Collect
Optional journal entries, wearable data, audio-derived features, and typing rhythm can contribute to a richer longitudinal record.
LONGITUDINAL MENTAL HEALTH TRACKING
Mental health is personal.
Your baseline should be too.
NAVI combines journaling, wearable biometrics, and optional behavioral signals to help users understand how mood and well-being change relative to their own history.
Working MVP • Currently in development and validation
HOW NAVI WORKS
Multiple signals. One personal timeline.
NAVI is designed around within-person change rather than one-size-fits-all population averages.
Model
Statistical models evaluate trends, volatility, momentum, and deviations from an individual's recent baseline.
Understand
NAVI turns structured model outputs into accessible insights that help users explore relationships between physiology, behavior, and mood.
BUILT AROUND YOU, NOT AN AVERAGE
Track change in context.
Many mental-health tools capture isolated check-ins. NAVI is being developed to build a personal baseline over time, then identify patterns that matter because they are different for that individual.
- Mood trajectory and trend windows
- Volatility and momentum
- Baseline deviation
- Progressive insights as more data is collected
MULTIMODAL BY DESIGN
Behavioral data meets biometrics.
NAVI is built to integrate multiple sources of information rather than treating any single measure as a complete picture of mental health.
JournalSentiment and longitudinal trends
WearablesSleep, HRV, resting heart rate, recovery, activity
TypingAggregate cadence, pause, and correction features
AudioOptional acoustic features and user-driven recordings
PRIVACY BY DESIGN
Sensitive data deserves deliberate controls.
NAVI is being developed with user-controlled data settings, consent tracking, research opt-in, and clear separation between optional data sources.
- User-controlled cloud synchronization
- Encrypted journal storage
- Exportable user data
- Separate research/data-sharing opt-in
- Typed content and individual keystrokes are not stored by typing-rhythm tracking
NAVI is an early-stage product under active development. It is not presented as a diagnostic or emergency-care tool.
JOURNAL + MODELING
Self-report remains part of the picture.
Journal entries can be analyzed for sentiment and incorporated into longitudinal modeling while remaining one signal among many.
The goal is not to replace a user's perspective, but to make changes over time easier to see and interpret.
FROM MVP TO RESEARCH
A working platform entering validation.
NAVI has progressed beyond the concept stage to a functioning MVP deployed using Google Cloud Platform and Firebase. The next phase focuses on beta testing, scientific validation, privacy and data-governance requirements, and customer discovery.
With appropriate consent, governance, and institutional partnerships, longitudinal multimodal datasets generated through NAVI could support research into relationships between physiology, behavior, and mental-health trajectories.
ABOUT NAVI
Built at the intersection of neuroscience, data, and product development.
NAVI was founded and independently developed by Cole Rivell, a neuroscience researcher pursuing doctoral training through Johns Hopkins University and the National Institutes of Health.
NAVI is currently an early-stage venture undergoing product development and validation.
cole@navi-mentalhealth.com →CURRENTLY IN DEVELOPMENT