Healthcare today is broken.
In one hospital, a doctor instantly recognizes the rare presentation and saves the patient. In another, ignorance kills, because that doctor had never seen it before. Not from negligence, but from limited exposure.
The same illness.
The same symptoms.
Two different outcomes.
This is fixable.
Our Mission
We are building a Structured Medical Reasoning Engine | not a chatbot, not a symptom checker, not a black box LLM AI, but a system that represents clinical logic in a transparent, auditable, continuously improving framework.
Built from the reasoning patterns of the world’s best clinicians. Not trained on data, but constructed from expertise.
Our system will:
guide patients to understand symptoms clearly
suggest likely pathways of investigation
surface risk patterns and red flags
recommend appropriate urgency and care level
continually update as medical knowledge advances. Improve it once, improve care everywhere
evolve into clinically validated differential generation & reasoning support
operate under medical supervision, regulation, and evidence
We are removing diagnosis as a bottleneck and letting clinicians focus on treatment and care.
Our system becomes the first-pass cognitive layer. Fast, consistent, scalable.
Phase 1
Symptom Reasoning + Education
A structured tool that helps people understand symptoms, risk factors, and when to seek care.
Insight, not diagnosis. Safe, accessible, and trust-building.
We’re starting where the world needs it most:
places where doctors are scarce, and diagnosis decides survival.
Our first product isn’t a symptom checker, it’s a triage-grade assessment engine that identifies red flags, prioritizes risk, and directs users to the correct level of care.
It’s not sci-fi.
It’s development.
Why
Diagnosis is the bottleneck of global healthcare.
Diagnostic error is persistent and preventable:
400,000–800,000 serious harms/year in the U.S alone.
1 in 3 malpractice dollars stem from misdiagnosis
5–12% of primary care cases are wrong; emergency misses (stroke, sepsis, aortic dissection) remain common
Meanwhile, billions remain unserved:
4–5 billion people lack access to basic surgical/medical expertise, let alone good diagnostic reasoning
In low-income countries, the average doctor to population ratio is <1 per 10,000 in many regions.
Even where doctors exist, they’re often undertrained in complex reasoning.
And the window to build this is now:
FDA and EMA have cleared dozens of “clinical decision support” SaMD products in the last 5 years.
Transparent, rule-based or knowledge-graph systems (the opposite of black-box LLMs) are dramatically easier to get through 510(k) or De Novo pathways.
Diagnosis can scale. Health Equity can become real instead of theoretical. The world is ready and the need is massive.
The industry knows this. No one has built it properly, yet.
We will.