Multi-agent medical AI
Your AI medical team, ready when you need it.
Ask one question and three specialists work on it at once: a general health consultant, a symptom analyst, and a researcher who checks the clinical guidelines. You get one clear answer, usually in under 20 seconds, at 3am or any other time.
medical professionals
questions
in context
ReadyTrace AI
11:42 PM
Chest tightness since this morning and I’m short of breath on the stairs. I take medication for high blood pressure.
Chest tightness with shortness of breath on exertion, in someone with treated hypertension, needs to be assessed today in an emergency department. Call 911 rather than driving yourself.
3 sources · ACC/AHA chest pain guideline, 2 moreOne careful paragraph that quietly ignores half of what you said.
Search your symptoms and every result says it could be nothing or it could be serious. Ask a general chatbot and you get one careful paragraph that quietly ignores half of what you told it. Then you ask the obvious follow-up, “so what should I do,” and it has already forgotten you have diabetes.
Meanwhile the thing you actually wanted to know was whether this can wait until Monday.
Traditional AI assistants rely on a single model to answer an entire medical question. A real health concern involves symptom interpretation, urgency assessment, medical knowledge, lifestyle advice and clinical evidence — all at once.
- Complex questions are not analyzed from all the relevant perspectives.
- Important risk signals get overlooked.
- Follow-up questions lose the conversation’s context.
- Simple questions are dragged through long reasoning they never needed.
- Medical information arrives without evidence or safety boundaries.
One question. Three specialists. One answer you can act on.
Instead of one agent doing everything, ReadyTrace AI routes each request by how complex it actually is. Simple questions go straight to the right specialist. Complex ones are broken into tasks and worked in parallel by the Agent Swarm.
The results are synthesized into a single response — checked before you see it.
Five things a single chatbot cannot do.
Three specialists, not one generalist
Your question goes to the agents that fit it. Symptom questions reach the diagnostic specialist. “What’s the current treatment for this” reaches the one that reads clinical guidelines.
Complicated questions stop getting half an answer.
- Lifestyle guidance
- Medication basics
- When to follow up
- Symptom mapping
- Urgency scoring
- Red-flag check
- Clinical guidelines
- Evidence lookup
- Source citation
Call 911 or get to an emergency department. Chest tightness with breathlessness on exertion is assessed the same day, every time.
Urgency, stated plainly
Every answer comes with a risk level, from routine to emergency. Describe chest pain, breathing trouble or fainting and the answer leads with go now, before anything else.
You know whether this waits until Monday.
It remembers the conversation
Tell it once that you have high blood pressure. Ask “what about diet” ten minutes later and it knows what you mean.
No repeating yourself, no starting over.
Answers with sources
Responses are grounded in clinical guidelines and medical references, and every answer shows what it drew from.
- 1ACC/AHA guideline on chest pain evaluation
- 2Hypertension management, 2024 update
- 3Emergency triage criteria, cardiac
You can check it, and show it to your doctor.
Reads your scans and reports
Upload a lab result, a discharge summary or an X-ray and ask about it in plain language.
The document your doctor gave you becomes readable.
Three steps, and none of them are yours.
You type a question. Everything after that — the routing, the parallel work, the safety check — happens before the answer reaches your screen.
Ask in your own words
A general health inquiry, a symptom you are worried about, a lifestyle question or a research-oriented medical question. No forms, no dropdowns, no clinical vocabulary required.
The router decides the path
It reads the complexity of the request. A simple task goes straight to the specialist agent that fits it. A complex task is decomposed and distributed across several agents for parallel analysis.
One checked answer comes back
Agents call the medical Skills they need and share results through the system context. Runtime constraints validate the output and add the required safety information before you ever see it.
Scored blind, by people who practise medicine.
Internal testing on a 500-question set drawn from real, de-identified consultations. Not a clinical trial.
It remembered what I’d mentioned earlier and connected my follow-up question without making me explain everything again. It felt much more thoughtful than a typical chatbot.
What stood out to me was the escalation behavior. When the conversation included potentially high-risk symptoms, the assistant clearly shifted toward recommending appropriate medical attention.
I was trying to understand several symptoms for a family member, and it broke everything down into clear pieces instead of overwhelming me with one long answer.
Medical is the first swarm. It is not the last.
The router, the parallel agents and the runtime safety layer are domain-agnostic. Medicine is where we proved them first.
The things people ask before they trust it.
Still unsure? Write to hr@readytrace.ai and a person will answer.
Is this a doctor?
No. ReadyTrace AI gives you health information and helps you decide when to seek care. It does not diagnose, prescribe, or replace a clinician, and it is not a regulated medical device. Use it to arrive at your appointment better informed, not to skip it.
What happens if I describe something dangerous?
A safety check runs before anything else. Chest pain, difficulty breathing, fainting and other high-risk symptoms trigger an immediate instruction to seek emergency care, placed at the top of the answer. That check is rule-based and cannot be talked around.
How accurate is it?
On our internal 500-question test set, medical professionals scored our answers 4.5 out of 5 on accuracy, completeness and safety, against 3.9 for a leading general chatbot in a blind comparison. That is our own testing, not independent validation, and we publish the method so you can judge it. It gets things wrong. Every answer shows its sources so you can check.
Can I use it for my child or my parent?
Yes. Each person’s history is kept separate, so nothing gets mixed together. Answers about children are handled by the same escalation rules, which are stricter for infants.
Stop guessing at 3am.
Three specialists, one clear answer, and a straight statement of whether this can wait.