A continuously-updating model of you — fused from every signal modern medicine can capture, and capable of asking the questions a clinician would, if they could sit with you for a decade.
Most "AI health" products bolt one model onto a dashboard. Averra is a stack — six engines, in continuous bidirectional dialogue with the physical you. Each is built at the frontier; together, they form something the field has been chasing for two decades.
A pretrained transformer over millions of multi-omics and clinical profiles, fine-tuned on you. A resting heart rate of 58 means something specific to your biology — not the population average. This is what the field calls an intelligent twin: a model that reasons, learns and decides, not a database that reports.
Wearables, glucose, sleep, labs, imaging, microbiome, mood, environment — normalised into a single time-aware record. The twin works because the constellation does, not because any one biomarker tells the truth.
1, 5 and 25-year horizons expressed as ranges, not single points pretending to be certainty. A confidence cone widens with uncertainty and narrows as new evidence arrives — the way a careful clinician actually thinks.
Generative in-silico avatars — patient-specific simulations of how a change in sleep, training load, or pharmacology would propagate through your physiology. The twin answers what changes for me?, rehearsed virtually before anything is rehearsed in vivo.
Your raw data never leaves your sovereign vault. The twin learns locally; only encrypted gradients return to the population model. This is what makes the platform deployable in regulated systems — NHS, EMA, HIPAA — without the data-governance bottlenecks that stall every other foundation-model rollout in healthcare.
Homomorphic encryption on inference, secure multi-party computation on cohort queries, attestable enclaves on training. The twin can answer questions about you without anyone — including us — being able to read you.
Static digital replicas. NASA aerospace doctrine, ported to medicine.
Surgical rehearsal, cardiac flow simulation, in-silico clinical trials.
Self-adaptive models with continuous wearable + omics sync.
Reasoning, learning, decision-making. Foundation-model spine. This is where Averra lives.
Doctors don't need another dashboard. They need a colleague who has read every page of a patient's chart, every lab from every quarter, every wearable trace since onboarding — and who can answer questions in the cadence of a real consultation.
Averra surfaces the twin to clinicians as a structured second opinion: ranked hypotheses, the evidence behind each one, and counterfactual scenarios the doctor can rehearse before prescribing. The clinician remains in the loop. The twin earns its confidence by being right, repeatedly, in their own caseload.
"It is the difference between reading a patient's notes and actually understanding them. The twin doesn't replace the consultation — it gives me ten years of context in the first ninety seconds." — Consultant cardiologist · pilot cohort, 2026
A single biomarker rarely tells the truth. The twin is precise because the constellation is — heart rate variability read against sleep architecture, against training load, against last quarter's bloodwork, against a decade of family history.
Streams from wearables, rings, patches and continuous glucose monitors.
Quarterly bloodwork, imaging panels, gut and hormonal markers.
Genome, family history, lifelong clinical record, prescriptions.
Training, nutrition, mood, environment — the variables most studies discard.