Allvi is the between-visit care platform for chronic conditions that disproportionately affect women — built to extend your care team, not replace it. AI-powered daily support, structured longitudinal data, and zero change to existing clinical workflows.
We are currently accepting a limited number of health system pilot partners.
Women with thyroid disease, PCOS, endometriosis, and autoimmune conditions are your highest-frequency, most complex chronic patients. They are diagnosed, medicated, and left to manage alone between appointments.
Pattern identified: Stress is the primary symptom driver. Sleep has negligible independent impact — a finding that fundamentally changed the management protocol and could not emerge from a single appointment.
Allvi operates as an extension of your care team — not a competing service. No change to existing workflows. Nothing new for physicians to learn.
Every daily interaction generates a structured data point across multiple symptom dimensions simultaneously. Over weeks of continuous tracking, that is a longitudinal dataset that enables pattern recognition no single appointment could produce.
Patients arrive with structured longitudinal data — not a vague recollection of how they have been feeling. Symptom complexity is already unpacked. Physicians make faster, better-grounded decisions in the time they have.
Continuously managed patients generate fewer urgent care visits, fewer unplanned specialist referrals, and fewer ER presentations. Allvi absorbs the between-visit demand that currently falls on overstretched clinical teams — without requiring anything from them.
Allvi's technology layer operates continuously between appointments — ingesting patient-generated data, identifying patterns, and delivering structured outputs that make every clinical interaction more effective. All clinical decisions remain with the physician.
Structured, daily. Across multiple symptom dimensions simultaneously.
Continuously analyses longitudinal patient data. Surfaces clinically meaningful signals. Never diagnoses or prescribes.
Structured outputs that make every clinical interaction faster and more informed.
* AI-powered analysis supports clinical decision-making and is reviewed by Allvi's specialist care team. It does not replace clinical judgment, diagnosis, or prescribing authority.
Three structural improvements — to visit quality, system utilisation, and population management capacity — without requiring anything new from your physicians.
Your physicians receive a structured clinical summary before every appointment with an Allvi patient. The 15 minutes becomes productive. The patient arrives with longitudinal symptom data, identified trigger patterns, and tracked biomarkers. The physician leaves informed. Decisions are faster and better grounded in what has actually happened since the last visit.
Continuously managed patients generate fewer urgent care visits, fewer unplanned specialist referrals, and fewer ER presentations. In a value-based model, that reduction has direct, measurable economic value. Patients contact the system when something meaningful requires clinical attention — not because they have no other structured support.
AI-enabled daily monitoring allows one care team to manage a significantly larger patient panel between visits. Continuous chronic care — historically too resource-intensive to deliver at population scale — becomes structurally viable for the first time. Allvi is the infrastructure that makes between-visit management scalable.
We are not presenting a clinical trial. We are presenting proof of mechanism — what continuous management looks like when the infrastructure works. One patient. Thirty-five days. 100% daily tracking compliance.
I think I have hit my stride. Hair loss has really reduced. I have more energy including mental energy. My therapist and I moved appointments from weekly to every other week — which is a huge win.
Week 8 unprompted patient update
Hashimoto's Thyroiditis
Through structured daily data collection, Allvi's AI identified that stress was the overwhelmingly primary driver of this patient's symptom flares — while sleep, the assumed primary factor, had almost no independent impact. This finding could not have emerged from a single appointment. It required longitudinal data.
Data from one de-identified participant. Presented as proof of mechanism. Confounders acknowledged — concurrent medication initiation and lifestyle changes. Prospective multi-patient study with validated QoL instruments in development.
Allvi is designed for partnerships with health systems, accountable care organisations, large medical groups, and value-based care practices managing chronic condition populations at scale.
Allvi reduces between-visit demand on overstretched clinical teams — improving outcomes for chronic condition populations without increasing physician headcount.
In a value-based model, the economic case for continuous chronic care is direct. Allvi reduces avoidable utilisation while improving the quality data needed for risk adjustment and performance measurement.
Allvi is purpose-built for the conditions that disproportionately affect your female patient panel — thyroid disease, PCOS, endometriosis, and perimenopause — the highest-frequency, most complex chronic cohort in most practices.
Allvi is designed to be deployed alongside existing care pathways — as a structured pilot, a commissioned service, or an integrated referral pathway.
A co-designed pilot with a defined patient cohort over 3–6 months — evaluating patient outcomes, system burden reduction, and clinical data quality.
For organisations ready to commission Allvi as a structured chronic condition self-management and early intervention service across a defined patient population.
Rashmi was diagnosed with hypothyroidism after more than two years of being dismissed — told her fatigue, brain fog, and weight gain were stress. She experienced firsthand what the chronic care gap looks like from inside it. Allvi is built on both the clinical understanding of the problem and the conviction that it can be solved at scale.
We are at the earliest stage — real data, proven mechanism, and a founding team that has built at scale. We are actively seeking health system pilot partners to prove this model at population scale.
Or reach us at rashmi@allvihealth.com · allvihealth.com