Manifold

Initially established as an AI lab in 2016, Manifold pivoted in 2022 to address the technological and data infrastructure challenges faced by healthcare organizations. The company was founded by Vinay Seth Mohta, Vivek Mohta, Sourav Dey, and Rajendra Kuppola. The founding team possesses decades of combined experience in enterprise software, healthcare, research, and AI, with members having studied at MIT and worked at companies like Google. Vinay Seth Mohta, the CEO, and other executives previously held positions at Kyruus.

Manifold operates as a B2B company, providing an AI-powered platform specifically designed for clinical research within the life sciences sector. Its primary clients are cancer centers, rare disease organizations, and research institutions such as the Winship Cancer Institute of Emory University and the Indiana University Melvin and Bren Simon Comprehensive Cancer Center. The business model is centered on its software platform, which streamlines the manual and often complex workflows associated with modern study and data management in clinical research.

The core of Manifold's offering is a unified platform that accelerates clinical research by enabling teams to manage various critical functions more efficiently. Its features allow researchers to enroll and engage study participants, harmonize and curate longitudinal data, and analyze multimodal datasets that include electronic health records, genetic sequencing, and imaging. The platform is designed to securely manage large-scale, controlled-access data and provides AI-powered data analysis and workflow automation. This allows research teams to reduce the time it takes to derive insights from data from months to just minutes, significantly improving research productivity. By replacing legacy systems like spreadsheets, the platform breaks down data silos and facilitates secure collaboration across different organizations. In April 2024, the company announced a $15 million Series A funding round led by TQ Ventures to expand its partnerships and further invest in research and development.

Keywords: clinical research platform, AI in healthcare, life sciences R&D, health data analytics, biomedical informatics, research workflow automation, multimodal data analysis, precision medicine, cancer research technology, rare disease research, data harmonization, clinical study management, secure data collaboration, healthcare technology, enterprise software for research, clinical trial data, longitudinal data studies, research productivity tools, medical software, bioinformatics platform