The Science
Measuring the invisible signals of the mind.
Brainova's research fuses neuroscience, behavioral science, and machine learning to detect subtle changes in mental state long before they become a crisis.
Research Pillars
Six pillars. One goal.
Digital Biomarkers
Continuous behavioral, physiological and contextual signals that reflect mental state.
AI & Machine Learning
Personalized models that learn each individual's baseline and detect drift.
Neuroscience
Grounded in the neural correlates of mood, cognition, sleep and stress.
Computational Psychiatry
Formal models of mental processes turned into measurable metrics.
Signal Processing
Cleaning, normalizing, and combining noisy real-world data.
Ethics & Safety
Consent-driven, privacy-first, transparent and clinically responsible.
The Method
From signals to insight.
We collect consent-based digital signals, normalize them against each person's baseline, and combine them into a daily Mental Wellness Risk Score. Validated through peer-reviewed studies and clinical collaboration.
- 01
Collect
Passive digital signals and minimal check-ins, always with consent.
- 02
Normalize
Each signal is calibrated to the individual's unique baseline.
- 03
Fuse
Multi-signal models detect subtle multi-day drift patterns.
- 04
Explain
Insights are transparent, actionable and human-readable.
- 05
Validate
Continuously benchmarked against clinical and research standards.