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The Problem
Your Protocols Are in Folders. Your Staff Are Losing Hours Finding Them.
A nurse needs to verify a drug interaction protocol before a procedure. A clinical coordinator must locate the correct consent pathway from three years of archived PDFs. A department head needs to cross-reference patient pathway guidelines across multiple facilities. In each case the answer exists, buried in shared drives, email threads, or printed binders, and finding it costs precious clinical time that simply cannot be recovered.
The instinct to reach for a cloud AI tool, ChatGPT, Copilot, Google Gemini, is understandable. But for Italian healthcare organisations, it creates an immediate and serious compliance problem that no privacy policy can paper over.
GDPR Exposure
Uploading patient records or clinical documents to a US-hosted AI service creates direct GDPR exposure. The European Data Protection Board confirmed in 2025 that Large Language Model (LLM) outputs rarely qualify as anonymised data, meaning the original data transfer is a breach event, not the output.
L.132/2025 Compliance
Italy's national AI Law, Legge 132/2025, enacted October 2025 as the first such law in the EU, imposes strict data locality requirements on health data and mandates transparency in AI decision-making. The August 2026 compliance deadline for high-risk AI systems is already in scope for most clinical environments.
Operational Cost
Manual document search is not a neutral fallback. Every hour lost to protocol hunting is an hour not spent on patients. Multiplied across departments and teams, it is a measurable, recurring clinical and economic cost, one that compounds daily with no resolution in sight.
A Day Without Noot 8
A clinical coordinator at a 40-person specialist clinic needs to locate the sedation protocol for a paediatric procedure. The document exists, filed somewhere across three years of PDFs and two generations of shared folder structures. Forty minutes later, after messaging three colleagues and opening 15 documents, they find it. This scenario repeats dozens of times a day. Multiplied across departments, it adds up to hundreds of wasted clinical hours every month, and a standing temptation to use cloud AI that no one has authorised for patient data.
The Noot 8 Edge
Your Entire Clinical Knowledge Base. Searchable in Natural Language. In 30 Seconds.
Noot 8 is a plug-and-play edge AI appliance. Connect it to your clinic's local network. Within minutes, every member of staff, from any device on the LAN, has access to an AI agent that searches your entire document library in natural language and returns cited, page-level answers in under 30 seconds. No IT department required. No cloud account. No configuration.
Eye Cortex: Visual Intelligence Built for Clinical Documents
Clinical documents are rarely clean text. Protocols include dosage tables. Patient pathways use decision flowcharts. Consent forms carry annotated sections and scanned signatures. Supplier agreements have nested schedules. Standard AI tools that only process text miss every one of these elements.
Noot 8's Eye Cortex engine, powered by a 4-billion-parameter computer vision model (ColPali), reads every page as an image. It understands charts, tables, scanned PDFs, and complex visual layouts. It finds the answer in the dosage column on page 7 of a printed protocol, not just the document title. No other plug-and-play AI appliance for Italian healthcare does this.
From Unbox to First Answer in Under 5 Minutes
Plug In
Connect Noot 8 to your clinic's Ethernet. It self-configures. No IT, no drivers, no setup.
Upload Your Documents
Drag and drop clinical protocols, patient pathways, research papers, supplier agreements, any format, any volume.
Ask. Get Cited Answers.
Every staff member on the LAN can ask questions in plain language and get answers with exact page references, in under 30 seconds.
Privacy Guarantee
Your Patient Data Never Leaves Your Building. This Is Not a Policy. It Is a Physical Guarantee.
All document processing, embedding, indexing, storage, and retrieval, happens entirely on the Noot 8 device, inside your LAN. Clinical protocols, patient records, research papers, supplier agreements: they never move off your premises.
For complex multi-step queries, only the minimal retrieved excerpts, never the source documents, are processed by Google Gemini via Vertex AI, exclusively within the EU, under a strict enterprise Data Processing Agreement. No data is stored. No data is used for model training. Processing is EU-only, and it ends the moment your answer is returned.
| Compliance Requirement | Cloud AI Tools | Noot 8 |
|---|---|---|
| GDPR, documents stay in EU | ✗ US servers, uncertain transfer basis | ✓ 100% on-premise + EU-only DPA |
| L.132/2025, data locality for health data | ✗ Structural non-compliance | ✓ Local-first by design |
| No model training on patient data | ✗ Terms vary widely by provider | ✓ Enterprise DPA, no storage, no training |
| Cited answers with source references | ✗ Hallucinations, no page citations | ✓ Page-level citations on every answer |
| Visual documents, tables, flowcharts, scanned PDFs | ✗ Text extraction only | ✓ Eye Cortex reads every page as an image |
| Zero IT setup required | ✗ Admin accounts, API keys, configuration | ✓ Plug in and start chatting |
From question to cited answer
Document pages per unit
Patient files leaving your LAN
All-inclusive per month