Infoblocks is an AI-powered cognitive companion that learns by observing each user’s digital behavior — understanding preferences, blind spots, and decision patterns without requiring direct input. Over time, it evolves into a personalized intelligence layer that anticipates needs, refines judgment, and gently corrects cognitive bias through continuous exposure and interaction.

NeuroLens is an AI imaging platform that integrates deep-learning algorithms to enhance, reconstruct, and analyze medical images across multiple organ systems — including the brain, heart, and other anatomical structures. It helps clinicians reduce image noise and motion artifacts, improve clarity and contrast, and identify subtle morphological or functional abnormalities that might be difficult to detect through conventional imaging alone.

PRIZM is an AI Diagnostic Lab that integrates data from imaging, molecular testing, and digital pathology to deliver faster, more precise clinical insights. Built on multi-modal machine learning, PRIZM connects the dots between what’s seen, what’s measured, and what’s predicted — transforming fragmented diagnostic information into a unified view of patient health.