An AI assistant that explains lab results, history and notes in plain language, using the person’s own data and a curated knowledge base. Built with retrieval-augmented generation and running in the Healsens app.
The assistant knows the record it is talking about and stays within what it is allowed to do.
Answers use the person’s own results and history, not an average from the internet.
Because the record is longitudinal, the assistant can explain trends, not only single values.
A routing agent picks the right specialist step; tools fetch tests and records when they are needed.
Background comes from a vector knowledge base built from approved content, which can be your own.
It explains and organises. It does not diagnose or give treatment advice, and points to a doctor for medical questions.
The model is chosen per use case and can be changed. What it may see is defined by the tools, not the prompt.
A question in plain words, such as “How has my vitamin D changed since my last test?”
The assistant fetches the relevant results from the record and passages from the knowledge base.
A language model writes the answer from that material, with the person’s own values.
Medical questions are pointed to a doctor. The assistant does not make clinical decisions.
The assistant runs in the Healsens app today. We build the same architecture into your product or project: your records, your approved content, your hosting.
Help users understand their own lab results and how they change over time.
Answer participants’ questions about their own study data, within the study’s rules.
Add a grounded assistant to your product without building the retrieval and agent layer yourself.
We choose the model per use case and can switch. What matters more is what the model is allowed to see and answer.
Yes. The knowledge base is a separate, curated collection that we build from your approved content.
No. It explains and organises a person’s own data and suggests discussing medical questions with a doctor. Healsens is not a medical device.
Tell us what you are working on. We reply by email and, where it fits, suggest a short call to look at a sample together.