ONYX Research Cloud: Trustworthy AI Infrastructure for Brain Health

Building reproducible, transparent, and auditable AI infrastructure for neuroscience and clinical brain health.

Project Details

We are building Onyx Research Cloud, an AI powered neuroinformatics platform, built to standardize brain information/data, preprocess, acquire validated digital biomarkers and enhance reproducibility.

Today, brain data is fragmented, which makes AI models difficult to reproduce, validate, compare, and safely deploy the data. ONYX addresses this by creating standardized pipelines, version-controlled datasets, transparent AI workflows, and collaborative research infrastructure.

Neuratia Labs, a deep tech neurotechnology company is leading this project and is backed by advisors across neuroscience, medicine, AI, and healthcare innovation. We have filed an Indian patent, have been selected in the NVIDIA Inception Program, and have conducted customer discovery with over 200 clinicians, researchers, and healthcare stakeholders.

The immediate outcome of this project will be a production-ready research platform enabling secure data management, reproducible machine learning workflows, biomarker validation, and collaborative neuroscience research. Longer term, this infrastructure will support safer clinical AI systems and future Brain Digital Twin technologies for precision brain healthcare.

Theory of Impact

Advanced AI systems can only be as trustworthy as the data, validation processes, and scientific infrastructure supporting them. In healthcare, fragmented datasets, inconsistent preprocessing, opaque machine learning pipelines, and poor reproducibility create significant risks for clinical AI deployment.

ONYX Research Cloud reduces these risks by providing standardized data pipelines, reproducible analysis workflows, transparent model versioning, validated biomarker extraction, and collaborative research infrastructure. Rather than creating increasingly complex black-box models, we aim to improve the reliability, traceability, and scientific rigor of AI systems used in neuroscience and brain healthcare.

By enabling independent validation, standardized benchmarking, and reproducible evidence generation, the project contributes to safer and more trustworthy AI deployment in clinical environments where incorrect or non-reproducible AI outputs could directly affect patient care.

People

Affaan Shaikh

Team Member

Grants Received– no grants recorded

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Funding Asks

grantmaking.ai Launch Round

Applied

Minimum

$30,000

Ideal

$200,000

How the money will be spent

Minimum funding ($30,000) would support completion of the ONYX Research Cloud MVP, cloud infrastructure, AI engineering, secure data architecture, and deployment of standardized neuroinformatics pipelines.

Ideal funding ($200,000) would additionally support:

• Expansion of engineering and AI research teams
• Clinical validation with research institutions
• Open benchmarking datasets and reproducibility tools
• Explainability and auditability features for medical AI
• Security, compliance, and governance capabilities
• Development of APIs enabling interoperable neuroscience research
• Preparation for larger multicenter validation studies

Funding would primarily support technical development, research personnel, cloud infrastructure, and validation activities.

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