The Human Genome Project successfully mapped the human genome in April 2003, but only completed 85% of the genome mapping until January 2022. Genetic data is challenging to work with due to its large size and complexity. Zephyr AI, a Washington DC-based company, uses predictive analytics to sift through patient data and find patterns or "interrelationships." The team specializes in ingesting large amounts of complex, disparate molecular, experimental, and clinical data using novel machine learning algorithms to draw new insights in the field of patient care, drug development, and healthcare administration. Zephyr AI has adopted Dagster, a software-defined asset framework that provides a declarative approach to managing and orchestrating data. The company uses Dagster to build pipelines with powerful abstractions, a single pane of glass for observability, and a centralized control plane with shared logging and governance. With Dagster's help, Zephyr AI has streamlined its development process, accelerated speed, and improved transparency in their work, allowing them to maintain one master orchestration view while managing multiple distinct deployments with isolated codebases. The company plans to incorporate model training pipelines written in R and expand their models to bring better outcomes and a better healthcare system to more people.