The ScaleiQ AI Engine is an AI–powered platform built to ingest and process massive volumes of biomedical data at scale.
It seamlessly integrates imaging, and clinical datasets, applying advanced pipelines to normalize and structure information for valuable insights
Seamlessly combine transcriptomics, proteomics, and metabolomics data into a unified analysis framework with automatic cross-platform normalization and batch effect correction.
The OCT Scanning AI Engine is designed to ingest massive volumes of optical coherence tomography (OCT) images and process them efficiently. In the backend the ScaleiQ convolutional neural network (CNN) enables ScaleiQ to learn from large-scale imaging datasets, improving biomarker detection, disease classification, and precision diagnostics through spatially aware deep learning

SSE is a search engine that empowers researchers and clinicians to explore biomarkers in context. Its differentiator lies in scalable AI intelligence—processing massive datasets to deliver precise, spatially aware insights for discovery and innovation
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