Research at Khyontek AI

We build AI systems that start with the right question: whose biology does this model actually understand?

Our Approach

We take a multi-modal approach to biological intelligence, integrating genomic sequence models, protein structure prediction, clinical record analysis, and epidemiological data into unified pipelines. Our architecture is designed to be population-aware from the ground up, not population-adjusted after the fact.

AI

Population-aware from the ground up

Disease Focus Areas

Vector-borne and Neglected Tropical Diseases

Diseases prevalent in Northeast India that remain underserved by global research pipelines.

Haematological Disorders

Including thalassaemia and haemoglobinopathies disproportionately affecting communities in the region.

Metabolic Conditions

Type 2 diabetes and related conditions in South and Southeast Asian populations.

Oral Cancers

Linked to regional risk factors specific to Northeast Indian communities.

Data and Infrastructure

We are building a data architecture compliant with India's Digital Personal Data Protection Act (DPDPA) and compatible with the Ayushman Bharat Digital Mission (ABDM) framework. Data sovereignty and community consent are foundational design principles, not compliance checkboxes.

Interested in working with us?

We welcome conversations with researchers, institutions, and organisations aligned with our mission.

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