Where life meets healing —
Livaramed was built by a father whose daughter spent five years being told it was "just anxiety." The engine he built found what doctors missed — in hours. Now it's a companion that knows your whole story, takes every symptom seriously, and never stops looking for your answer.
Single-pass protocol on NEJM Case Records of the Massachusetts General Hospital, 2015–2023. Full methodology →
A look inside the Livaramed app — a companion that greets you by name, an engine that stress-tests every diagnosis, and a tracker that turns scattered symptoms into a picture you can read.
It opens to your whole story and reasons from it — every lab, symptom, and conversation, remembered and cited.
Ranked hypotheses with evidence citations, an adversarial critique, and a deterministic safety pass — in your hand.
Log symptoms in seconds. Your burden score and body-system trends build the timeline a 15-minute visit never captures.
Olivia suffered for five years — misdiagnosed, dismissed as anxious, and put through unnecessary heart surgery. Doctor after doctor saw only their own specialty's slice of her illness.
Her father built an AI that looked at everything at once. In hours, it produced a ranked, evidence-cited explanation of her illness and a concrete treatment path — and the treatment that followed gave her the first sustained relief in five years.
Read Olivia's Story →Everything below is one connected system: a companion that remembers everything, an engine that argues with itself before it answers, and reports your doctors will actually read.
Every lab, symptom, medication, and conversation lives in a structured medical memory. So when something changes, the companion doesn't start from zero — it connects today's complaint to your real history, with dates and citations.
The patented CrucibleDx pipeline makes independent AI models from different companies challenge each other's reasoning — then shows you exactly what was disputed and how your real data resolved it. No black box. No single opinion.
Livaramed extracts every value from PDFs and photos, files it by date, flags what's out of range, and connects trends to your treatments — so "your labs look fine" becomes a chart you can actually see and question.
One click produces a professionally formatted clinical summary — history, differential, medication list, lab trend charts — shareable through an encrypted, expiring link. No account needed on the doctor's side.
Every medication pair is screened by a deterministic, rules-based engine — brand-to-generic normalization, condition-gated contraindications, even pharmacogenomic CYP450 adjustment — with reproducible, auditable answers that don't depend on how a question was phrased.
CrucibleDx is the engine behind everything Livaramed does. Instead of one model giving one opinion, it runs a patented adversarial pipeline in which independent AI models from different companies challenge each other's reasoning — the way real tumor boards and case conferences work.
Extended-thinking analysis of your complete record builds a ranked differential with evidence citations for every hypothesis.
A second AI from a different provider independently attacks the reasoning — hunting anchoring bias, missed diagnoses, and unverified timelines.
Every disputed point is re-checked against your raw data and resolved in a structured discrepancy log — an audit trail for every disagreement.
A patented non-AI algorithm prevents well-supported diagnoses from being crowded out during review — a failure mode we discovered and named.
A final independent pass checks for missed drug interactions, dismissed red flags, and factual errors before anything reaches you.
NEJM Case Records of the Massachusetts General Hospital are the cases teaching hospitals use to humble their best diagnosticians. We ran 300 of them, single-pass, no follow-up questions.
| System | Developer | Cases | Protocol | Accuracy |
|---|---|---|---|---|
| CrucibleDx | Livaramed | 300 | Single-pass, full case | 91.3% (top-3) |
| MAI-DxO | Microsoft / OpenAI o3 | 304 | Interactive sequential | 85.5% (own metric) |
| AMIE | Google / DeepMind | 302 | Single-pass, HPI only | 59.1% (top-10) |
| GPT-4 | OpenAI (Savage 2024) | 301 | Single-pass, full case | 38% (top-1) |
| Physicians | (MAI-DxO study) | 56 | Interactive sequential | ~20% (top-1) |
Each result as reported by its own study; metrics and protocols differ. CrucibleDx top-1 on the Savage dataset: 58.3% vs. GPT-4's 38%. Cross-study comparison has inherent limitations — read the full methodology and per-case results.
A personal medical companion with persistent memory of your entire history — every lab, symptom, medication, and conversation. Every comprehensive analysis you run goes through the full CrucibleDx adversarial pipeline; every medication question is checked against your actual record; and it all becomes professional reports your doctors will actually read.
Direct clinical access to the same engine: case in, ranked differential out — with ICD-10 codes, red flags, and the complete adversarial reasoning trace designed for independent clinical review. Structured for alignment with FDA guidance on clinical decision support for licensed practitioners.
Medical AI can't be allowed to guess about safety. The most critical checks in Livaramed are not AI at all — they are deterministic code with reproducible, auditable answers.
Every medication pair is screened by a rules-based checker — brand-to-generic normalization, pairwise interaction analysis, even pharmacogenomic CYP450 adjustment — before the AI says a word.
If your medication record ever fails to load, the AI is forced to refuse all medication questions rather than answer without it. Fail-safe, not fail-silent.
A 5-level red-flag triage system screens every concern against emergency criteria — with crisis resources delivered deterministically, never at the model's discretion.
Biologically impossible lab values extracted from documents are caught and quarantined before they can ever contaminate your record or your analysis.
A mandatory check for the oldest failure in medicine: physical symptoms dismissed as psychological without organic causes ruled out — the bias that costs women and chronic-illness patients years.
Every hypothesis is tracked to confirmation or exclusion. Ruled-out conditions can't silently reappear, and the engine's accuracy is continuously calibrated against real outcomes.
Field-level AES-256-GCM encryption with per-patient key derivation, de-identification of all 18 HIPAA identifier categories before any cross-provider AI call, comprehensive audit logging, and break-glass emergency access with five security gates. Your data is never sold, never shared, never used to train models. Read the security architecture →
Bring your complete history. Livaramed will look at all of it — and keep looking until the picture makes sense.
Livaramed is a decision-support and health-management tool. It does not replace your physician, and its analyses are designed to be reviewed with a licensed clinician.