Omics Data Automation

Omics Data Automation (ODA), now operating as datma, was established in 2016 by co-founders Ganapati Srinivasa, Chris Corless MD, PhD, and Kemal Sonmez, PhD. The company's inception was influenced by the founders' experience with the Intel Collaborative Cancer Cloud, initially concentrating on the efficient storage and visualization of multidimensional healthcare data. Based in Oregon, the firm has since evolved, now positioning itself at the forefront of federated Real-World Data platforms.

The company's core business revolves around a platform, datma.FED, which enables secure collaboration between healthcare data custodians, like hospitals and clinics, and data consumers, such as pharmaceutical companies. This technology addresses the challenge of data silos by integrating disparate healthcare data types, including patient clinical histories, genomic data, imaging, and other research data, without the data ever leaving the custodian's infrastructure. This "compute-to-data" approach ensures patient data remains secure and under the control of the provider. The business model generates revenue through a shared-upside system; as more data consumers join the federated network and utilize the data, the data custodians receive a share of the revenue. The value and subsequent revenue are determined by factors such as the scope and volume of the data, its utility (completeness, recency, longitudinal coverage), and the ability to tokenize it for linking de-identified data across different custodians.

datma's platform serves the precision medicine and diagnostics market by providing a vital data infrastructure. Its clients include healthcare organizations, laboratories, and pharmaceutical companies that require access to comprehensive, ready-to-use datasets for research, evidence generation, and the development of AI-based diagnostic tools. For instance, the platform's Federated Biomarker Explorer allows users to check for biomarker coverage across the network before committing resources, enabling them to fill gaps in their existing datasets. A significant milestone for the company was the opening of an office in Bangalore, India, in August 2022 to scale its technology globally and support a growing demand for its federated learning and causal inference solutions.

Keywords: federated data platform, healthcare data monetization, real-world data, precision medicine, multi-omics data analysis, bioinformatics, data custodians, compute-to-data, clinical data integration, genomic data infrastructure, biomarker discovery, secure data sharing, healthcare AI, data silos, datma.FED, Ganapati Srinivasa, Chris Corless, clinical trial data, life sciences technology, health-tech