Your wearable tells you're stressed. We do something about it.


They give you a number. Not a next step.
Same content for every user, every day.
Recovery needs shift across the menstrual cycle. Most tools ignore this.
Most high-performing individuals have no structured way to manage performance anxiety.
Deep Rest dynamically adjusts interventions to your real-time needs, ensuring every session is precisely what you require.
Receive short, down-regulation practices when you're overwhelmed and only have minutes.
Between tasks, get a brief cognitive reset to clear mental depletion and refocus.
Sessions to reduce cognitive stimulation, and guide you to deep sleep with modalities like Yoga Nidra.
Deep Rest shifts guidance style to adapt to your current state and suggestions.
Builds a profile of your routine, schedule, and physiology while constantly adapting to it.
Reads stress and recovery signals in real time.
Identifies stress elevation and offers a personalized intervention.
Measures what worked. Refines every future session.
Not just HRV — stress, sleep, schedule, menstrual cycle, and goals.
Every session teaches the system what works, for whom, and when.
The right intervention, at the right moment, for your nervous system.
Deep Rest is designed for environments where recovery directly impacts performance and health.
Adapt recovery to practice schedules, game days, and exam weeks.
Restore nervous system function after high-stress clinical shifts.
Build resilience against chronic workplace stress.
Personalize recovery across hormonal cycles and physiological context.
Structured, adaptive pathways for nervous system restoration.
Integrate recovery intelligence into existing health ecosystems.
Ritik's publication :-
Deep Rest integrates with your existing devices — interpreting signals, learning over time, and delivering personalized recovery.

More than 5 years researching nervous-system regulation, deep rest, and contemplative practices at University at Buffalo.

Builds emotion-recognition models from biosignals and video; background in large-scale data systems.