Unlock new research questions with real-world mobility data
Go beyond simple actigraphy with 24 technically and clinically validated Digital Mobility Outcomes — generated from a single wearable, captured in daily life, and delivered on one integrated platform alongside your eCOA and eCRF data.
Built on Mobilise-D, the world’s largest clinical mobility study
€50m
Over 5 years of research & trials
300+
Scientists, clinicians & industry experts
100+
Papers in leading journals
~2500
Participants in clinical trials
A comprehensive suite of sensitive mobility measures
24 Digital Mobility Outcomes across 5 domains — from walking volume and gait speed to rhythm and variability — developed by the team who led Mobilise-D and designed specifically for unstructured, real-world environments.
Walking Duration
Total time spent walking over the 7-day recording period, measured in unstructured daily life.
Walking Speed
Total time spent walking over the 7-day recording period, measured in unstructured daily life.
Cadence
Total time spent walking over the 7-day recording period, measured in unstructured daily life.
Walking Bout Count
Total time spent walking over the 7-day recording period, measured in unstructured daily life.
Stride Variability
Total time spent walking over the 7-day recording period, measured in unstructured daily life.
+19
more Digital Mobility
Outcomes
Outcomes
Capture dimensions of mobility that simple step counts and in-clinic tests cannot reach — enabling research questions that were previously impossible to answer.
Address novel research questions
24 Digital Mobility Outcomes across 5 domains give researchers significantly more colour than simple step counts — opening up research questions that were difficult or impossible to answer with traditional methods. Here are a few examples:
Interventional studies
Sensitive, meaningful outcome measures that can detect real-world treatment effects with greater ecological validity than clinic-based assessments.
Predictive modelling
A rich feature set for modelling disease progression, risk of specific events such as hospitalisation or mortality, and long-term outcomes.
Early detection
Subtle changes in real-world gait often precede clinical symptoms. DMOs provide the sensitivity to explore early-warning signals of disease progression.
Capacity vs. performance
Explore the relationships between what participants say they can do, what they can do in clinic, and what they actually do in daily life.
Cross-cohort mobility research
Understand how real-world mobility behaviours differ — and overlap — across conditions, populations, settings and demographics.
These are just a few examples. With 24 DMOs across 5 domains, researchers can explore questions spanning walking volume, pattern, pace, rhythm and variability — from dose–response and symptom dynamics to digital phenotyping and treatment response.
Have a research question in mind? We’d love to help you design a study that captures mobility the way it truly manifests — in your participants’ daily lives.
Technically & Clinically Validated
The most extensively validated real-world mobility measurement pipeline available, developed through the €50m Mobilise-D project with engagement from both the EMA and FDA.
Technical Validation
The most extensive validation of a multi-stage algorithmic pipeline to estimate walking speed from a single wearable device. Proof that it reliably estimates Digital Mobility Outcomes in real-world settings
100+
Participants
6
Cohorts
Clinical Validation
A 2-year clinical validation study established construct validity for multiple DMOs. Work ongoing establishing minimal significant differences and predictive capacity
~2,400
Participants
4
Cohorts
Construct validity established across:
Parkinson’s
0
DMOs Validated
COPD
0
DMOs Validated
Multiple Sclerosis
0
DMOs Validated
Prox. Femur Fracture
0
DMOs Validated
Modular, cost-effective, all in one platform
Store and manage all your study data in one place — mobility, eCOA, eCRF and more — for an efficient, integrated research solution that scales with your protocol.
eCOA & eCRF
Capture clinical and participant-reported data alongside mobility outcomes on a single platform — no need for separate vendors or parallel data pipelines.
One integrated platform
Manage devices, participants, forms and DMOs through a unified interface. Cross-validated datasets, one export, one source of truth for your analysis.
Automated & quality-assured
Validated algorithms run automatically with results ready to view immediately. Built-in quality checks, project-level reporting and interpretation support.
Talk to us about your research proposal
Whether you’re scoping a grant application, designing a trial or exploring a new research direction, we can help you build real-world mobility measurement into your study — often more cost-effectively than you’d expect.