Motif transforms raw wearable sensor streams into validated clinical measures, automatically. No custom pipelines. No PhD required.
of clinical trials miss deadlines due to data management inefficiencies
average time to build a custom analysis pipeline for each new wearable study
annual cost of a specialized data scientist to process actigraphy data manually
Upload data from any wearable: ActiGraph, Apple Watch, Fitbit, Garmin, Empatica, or raw CSV. Motif normalizes everything into a unified signal layer.
AI classifies activities of daily living, wheelchair propulsion, gait patterns, and sedentary behavior from raw accelerometer streams.
Validated sleep-wake detection and staging algorithms that match polysomnography benchmarks, derived from actigraphy alone.
Export validated measures in formats clinical trials actually need: epoch summaries, compliance reports, and FDA-compatible data packages.
Drop in raw sensor files or connect via API. Any device, any format.
AI models classify activity, detect sleep stages, and flag anomalies in real time.
Clinical-grade reports, validated measures, and research-ready datasets. Automatically.
Motif is building the analytical layer that makes every wearable study faster, more reliable, and accessible to any research team.