Built from peer-reviewed research
AI Medical Imaging Clinicians Can Trust
Privacy-preserving, explainable AI for medical imaging. Visualize scans, run AI models and see how the models decide. All on your own infrastructure.
Privacy-preserving, explainable AI for medical imaging. Visualize scans, run AI models and see how the models decide. All on your own infrastructure.
3D visualization, explainable attention maps, and full transparency into every AI prediction.
Render brain meshes from raw MRI data. Rotate, zoom, and inspect from any angle.
See exactly which brain regions the model focused on with interactive 3D attention overlays.
All inference runs locally. Patient data never leaves your machine. HIPAA-ready.
Generate PDF reports with classification results, confidence scores, and AI-written summaries.
Maximum speed inference on your existing hardware.
Bring your own models or use ours. Multiple architectures, one standardized pipeline.
Three simple steps. No cloud. No complexity. Just answers.
Drag and drop a raw data file (e.g., NIfTI or DICOM), or select from sample scans.
View the scan as a 3D brain mesh and run AI inference — all locally.
Inspect attention regions, review confidence scores, and download a PDF report.
No browser tabs, no account creation, no learning curve.
Runs on Windows, macOS and Ubuntu. Single-click install.
Clean light theme for clinical settings, dark theme for reading rooms.
Classification results, attention maps, and AI summaries — exported as PDF.
Browse pre-trained models or train your own — no code required.
Earlia One started as a research paper on detecting Preclinical Alzheimer's Disease — the silent phase before symptoms appear.
Visualize, analyze, and train — all on your own infrastructure.