that interrogates biomedical evidence for what other tools ignore: credibility. Multiple specialised AI agents debate each piece of research across dimensions including bias detection, funding source analysis, replication status, retraction tracking, and population applicability. The result is not a search engine. It's a structured, adversarial evidence appraisal that surfaces what's reliable, what's contested, and what's been quietly undermined. THEA's Evidence Knowledge Graph compounds over time, becoming a proprietary intelligence layer that grows more valuable with every query.
Modern medicine excels at acute intervention but struggles with the complex, multi-system patterns that drive chronic disease. A patient's biological timeline - labs, symptoms, medications, lifestyle, family history - contains signal that no single consultation can fully interpret. EMME is a clinical AI engine designed for practitioners who think in systems. It maps a patient's longitudinal biological data to root-cause mechanisms, generating testable hypotheses and evolving care pathways grounded in both conventional biomedicine and systems biology. EMME doesn't replace clinical judgement - it augments it, giving clinicians the reasoning depth of a senior colleague who has reviewed every data point across every visit. Practitioner-facing, evidence-anchored, and built to make complex patients less opaque.
Most health apps give you fragments - a step count here, a sleep score there — from a single device. SIIGNL is the AI-powered hub that harmonises all of your body's continuous data streams: wearables, lab results, symptoms, and lifestyle inputs, into one real-time physiological picture. SIIGNL's AI identifies subtle shifts, emergent trends, and cross-system correlations invisible to any single device or app. More importantly, it shares them in real time with your connected practitioners - turning passive data collection into active clinical intelligence. Your data stays yours. Your clinician sees what matters. And patterns that would otherwise take months to notice surface in days.
Your health data is scattered across clinics, hospitals, labs, and apps - locked in systems that serve institutions, not you. When you change doctors, move countries, or face an emergency, your medical story arrives incomplete. Critical decisions get made with missing information. Ovivo is a patient-held health data platform engineered to give you lifelong ownership and control of your complete medical record. Not a copy. Not a portal. The record itself is structured, portable, and secured under your authority from birth to legacy. As your household contributes verified health data over time, Ovivo's AI surfaces inherited patterns, familial vulnerabilities, and longitudinal trends that no single clinic visit could reveal. The result is a living health architecture that enables genuinely predictive, personalised care - across providers, across borders, across generations.