Recognizing who you are — not just your diagnosis.

AuVentures builds AI tools for patients, families, and providers navigating complex neurodevelopmental and autoimmune care.

A note from our founder

I built AuVentures because I know what it feels like to be cared for in fragments — while carrying the responsibility of connecting the full picture yourself.

Living with autism and autoimmune illness teaches you quickly that the specialists you see, the records you collect, and the story you tell each new clinician rarely come together into one coherent picture of who you are.

AuVentures exists to support the patients, families, and caregivers already doing this work — and to help the clinicians who serve them see the whole picture too. Our tools organize fragmented records, surface patterns over time, and help clinicians see the whole patient — keeping autonomy, privacy, and human dignity at the center of every decision.

The goal is to help more patients access the kind of thoughtful, integrative care that great clinicians already strive to provide.

The goal is to help more patients access the kind of

thoughtful, integrative care that great clinicians already strive to provide.

— Christine, Founder & CEO

Our principles

How we think about responsibility in AI for care.

Patient information serves the care of the patient it belongs to.

Medical records are not raw material for unrelated uses. They represent a person’s history, experience, and care. Information should remain connected to the purpose it was entrusted for.

Clinicians remain accountable for clinical decisions.

AI in this context is supportive infrastructure — helping organize records, surface context, and reduce repetitive administrative work. It is not a substitute for the judgment, responsibility, or relationship involved in care.

People should be able to understand how AI is being used.

Patients and providers have the right to ask what systems are involved, what role they play, and why they are being used. We believe this should be explained clearly, in plain language, without obscuring the details that matter.

We document what we get wrong.

We expect complex systems to make mistakes. When they do, they should be acknowledged, examined, and used to improve the system responsibly. Trust is built by what an organization is willing to admit — not just by what it promises.

Learn more

For patients & families

What this looks like in your visit.

A plain-language guide to where AI may appear in your care, what your provider remains responsible for, and how to ask questions.

For clinicians

How we work with care teams.

Our approach to pilot partnerships, how the tools support clinical work, and how we think about the limits of our role.