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AI Scaler

Scale AI, Remove Bottlenecks

In today's imaging networks, scaling AI often means dealing with manual, study-by-study anonymisation and fragmented,
vendor-by-vendor integrations. AI Scaler solves this by combining BriX and PAIP into a single platform that removes the two barriers blocking AI scaling — preparing data in bulk and orchestrating any AI application into PACS through one vendor-neutral layer.

FAQs

What does AI Scaler do?
It combines BriX (bulk anonymisation) and PAIP (AI orchestration) into one platform —so you can scale your AI by removing the burden of data preparation and data anonymization, the two barriers blocking AI scaling
How fast is it in practice?
BriX anonymises 1,000 X-rays in around 40 minutes, and PAIP integrates any AI application into PACS in around 60 minutes.
Is AI Scaler compatible with our existing PACS?
Yes. PAIP is a vendor-neutral orchestration layer between PACS and AI vendors — no point-to-point integrations, with AI results delivered in your native reporting environment.
What results has it delivered in the NHS?
NHS Wales: 22,000+ studies (6M images) anonymised in year one, 567 working days returned and 450% ROI. EMRAD: 530K+ chest X-rays orchestrated, turnaround cut from 8 days to 4 hours.
Can it scale across a whole imaging network?
Yes. A single AI Scaler footprint serves all 7 NHS Wales Health Boards as shared infrastructure, and PAIP has processed 18M radiology orders across EMRAD's 7 PACS systems.