Explainable radiology AI for underserved settings
We are building chest X-ray intelligence for Africa and India — regions with high disease burden and limited access to specialist radiology.
AI that augments, never replaces
AccuVis is designed to supplement radiologists and clinicians in resource-constrained settings — providing pre-read assistance, risk scoring, and visual evidence that accelerates diagnosis without hiding the reasoning behind each finding.
Our platform detects lung cancer signals, tuberculosis, pneumonia, and cardiovascular risk from standard chest radiographs — the most widely available imaging modality in low- and middle-income countries.
Built for Africa & India
Africa and India carry a significant share of the global burden of TB, pneumonia, and lung cancer, while radiologist availability remains limited in many districts. AccuVis is designed with that context in mind.
AccuVis is architected for the realities of these markets: portable X-rays, DICOM and non-DICOM workflows, and on-premises deployment where data sovereignty requires it.
The AccuVis platform
Detection engine
Four clinical pathways from a single chest radiograph with sub-second analysis.
Risk fusion
Imaging findings combined with clinical factors into an auditable 0–100 lung risk score.
Explainability layer
Visual attention maps behind every prediction — no black-box outputs.
Our team
Engineers and clinicians building explainable chest radiography tools for low-resource settings. More details coming soon.
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