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OS Node · Distributed On-Premises Infrastructure

Connect surgical data without rebuilding your storage stack.

Index and govern surgical video directly on existing hospital NAS, PACS archives, workstations, and departmental servers. Original video remains protected inside your physical firewall.

Enterprise Surgical AI Infrastructure

Request a Hospital Pilot

Interactive Technical Preview

Protocol Simulation & Capability Overview

On-Premises Data Boundary

How OS Node Keeps Video at its Source

Zero Cloud Video Upload
INSIDE HOSPITAL FIREWALL

Your Hospital Storage

NAS · PACS · Workstations · Towers

Original Video Never Moves

High-resolution recordings, patient records, and local file paths remain on your existing storage drives.

LOCAL DAEMON

OS Node

Software running on your server

Extracts Metadata Only

Indexes procedure type, duration, optics vendor, and local rights. Assigns a pseudonymous OS Video ID.

OPERATIVE SIGNAL

Discovery & Validation

Governed Network Coordination

Zero-Knowledge Feasibility

Evaluates cohort availability in the aggregate. No external party can browse or access your files without approval.

No Manual Video Uploads

Connect folders once. OS Node keeps catalog records synchronized automatically.

Keep Existing Storage

Works seamlessly with your current NAS, PACS, local drives, and endoscopy recording towers.

Institutional Sovereignty

Your hospital decides who may query, analyze, or validate models against your data.

Workflow Lifecycle

A governed path from clinical intent to verified results.

Every collaboration follows structured, deterministic governance stages to protect institutional sovereignty while delivering representative multicentre validation.

  1. 01

    1. Deploy on existing infrastructure

    Install OS Node as a lightweight daemon on virtual machines or servers adjacent to your departmental NAS, PACS, or video recording systems.

  2. 02

    2. Index locally without uploading

    Extract procedure metadata, duration, frame rates, and camera vendors. Assign opaque OS Video IDs and generate local preview proxies without moving full recordings.

  3. 03

    3. Configure institutional rights

    Designate permitted-use policies: retain for internal quality review, authorize for retrospective academic studies, or permit multicentre validation matching.

  4. 04

    4. Synchronize with control plane

    Publish minimal cryptographically signed metadata manifests to the OS Control Plane to enable zero-knowledge feasibility discovery.

  5. 05

    5. Authorize peer access on demand

    When an external project is approved, establish point-to-point encrypted streams or local validation tasks strictly within permitted boundaries.

Platform Capabilities

Engineered for clinical rigor and multi-site scale.

Designed from first principles to solve the fragmentation, interoperability, and governance barriers of surgical AI.

Lightweight software daemon compatible with Linux, Windows Server, and macOS systems.

Automatic file discovery, metadata extraction, and local thumbnail/proxy generation.

Pseudonymous OS Video ID assignment preserving complete patient de-identification.

Outbound-only mutual TLS communication with zero inbound firewall port requirements.

Configurable permitted-use policies for department-level storage governance.

Real-time node telemetry: storage capacity, index health, and connection status.

Cryptographic trust and data boundaries.

Data privacy and minimization are enforced at the architectural level. Original surgical recordings never leave your physical perimeter without explicit authorization.

View Security Architecture

Zero automatic upload of raw surgical video to external cloud providers.

Outbound mutual TLS architecture prevents unauthorized inbound intranet probing.

Local storage paths, internal IP addresses, and patient identifiers remain on-premise.

Cryptographic device credentials bound to specific authorized hardware instances.

Get Started

Request a Hospital Pilot

Connect with our team to initiate a hospital deployment, request targeted cohort feasibility, or configure a multicentre validation protocol.