AI-native digital medicine

Parkinson’s care that runs on data, not memory.

Koios reads the everyday signal of life with Parkinson’s and turns the noise into something steady — objective measures, every day, not just at the clinic.

The gap

Two visits a year. Eight thousand hours of life.

~0.6%of a year with Parkinson’s is spent in front of a neurologist. The rest is recalled from memory at the next appointment.

Neurology runs on snapshots: a short exam, a questionnaire, and a patient trying to recall how a hard month felt. But symptoms shift hour to hour, and quality of life is difficult to capture in a fifteen-minute appointment.

So medication gets adjusted slowly, decline shows up late, and no one can measure whether care is working. Koios covers that gap — turning the time between visits into objective data that patients and clinicians can act on.

How Koios works

Everyday devices. Clinically meaningful signal.

No clinic-grade hardware. No clunky wearables. No daily diary to fill in. Just the phone and smartwatch people already own.

1

Wear what you already wear

A smartphone and a smartwatch. Parkiwatch runs quietly in the background — no tasks to complete, no change to daily routine.

2

Turn movement into measures

Wrist movement becomes three validated kinematic measures — tremor, bradykinesia and dyskinesia — alongside supportive digital health measures.

3

Share with your healthcare professional

Measures reach your healthcare professional via a dashboard and PDF reports, between clinic visits.

Parkiwatch is a Class IIa Software as a Medical Device (EU MDR 2017/745) intended for the continuous, passive detection and quantitative assessment of kinematic patterns representative of tremor, bradykinesia and dyskinesia in adults with Parkinson’s Disease. It does not diagnose Parkinson’s Disease, does not recommend or change your medication, and does not replace the judgment of your healthcare professional.

Who it’s for

One platform. Three perspectives on the same life.

In their words

The difference shows up in everyday life.

“

In my current scheme, sometimes I forget that I have Parkinson's.

Person living with Parkinson's, 53
“

Koios helps me identify a patient's pains quickly and offer better care.

A.G. · Clinician
“

Sharing objective data with my doctor has improved our conversations significantly.

Bert, 55 · Ghent
Science

Credibility you can cite.

Peer-reviewed publications, and research conducted with hospitals across Belgium as sites of the KC-QI-2023 study.

Read the science →
Research sites · KC-QI-2023
AZ DeltaAZ GroeningeAZ OostendeCHU LiègeCHU Charleroi

Their listing does not indicate routine clinical use of Parkiwatch at these sites.

Backed by
imec.istartVLAIO
Backed by

Investors and funders behind Koios.

Evercurious VC
Astylab Ventures
imec.istart
VLAIO
BlueHealth Innovation Fund
Lumiares
Let’s talk

Let’s give care the full picture.

Koios turns everyday life with Parkinson’s into evidence that patients, clinicians and researchers can act on.