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Trust the data before trusting the AI. A family health platform that verifies every reading before NVIDIA Nemotron reasons over it.
A virtual angiogram: predicts CAD and LAD/LCX/RCA stenosis from routine clinical data, explains every number exactly, and maps it onto a real 3D heart. It also says when it doesn't know.
AEGIS is an AI-powered platform that monitors microservices, detects anomalies using machine learning, and generates intelligent root-cause analysis to help developers resolve incidents faster.
Color a schematic heart with CAD, LAD, LCX and RCA risk from patient chart data.
From physical climate signal to automated municipal relief liquidity in sub-3s via AI & EVM.
A research memo agent where a small Nemotron router sends the writing step to the cheapest capable model: 72% cheaper than all-Ultra, with the quality trade-off measured, not hidden.
Corvex is an AI-powered cardiovascular risk prediction platform combining machine learning, explainable insights, and interactive 3D coronary visualization to support clinical decision-making.
Is the forest behind your credit still standing? Open Sentinel-2 evidence, anchored on-chain, with a smart contract that flags reversals before credits are traded or retired.
when the code beats.
Explore coronary risk from 55 clinical inputs through an interactive 3D heart, clear prediction explanations, and transparent model validation.
CapAble uses AI to track skilling outcomes, employment, wage growth, and long-term programme impact.
An AI-powered cardiovascular risk prediction platform that analyzes patient data to predict coronary artery disease and visualize LAD, LCX, and RCA stenosis through interactive insights.
Interactive 3D heart anatomical viewer and explainable ML predicting CAD risk and multi-vessel stenosis from clinical biomarkers.
An interactive AI-powered cardiovascular risk exploration platform combining machine learning predictions, vessel-specific analysis, explainable insights, and 3D coronary visualization.
Six simple questions. Four AI models. See which heart artery may be at risk on a 3D heart, and why, in plain words.
Coronary risk, mapped to the heart: per-vessel CAD prediction on an interactive 3D heart, with SHAP explanations, uncertainty and an honest "uncertain: refer".
Turn satellite change into auditable flood evidence: native radar and optical maps, explicit unknowns, and road-access proofs that show which route conclusions survive uncertainty.
CardioMap 3D turns cardiac risk predictions into an interactive 3D heart, making coronary artery disease visual, explainable, and actionable.
Multimodal AI predicting CAD and LAD/LCX/RCA stenosis from 54 clinical inputs, rendered onto an interactive 3D beating heart with sub-25ms calibrated TreeSHAP explainability.
Maps multi-vessel stenosis onto interactive 3D WebGL meshes, validated by a multi-modal Byzantine consensus matrix and secured via zero-knowledge privacy circuits.
See the Risk. Understand the Heart. Predicts CAD and per-vessel (LAD/LCX/RCA) stenosis risk from clinical data, explains it with SHAP, and shows it on an interactive 3D heart.
Predicting cardiovascular risks with AI and visualizing heart health through interactive 3D technology for smarter clinical insights.
CardioVision — see coronary artery disease before the angiogram, explained vessel by vessel on a living 3D heart.
