New tools and methods are completely reshaping the way we do research, discover and develop new medicines, as well as diagnose, treat, and deliver care to patients.
The next wave of transformative companies will reimagine the systems we’ve relied on to develop new medicines and deliver care. This is not a far-off future, but one that can be built with the tools that are emerging now. We invest in a future where medicines are increasingly designed, not discovered; where tools capture context-dependent, complex biology; where clinicians and machines can work in tandem; and healthcare is more proactive, predictive, and personalized.
We believe in a data-driven revolution and invest from scientific discovery to clinical deployment. The best investment opportunities exist at the intersection of transformational science and technology.
Advancing breakthrough therapeutics through the purposeful integration of engineering and science
Unlocking the patterns of progressive polygenic diseases through genetics, deep phenotypes, AI, and translational model systems
Developing genomic medicines that insert therapeutic genes into safe harbors within the DNA
Combining early detection and comprehensive cancer management before, during, and after a diagnosis
Rethinking clinical workflows with embedded AI diagnostics and care coordination
Utilizing LLMs and neuro-symbolic AI to improve and speed regulatory filings
Creating better medicines in areas of clinical unmet need. New methods that embrace the complexity of biological systems. Novel models of discovery and development that improve the likelihood of translational success. Therapeutic area agnostic.
Tools, workflows, and infrastructure to enable the highest fidelity measurement of human biology in the real world. Leveraging technology to reduce costs and increase the speed of insights for one of the most critical stages of drug development – evaluation of safety and efficacy in human subjects.
AI systems and provider workflows that enhance providers to deliver higher-quality care at scale.
Tools that enable new dimensions of understanding. Diagnostics that capture the nuance of complex diseases and improve the delivery of care. Data, compute, and software infrastructure fit for life science data and scientific workflows.
Systems and workflows that enable health systems to operate more efficiently and effectively.
