AI-powered remote assessments analyze vocal micro-tremors, speech patterns, and motor skills to detect early-stage Alzheimer's and neurological decline — from any browser.
"The rainbow arches across the sky, a bridge of colors connecting the earth to the heavens."
Alzheimer's begins 10-20 years before symptoms. We listen for it that early.
Alzheimer's and other neurodegenerative diseases begin developing 10-20 years before clinical symptoms appear. Traditional cognitive tests (MMSE, MoCA) only catch disease after significant brain damage has occurred.
Our AI platform analyzes micro-tremors in vocal cords, speech articulation patterns, and fine motor control during interactive browser-based exercises — detecting neurological changes with 94% sensitivity, years before physical symptoms manifest.
Simple browser exercises, transformed into early detection.
AI analyzes 47 acoustic features including micro-tremor frequency, pitch variability, and articulation speed — detecting subtle vocal changes linked to early-stage Alzheimer's.
Speech AIInteractive browser games track tapping speed, trajectory accuracy, and micro-tremors during fine motor tasks — detecting cerebellar and basal ganglia dysfunction.
Motor AnalysisDeep learning models integrate multi-modal data to create comprehensive cognitive profiles, tracking decline patterns over time with 94% sensitivity.
Deep LearningContinuous monitoring and trend analysis detect subtle changes in cognitive function over weeks and months — enabling early intervention.
Predictive AIRead the paragraph below. Our AI analyzes micro-tremors and speech patterns.
AI analyzing: 47 acoustic features · 12ms granularity
Earlier detection vs. traditional cognitive assessments
Detection sensitivity in clinical validation studies
Complete assessment time — patient-friendly
Patient satisfaction rate with remote assessments
"Early detection is the single most powerful tool in the fight against Alzheimer's."
NeuroSift empowers every stakeholder in cognitive healthcare.
Get objective, quantitative data on cognitive decline to support clinical decisions.
Screen patients remotely for early signs of cognitive impairment during routine checkups.
Monitor patients between visits with continuous, at-home cognitive assessments.
Accelerate clinical trials with standardized, remote cognitive endpoint collection.
"NeuroSift detected vocal micro-tremors in a patient who scored perfectly on the MMSE. 14 months later, we confirmed early-stage Alzheimer's. This technology is revolutionary."
"We've reduced unnecessary referrals by 60%. The AI's ability to distinguish normal aging from pathological decline is truly remarkable."
"Our patients love the 12-minute, at-home assessments. We're now catching cognitive decline 5-7 years earlier than we ever could before."
Neurologist specializing in neurodegenerative diseases. Former faculty at Harvard Medical.
AI/ML expert with specialization in speech processing and digital biomarkers.
Clinical psychologist with 20+ years in cognitive assessment validation.
Cognitive science PhD. Former product lead at a top digital therapeutics company.
Tell us about your practice or research, and we'll show you how NeuroSift can help.
Deploy NeuroSift in your practice in days. Start catching Alzheimer's years before symptoms appear.
Get your practice set up with our HIPAA-compliant assessment platform in under 2 hours.
Patients complete the 12-minute assessment from any browser, anywhere.
Receive AI-powered reports with early detection insights and intervention recommendations.