Smartphone-First Brain Health Monitoring

Smartphone-First
Brain Health
Monitoring

Adaptive cognitive tests Β· caregiver alerts Β· research-ready data.

Currently onboarding pilot users. No spam.

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NeuroScreen App - Cognitive Health Dashboard
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See It In Action

Watch Wayloom in Action

Discover how Wayloom helps you monitor cognitive health through simple, engaging assessments.

How It Works

Wayloom.ai: Your Pathway to Early Awareness

Wayloom.ai is more than an app β€” it's your daily bridge between science and self-care. It begins by assessing your risk for dementia, and then evolves into a daily cognitive health companion that grows with you.

1

Detect – Find Your Risk Early

Personalized, Adaptive, and Globally Intelligent.

Take a 7-minute NeuroScreen test anywhere, anytime. Wayloom.ai measures your memory, focus, and reaction time through AI-powered tasks, then automatically adjusts for your culture, language, and background. Your results are compared against international datasets to build your personalized risk profile β€” detecting cognitive changes years before symptoms appear.

Wayloom.ai's intelligence grows with diversity β€” every region helps refine a smarter, more inclusive model.

2

Understand – Translate Data into Clarity

Wayloom.ai doesn't just give you numbers β€” it explains what they mean.

Get clear insights in plain language: Stable, Monitor, or High Risk β€” with explanations of what influenced your score. Every result is backed by transparent AI and clinical validation, so you understand exactly why your score matters.

Clarity, not complexity.

3

Act – Turn Insight into Daily Action

Once Wayloom.ai identifies your cognitive pattern, it becomes your daily brain coach.

Receive personalized mental workouts, medication reminders, and safety alerts for caregivers. Each recommendation adapts to your profile and habits β€” transforming Wayloom.ai from a simple test into your continuous brain-health companion.

Small daily actions build lifelong resilience.

4

Learn – Adaptive Intelligence That Grows With You

Wayloom.ai learns as you do.

Every interaction helps the AI understand your unique cognitive rhythm. Over time, it adapts test difficulty and feedback to your performance β€” evolving from screening to true prevention support tailored to you.

The more you use it, the more it understands you.

Wayloom.ai finds your dementia risk β€” then stays by your side every day to protect your mind.

Science meets empathy, in the palm of your hand.

For Who

Wayloom.ai is designed for everyone involved in cognitive health β€” from individuals monitoring their own brain health to professionals advancing research.

Patients

Keep your mind in motion.

Wayloom.ai is designed for older adults who want to monitor and protect their cognitive health β€” even if they feel fine today. With short daily check-ins and easy-to-read insights, you'll know your brain's rhythm, spot changes early and take action on your terms.

Caregivers

You care for someone who matters.

Whether it's a parent, partner or friend, Wayloom.ai gives you peace of mind with safe-zone alerts, missed-medication reminders and shared insight summaries. Focus on moments that matter β€” Wayloom.ai handles the tracking.

Clinicians

Get beyond the one-off clinic visit.

Wayloom.ai delivers longitudinal cognitive data from real-life use-cases, interpretable biomarkers and risk trajectories β€” so you can detect decline earlier, tailor care, and engage patients proactively.

Researchers & Labs

Join a platform built for discovery.

Wayloom.ai supports configurable test modules, global data collection and collaboration on co-authored studies. If you're exploring digital biomarkers, mobile neuro-tests or early dementia prediction, we'd love to work with you.

Ready to get started?

Research & Collaboration

Join the Science Behind Brain Health

Wayloom.ai is not just a product β€” it's a research platform built for discovery, partnership, and global impact.

Early detection and monitoring of cognitive health require high-quality data, cross-cultural validation and collaborative science. We're inviting researchers, clinicians, labs and institutions to shape the future of brain-health monitoring.

1

Global Data & Norms

We adapt our NeuroScreen tests for language, culture and education, so partners can work with locally-relevant cognitive benchmarks.

2

Open Studies & Publications

Co-author papers, pilot studies or clinical trials using Wayloom.ai's platform and data-pipeline.

3

Modular Research Tools

Access our configurable test modules (cognitive tasks, sensor-metrics, safe-zone alerts) to tailor studies to your needs.

4

Ethics & Compliance-Ready

Designed for HIPAA / GDPR compliance, with built-in workflows for anonymised, consent-based data collection and sharing.

Backed by neuroscience, AI adaptive testing, and data from early-stage pilot users. Designed for research, built for real-world impact.

Frequently Asked Questions

1

Who can partner?

2

What does collaboration involve?

3

What's the timeline?

4

Is there cost?

Roadmap

Research & MVP Development Roadmap

A structured path from discovery to public launch, built on research, validation, and user-centered design.

Month 0-2
CompletedPhase 0

Discovery & Foundation

Deep user research (older adults, caregivers, clinicians)

Market & competitor scan (digital cognitive tests, global norms)

Research report (user personas, pain-points, market gaps)Hypothesis list & validation planRegulatory/ethics checklist
Month 2-4
In ProgressPhase 1

MVP Scope Definition & Prototype Design

Distill MVP feature set (must-have only) using prioritization (MoSCoW, RICE)

Wireframes & interactive prototype for mobile app + dashboard

Feature-list documentInteractive prototypeLocalization specification & test matrix
Month 4-7
UpcomingPhase 2

MVP Build & Internal Testing

Build minimum product: mobile NeuroScreen test + risk-profile engine

Integrate sensor/biomarker logic, adaptive testing algorithm

Working MVP (internal build)Usability test reportBug/issue backlog
Month 7-10
UpcomingPhase 3

Pilot Launch & Research Study

Launch closed-pilot study with selected participants

Collect data, monitor engagement, track key metrics

Pilot launch documentationInterim data reportUpdated model/algorithm based on pilot findings
Month 10-13
UpcomingPhase 4

Iteration & Validation

Refine product based on pilot feedback (UI/UX, polishing feature flows)

Expand participant base (multi-country or multi-site)

Version 1.0 release candidateResearch manuscript draft(s)Network of partner clinics/labs
Month 13-16
UpcomingPhase 5

Pre-Launch & Go-To-Market Preparation

Final product tweaks, scalability planning, backend infrastructure readiness

Marketing/landing-page readiness (traction, wait-list, lead capture)

Go-to-market planLanding page live with wait-listLaunch KPI dashboard ready
Month 16 onward
UpcomingPhase 6

Public Launch & Scale

Public release to target market(s)

Monitor metrics: acquisition, retention, referrals, clinical adoption

Publicly released productGrowth dashboardOngoing roadmap for next-gen features
Month 0-2
CompletedPhase 0

Discovery & Foundation

Deep user research (older adults, caregivers, clinicians)

Market & competitor scan (digital cognitive tests, global norms)

Research report (user personas, pain-points, market gaps)Hypothesis list & validation planRegulatory/ethics checklist
Month 2-4
In ProgressPhase 1

MVP Scope Definition & Prototype Design

Distill MVP feature set (must-have only) using prioritization (MoSCoW, RICE)

Wireframes & interactive prototype for mobile app + dashboard

Feature-list documentInteractive prototypeLocalization specification & test matrix
Month 4-7
UpcomingPhase 2

MVP Build & Internal Testing

Build minimum product: mobile NeuroScreen test + risk-profile engine

Integrate sensor/biomarker logic, adaptive testing algorithm

Working MVP (internal build)Usability test reportBug/issue backlog
Month 7-10
UpcomingPhase 3

Pilot Launch & Research Study

Launch closed-pilot study with selected participants

Collect data, monitor engagement, track key metrics

Pilot launch documentationInterim data reportUpdated model/algorithm based on pilot findings
Month 10-13
UpcomingPhase 4

Iteration & Validation

Refine product based on pilot feedback (UI/UX, polishing feature flows)

Expand participant base (multi-country or multi-site)

Version 1.0 release candidateResearch manuscript draft(s)Network of partner clinics/labs
Month 13-16
UpcomingPhase 5

Pre-Launch & Go-To-Market Preparation

Final product tweaks, scalability planning, backend infrastructure readiness

Marketing/landing-page readiness (traction, wait-list, lead capture)

Go-to-market planLanding page live with wait-listLaunch KPI dashboard ready
Month 16 onward
UpcomingPhase 6

Public Launch & Scale

Public release to target market(s)

Monitor metrics: acquisition, retention, referrals, clinical adoption

Publicly released productGrowth dashboardOngoing roadmap for next-gen features
Our Team

Meet the Minds Behind Wayloom.ai

A diverse team of innovators, researchers, and technologists working together to transform cognitive health monitoring.

Fedi Naimi

Fedi Naimi

Graduate Research assistant and Co-founder

Fedi Naimi is an AI innovator and researcher on a mission to decode the mind. Co-Founder and CEO of Elepzia, a deep-tech lab backed by NVIDIA Inception and Microsoft for Startups, he now leads Wayloom.ai, where digital biomarkers and adaptive intelligence meet to predict and prevent dementia. From his base at GVSU, Fedi merges cognitive science, biotechnology, and AI to build the future of brain health.

Halee Belghouthi

Halee Belghouthi

Graduate Research assistant and Co-founder

Halee Belghouthi is a data scientist and bioinformatics researcher fascinated by how patterns in data can uncover the invisible β€” from how we think to how we change. At Wayloom.ai, she transforms large-scale cognitive datasets into adaptive AI tools that screen and monitor early signs of dementia, bridging the gap between clinical research and everyday care. Grounded in health data, machine learning, and human behavior, Halee brings analytical rigor and intuition to the evolving field of AI-driven health. Her work rests on one belief: when we connect the right data, we can understand people before symptoms ever speak.

Suhila Sawessi

Suhila Sawessi

Research Advisor

Dr. Suhila Sawesi is a nationally recognized leader in health informatics, known for bridging advanced AI research with real-world healthcare solutions. A driving force behind graduate health tech programs and national informatics initiatives, she brings a rare mix of academic depth and applied impact. As a leadership figure in the American Medical Informatics Association (AMIA) and an award-winning mentor, Dr. Sawesi shapes the future of digital health at both institutional and national levels. At Wayloom.ai, her vision directly powers the mission: turning complex health data into AI-driven tools that support early diagnosis, improve decision-making, and keep care human.

Together, we're building the future of brain health monitoring.

Our Partners

In Partnership With

Collaborating with leading institutions to advance cognitive health research and innovation.

Grand Valley State University Logo

Grand Valley State University - College of Computing

Working together to advance research in digital health, cognitive monitoring, and AI-driven diagnostics.

Get In Touch

Let's Connect

Have questions, ideas, or want to collaborate? We'd love to hear from you.