Products
SSTEP (Seamless Scalable Tensor‑expression Execution via Partitioning) is a next‑generation computational pathology platform that enables deep neural networks to train directly on full‑resolution whole slide images (WSIs) using standard, commodity GPUs. By removing the GPU memory barrier that has constrained the field for more than a decade, SSTEP unlocks a new class of high‑accuracy, spatially aware AI models for diagnostics, prognosis, and large‑scale biomedical research.
Read more: SSTEP: Scalable End‑to‑End Deep Learning for Gigapixel Whole Slide Images
Fidelis is an end-to-end analytics ecosystem engineered for the extreme scales of modern science. We provide the tools to compress, transport, and analyze massive datasets without sacrificing accuracy or performance.