Recognizing who you are — not just your diagnosis.
AuVentures builds AI tools that gather and organize a lifetime of scattered medical records into one clear, longitudinal picture — for patients and families living with complex neurodevelopmental and autoimmune conditions, and the clinicians who care for them.
What we build
Tools that bring a scattered medical history into one clear picture.
01
Gather
Bring records scattered across many providers and years into one place.
02
Organize
Digitize and structure them into a single longitudinal timeline.
See the whole picture
Surface patterns over time, so patients and clinicians can see the full story.
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.
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.
— Christine, Founder & CEO
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 beta partnerships, how the tools support clinical work, and how we think about the limits of our role.