From Single-Cell Data
To Scientific Discovery

The analytical rigor of Seurat and Scanpy — without writing a single line of code.

Isaac was built by engineers, scientists, and surgeons trained across the Texas Medical Center, MGH/Harvard, and Rice University.

Michael Tyler Guinn, MD PhD

Surgery Resident · Bioengineer

Surgery resident, bioengineer, and computational scientist with bioinformatics experience at Massachusetts General Hospital / Harvard, Baylor College of Medicine, and Rice University.

Ishan Khurjekar, PhD

Research Associate · Computational Biology

PhD computational biologist and research associate with deep expertise in bioinformatics, single-cell genomics, and pipeline development.

Ravi Ghanta, MD

Professor of Surgery · Cardiac Surgeon

Professor of Surgery and cardiac surgeon with deep expertise in translational research and clinical outcomes at the intersection of surgery and biomedical innovation.

General AI can describe biology. Coding tools can run statistics. Isaac is the only platform that does both — and interprets the results.

From raw .h5ad upload to mechanistic interpretation — see the full 12-step pipeline run on a real healthy vs. disease vs. treatment PBMC dataset.

Demo uses publicly available PBMC dataset. No proprietary data shown.