GPU-Powered AI
Intelligence for Radiology
A unified compute and AI platform — deep-learning segmentation, measurement, and image enhancement for every CT and MR study, out of the box.
Everything Radiology AI Needs,
In One Platform
A unified compute and AI layer — GPU-accelerated inference, multi-organ segmentation, and image enhancement, all out of the box.
Optimized GPU Hardware
Purpose-configured GPU nodes for medical AI inference — sub-second results across concurrent studies, zero bottlenecks.
Unified AI Orchestration
Single layer managing model deployment, study routing, inference scheduling, and result delivery across your entire network.
AI Enhancement — CT & MR
Deep-learning reconstruction improves SNR and sharpness — enabling better downstream detection without re-scanning.
Multi-Organ Segmentation
Automated segmentation of Brain, Lung, Liver, Spleen, Pancreas and more — as structured DICOM overlays, instantly.
Quantitative Measurements
Precision volumetric measurements for organs, Body Fat, and BMD — automated, reproducible, and reportable.
DICOM & PACS Native
Plug-and-play with any PACS, RIS, or scanner via native DICOM — zero proprietary connectors required.
From DICOM Ingestion to Structured AI Output
A seamless, automated pipeline — scan arrives, AI runs, results land in your PACS. No manual steps required.
Specialized Clinical Modules
Each module is independently deployable and pre-validated on multi-centre clinical datasets.
Neuro & Spine Module
Brain MRI · Spine MRI · Stroke pathway
Chest & Oncology Module
CT Chest · OncoSuite · Nodule AI
Body Composition Module
Aiken Adipo · Aiken BMD
Image Enhancement Module
CT · MR · GAN Reconstruction