Physiological AI
Models trained on HRV, respiration, sleep rhythm, and movement — each one physics-informed and validated against ground-truth instrumentation.
An indigenous, scalable platform for cognitive, emotional, and spiritual wellbeing.
Built for educational institutions, wellness centres, and research facilities. Five verticals. Four stages. One coherent stack — from sensor to insight.
Architecture
Sense → Infer → Guide → Learn
A closed loop that begins with the body and ends with the literature — and starts again.
STAGE 01
Sense
Wearables and mobile interfaces collect multimodal data — physiological, behavioural, and self-reported — without interrupting daily life.
STAGE 02
Infer
AI models estimate mental and physiological states with calibrated uncertainty, drawing on physics-informed and physiology-aware priors.
STAGE 03
Guide
Personalised feedback grounded in cultural wisdom and clinical evidence — delivered with restraint, not nudges.
STAGE 04
Learn
Privacy-preserving, research-grade datasets that flow back into the science — advancing the field as the platform grows.
Technical components
The stack, briefly.
Behavioural analytics
Attention tasks, reaction-time measurement, and longitudinal interaction patterns — turned into clinically meaningful trajectories.
Wisdom RAG
Retrieval-augmented generation over Indic knowledge systems — so guidance is rooted in tradition, not synthesised from generic web data.
Research datasets
De-identified, consented, longitudinal datasets — the foundation for both internal research and external collaboration.
Verticals
Five domains, one continuous mind.
Each vertical is a research programme as much as a product line — and each shares signals with the others, because the mind does not respect tidy boundaries.
VERTICAL 01◐
Attention
Modelling instability, restlessness, and task disengagement — across study, work, and practice contexts.
VERTICAL 02◑
Stress
Capturing arousal, anxiety, and emotional recovery — with attention to chronic, sub-clinical patterns.
VERTICAL 03◒
Sleep
Tracking rhythm, routine regularity, and recovery — without consumer-grade overclaiming.
VERTICAL 04◓
Meditation
Measuring breath, stillness, and the quality of practice — gently, and without grading.
VERTICAL 05◉
Guidance
Culturally rooted AI companions for reflection, mentorship, and contemplative inquiry.
For whom
Designed for institutions that take inner life seriously.
Educational institutions
Universities, schools, and gurukulas integrating attention, stress, and wellbeing into student life — with research-grade rigour.
Wellness centres
Retreats, meditation centres, and therapy practices seeking objective signals to complement subjective methods.
Research facilities
Labs in cognitive science, psychiatry, and contemplative studies looking for an instrumented, ethically governed substrate.
Ready to see the hardware?
Our flagship device, SakshiSense, is the first endpoint of the Manas AI platform — a quiet companion for meditation practice.
Meet SakshiSense