Trusted Data Infrastructure for Medical AI
Klyriq transforms fragmented clinical data into trusted resources for AI training, validation and benchmarking.
Building the data layer that connects healthcare institutions with the next generation of medical AI.
Medical AI is advancing. Data access remains the bottleneck.
India generates enormous amounts of healthcare data across hospitals, diagnostic centres and research institutions. Yet relevant data can remain fragmented, difficult to access, inconsistently annotated and challenging to use for AI development and independent validation.
Fragmented Data
Clinical data is distributed across hospitals, diagnostic centres and research institutions.
Annotation Challenges
High-quality medical AI requires accurate, clinically informed annotation.
Governance & Access
Healthcare data requires appropriate privacy, permissions, provenance and controlled access.
Validation Gap
AI models need reliable and representative datasets for independent evaluation.
From clinical data to AI-ready evidence.
Klyriq aims to provide the infrastructure required to transform appropriately governed clinical data into trusted resources for medical-AI development and evaluation.
More than data. Trusted clinical infrastructure.
AI-Ready Datasets
Task-specific Indian clinical datasets prepared for machine-learning workflows.
Expert Annotation
Clinically informed annotation and structured quality-control processes.
Independent Validation
Unseen Indian cohorts for evaluating model performance and generalization.
AI Benchmarking
Standardized evaluation of medical-AI systems across relevant clinical datasets.
Built for the medical-AI ecosystem.
Medical AI Startups
Training, fine-tuning and validation data.
Global Healthcare AI
Indian population-specific evaluation and adaptation.
Medical Device Companies
Clinical AI development and validation.
Pharma & Research
Clinical cohorts and evidence-generation resources.
Why Klyriq?
Task-Specific
Built around real clinical AI requirements.
Indian Representation
Focused on data relevant to Indian populations.
Clinically Annotated
Designed around expert-informed labels and validation.
Quality Controlled
Structured provenance, metadata and data-quality processes.
Continuously Refreshable
Designed for ongoing AI development and evaluation.
Data → Evidence
Connecting training resources with independent validation and benchmarking.
Our long-term moat is not simply more data. It is the combination of healthcare partnerships, governance, annotation, quality and validation.
Building the data layer for India's medical-AI ecosystem.
India's healthcare ecosystem spans hospitals, diagnostic networks, medical colleges, laboratories and research institutions. Klyriq aims to help make appropriately governed clinical data more usable, trusted and accessible for medical-AI development and evaluation.
Our vision
To become the trusted data and evidence infrastructure powering the next generation of medical AI in India.
Klyriq is currently at the idea and early-validation stage. We are focused on validating the most important data requirements, developing a focused proof of concept and building the partnerships needed to create a trustworthy clinical-data infrastructure.
Current Stage — Idea / Early ValidationBetter AI needs better clinical evidence.
Help us build the trusted data layer for medical AI in India.