Representation
Can brain-body regulation under naturalistic contemplative conditions be represented as a compact dynamical model that supports real-time inference?
Applied Research in
Augmented Intelligence
Cogitos Labs is an early-stage R&D lab working at the intersection of AI and neurotechnology, focused on affective Brain-Computer Interface Systems. We are currently modelling how the brain regulates emotion, and building a real-time closed loop biofeedback system for self-regulation support.
Contemplative Neurodynamics Program
The brain's ability to regulate itself is most visible under contemplative practices like Yoga — meditation, breathing, and asanas. These are conditions where regulation is deliberate, observable, and reproducible. Our first R&D program uses synchronized recordings of brain and body signals — EEG, heart rate, respiration — to build computational models of how the brain shifts between regulatory states. Three questions drive the work.
Transition Markers
What physiological and neural markers signify transitions between regulatory states — and can these be detected with sufficient lead time to enable intervention?
Transfer to AI
What computational principles underlying biological adaptive regulation can be transferred to AI architectures to make them self-regulating?
Target Applications
Our research translates into three areas of application, each building on the same underlying science.
Clinical Platform
A sensing and regulation system for clinical settings — using EEG, heart rate, and respiration — designed to support people dealing with stress disorders, anxiety, and attention difficulties.
Consumer Wearables
The same science, made accessible for everyday use. A lighter wearable for the general population, helping people build emotional resilience outside clinical settings.
Self-Regulating AI
The longer-horizon direction. AI architectures that monitor their own behaviour, detect when they drift from their intended values, and correct course — without external supervision.
How We Work
The core commitments that govern our experiments, computational modelling, architecture and systems development
Naturalistic observation
We study regulation as it actually occurs. Experimental conditions are designed to preserve natural behaviour, not disrupt it.
Co-evolving design
Our experiments inform our models. Our models expose gaps that reshape our experiments. Science and engineering evolve together.
Reusable infrastructure
Everything we build — pipelines, protocols, frameworks — is designed to carry forward. Each phase of the program builds on what came before.
Responsible governance
We follow informed consent and independent ethics oversight. Physiological data is anonymised and encrypted. We comply with India's DPDP Act 2023.
Founding Team
Raja Valiveti
Co-founder
Leads R&D direction, infrastructure design, computational modelling, AI architecture, and systems development.
IIT Kharagpur alumnus. 25+ years in technology, leading development and management of large-scale distributed systems and enterprise AI deployment.
Aruna Yerra
Co-founder
Leads experimental design, participant coordination, physiological data collection, and data governance.
PSG College of Technology alumna, Masters in Applied Electronics. Trained practitioner of Yoga.
Collaborate with us
We welcome conversations with researchers, clinicians, and organisations interested in contemplative neuroscience, self-regulation, or brain-computer interface applications. Write to us about your interest and background.