Multimodal by design
Movement, heart rhythm, breath, voice, sleep routine, task behavior, and self-report become a unified longitudinal profile.
Manas AI builds intelligent systems that sense, model, and support the dynamics of mind — combining low-cost multimodal sensors, behavioral tasks, physiological AI, and culturally rooted self-regulation tools.
Attention · Stress · Sleep · Meditation · Meaning · Guidance
The vision
We are creating an indigenous, scalable technology platform for cognitive, emotional, and spiritual wellbeing — designed for schools, universities, counselling centres, wellness ecosystems, and research laboratories.
Manas AI integrates wearable sensing, mobile behavioral tasks, AI-based physiological modeling, and reflective guidance to track how attention, stress, sleep, emotion, breath, and practice evolve over time.
Movement, heart rhythm, breath, voice, sleep routine, task behavior, and self-report become a unified longitudinal profile.
Beyond dashboards, the platform supports self-regulation, guided practice, journaling, and wisdom-informed life reflection.
Platform verticals
Each vertical can function independently, while contributing to a deeper cross-domain model of cognitive and emotional life.
Tools for attention instability, restlessness, impulsivity, and task disengagement.
Physiological and behavioral modeling of arousal, anxiety, and emotional recovery.
Sleep rhythm, restlessness, recovery, and routine regularity for better attention and mood.
Measurement and feedback for breath, chanting, stillness, calmness, and self-regulation.
A culturally rooted AI layer for reflection, IKS learning, life decisions, and mentor support.
Technology stack
From signal acquisition to inference, intervention feedback, and research-grade datasets.
Low-cost wearables and mobile interfaces collect movement, PPG, HRV, breath, speech, sleep, task, and self-report data.
AI models estimate attention, arousal, recovery, routine stability, meditation quality, and emotional regulation.
Personalized feedback connects physiological patterns with practice, reflection, counselling, and self-regulation pathways.
Longitudinal datasets support validation, publications, institutional collaboration, and better human-centered AI.
Models for HRV, breath, movement, sleep rhythm, arousal, stillness, and recovery dynamics.
Attention tasks, reaction time, response variability, cognitive load, and digital activity signatures.
Structured retrieval over Indic knowledge systems for reflective guidance, ethical dilemmas, and practice design.
Attention, stress, sleep, meditation, and self-regulation datasets for science, product validation, and AI development.
Build with us
We welcome collaborations with universities, research groups, counselling centres, schools, wellness organizations, and technology partners.