The Infrastructure
Layer for Psychiatry
Existing solutions either provide high-fidelity data from a single modality or low-fidelity data across many sensors. We combine multiple physiological signals with high signal fidelity in a wearable system, enabling reliable detection of meaningful neurophysiological changes.
Market Opportunity
A massive underserved market at the intersection of psychiatric care and digital health.
Technology Differentiation
Four structural advantages that create durable defensibility.
5-Sensor Psychiatric-Specific Design
Unlike general wellness wearables, CogniPatch integrates EDA, EMG, temperature, accelerometry, and cortisol in a single patch. This sensor profile was explicitly selected for bipolar disorder monitoring based on peer-reviewed physiological evidence.
On-Device BiLSTM Inference
The BiLSTM model runs on-device, enabling real-time prodromal detection without cloud round-trips. Patient data is processed locally, minimizing PHI exposure and reducing latency.
HIPAA-First Architecture
Privacy and security are architectural constraints, not afterthoughts. On-device preprocessing, encrypted BLE streaming, role-based access control, and PHI decoupling are built into every layer.
24-27% CAGR Market
The digital mental health monitoring market is projected to grow at 24–27% CAGR through 2029, driven by clinician demand for objective biomarkers and payer interest in reducing inpatient costs.
Leadership
Madhura Abhijit Joshi
Leading CALI's mission to bring continuous physiological monitoring to psychiatric care. Driving product development, clinical strategy, and regulatory pathway for CogniPatch.
Development Timeline
Clear milestones from prototype to commercial launch.
- Hardware prototype built
- 5-channel signal validated
- BiLSTM architecture defined
- Sensor validation in progress
- BiLSTM model development in progress
- Feasibility study protocol in development
- Multi-site study across two institutions
- IRB protocol submission
- Data collection and analysis
- Type II medical device classification
- Clinical data compilation
- Regulatory counsel engaged
- Initial clinical partnerships
- Reimbursement pathway
- Scale manufacturing
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