For clinicians who want to do better by their patients
Your patients are already tracking. EMME makes that data useful.
The problem you already know
What EMME provides
The average diagnostic delay for endometriosis in Australia is seven to ten years. In that time, patients cycle through GPs and specialists, repeat the same history at every appointment, and arrive without the structured data needed to move the clinical conversation forward.
It's not a failure of care. It's a failure of infrastructure.
EMME is built to close that gap.
EMME is a longitudinal symptom and cycle tracking platform with an AI-powered intelligence layer — designed to turn patient-reported data into structured, clinically useful outputs.
Structured patient histories
Patients arrive with organised, longitudinal data — symptoms, cycles, pain levels, triggers, treatments tried — rather than recalled approximations. Less time reconstructing history. More time on clinical decision-making.
Pattern detection over time
EMME's AI identifies trends that are difficult to surface in standard consultations — symptom clustering, cycle correlations, escalation patterns — and flags them clearly for review.
Reduced diagnostic friction
Earlier, better-quality data means fewer appointments spent establishing baselines. For conditions like endometriosis, adenomyosis, and PCOS — where diagnostic delay is measured in years — that matters.
Designed to work alongside your workflow
EMME is not a diagnostic tool and does not replace clinical judgement. It is a structured data layer that supports the consultation — built with appropriate guardrails, transparent AI outputs, and clear escalation pathways.
Built for the Australian clinical context
EMME is being developed with the Australian healthcare landscape front of mind - including alignment with RACGP and RANZCOG frameworks, TGA regulatory awareness, clinical safety standards, and patient privacy requirements.
We are not building against the system. We are building infrastructure the system currently lacks.
The research opportunity
Longitudinal, structured, patient-reported data on hormonal conditions is rare. As EMME grows, so does the potential for de-identified, consented datasets that could meaningfully advance understanding of conditions that remain chronically under-researched.
We are actively seeking clinical partners and researchers interested in shaping that work from the ground up.
Better data before the appointment means better care during it.
Who we're talking to
EMME is relevant to clinicians working with patients who have - or may have - endometriosis, menopause PCOS, or other complex hormonal conditions. GPs, gynaecologists, and specialists who see the gap between what patients experience and what arrives in the consultation room.