Scan-to-classified-folder
Scan a stack at the MFP, AI classifies each page (invoice, contract, ID, X-ray), routes to the right folder + tags it. No human triage of the queue.
ON-PRINTERThe full picture, not just the headline.
Bilingual OCR
OCR engine handles English and Spanish in the same document. Mixed-language scans (common in South Florida) come out searchable, both languages.
EN + ESForm-field extraction
Invoices, POs, intake forms — extract specific fields (vendor, amount, date) into structured data. Pushes to your accounting / EHR / CRM via webhook.
STRUCTURED OUTPUTCamera-side analytics
Plates, person counts, dwell time — all inferred on the camera's NPU. No video frames sent to cloud. No 'event fee' from your vendor.
CAMERA NPUPrivacy by architecture
Patient records, attorney work product, exec comp — none of it leaves the LAN. Air-gap deployments fully supported for the strictest workflows.
AIR-GAP CAPABLENo per-token bill, ever
Models run on local hardware (printer NPU, camera NPU, optional small server). Fixed monthly cost. No surprise OpenAI-style bills mid-month.
FIXED COSTSLAs, specs, and the boring fine print.
Devices with AI180+Active deployment
Pages OCR'd/day32,000+Across clients
OCR accuracy98.4%EN; 97.1% ES
Classification94%Document types correctly tagged
Cloud calls0Pure on-device
Latency<400 msPage to classification
What this looks like in production.
Legal · paralegal triage
Scanned-case-file auto-routed
Litigation file scanned at MFP → AI sorts pages: pleadings, exhibits, correspondence. Routes each set into the matter's folder structure automatically.
Clinic · intake forms
Bilingual form → EHR record
Patient fills paper intake (often in Spanish), scans it. AI extracts demographics + insurance, pushes to EHR. Front desk validates, not re-types.
AP team · invoice extraction
Vendor + amount into accounting
Stack of invoices scanned. Vendor, date, total, PO# extracted per invoice. Pushed to QuickBooks / NetSuite for review. AP team approves, doesn't enter.