BioStack Nets $9.5 Mn To Build Training Datasets For Medical AI
AI-powered healthtech platform BioStack has raised $9.5 Mn (₹90.4 Cr) in its seed funding round led by Peak XV Partners,…
BioStack, an AI-powered healthtech platform, has successfully raised $9.5 Mn in seed funding, led by prominent investors including Peak XV Partners, Afore Capital, and DCVC. The startup's mission is to build the data infrastructure required for the upcoming era of medical AI. BioStack merges fragmented clinical data from electronic health records, medical imaging, clinical notes, and medications to create proprietary datasets for various purposes.
The primary objective of BioStack is to develop datasets that aid researchers, biotech companies, and medical AI developers in advancing medicine. The co-founder and CEO, Sanat Mishra, highlighted BioStack's commitment to creating a comprehensive data infrastructure that benefits clinicians making decisions today and researchers and AI developers shaping the future of healthcare.
BioStack currently collaborates with various hospitals in the US, Brazil, and Argentina. In India, the startup is facilitating connections between cancer patients and an investigational cancer vaccine program. Additionally, BioStack boasts an impressive track record, having processed over 100 million de-identified patient records, more than 200,000 fragmented X-Rays, MRIs, and CT scans, and millions of telehealth audio transcripts.
De-identified patient records are medical datasets that have had all personal and direct identifiers removed.
The capital raised will be utilized for expanding BioStack's presence in international markets, particularly in India, Brazil, and Argentina. The focus on collecting datasets from India's large population reflects the trend of startups tapping into India's vast resources to create valuable datasets for AI models and physical AI products.
As India is projected to become a $1.3 Bn opportunity for AI training datasets by 2033, BioStack's efforts in building a robust data infrastructure for medical AI are poised to make a significant impact on the healthcare landscape.
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