Heavy Document Extraction
Local OCR & RAG pipeline built for 200–2,000 page medical assessment packets.
OCR · RAG
100% PHIPA & PIPEDA-compliant local AI automation. Process 2,000-page patient files and triage after-hours voicemails inside your clinic's own secure perimeter.
SOLUTIONS
Local OCR & RAG pipeline built for 200–2,000 page medical assessment packets.
OCR · RAG
Instant local Whisper transcription and Llama 3.1 intent classification.
WHISPER · LLAMA 3.1
Zero cloud API dependencies. Patient data never leaves the building.
AIR-GAPPED
ARCHITECTURE
A single self-contained stack that runs entirely within the clinic's secure perimeter, from intake to retrieval.
Deployed on hardware you own. No inbound or outbound cloud connections required for inference.
GPU-backed appliance running Whisper transcription and Llama 3.1 classification models.
OCR output and embeddings for 2,000-page packets indexed and retained inside the building.
Air-gapped by design. Patient health information never traverses a third-party API.
TEAM & GOVERNANCE
Founder & Principal Systems Architect
jobandeep.sethi@airgappedhealth.comOperations & Client Success Lead
marlo.forsyth@airgappedhealth.comTechnical Strategy & Academic Advisor
bhupinder.juneja@airgappedhealth.comRequest a 14-day proof of concept and see local document extraction and voicemail triage running on your own hardware.