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Operative Signal
Workspace

OS Exchange · Surgical Data Network

Find the surgical data your project actually needs.

Define the procedure, sites, modalities, outcomes, and intended use. Operative Signal identifies potential matches across participating institutions and moves the request into a governed collaboration workflow.

Enterprise Surgical AI Infrastructure

Request Data

Interactive Technical Preview

Protocol Simulation & Capability Overview

Interactive Cohort Request Simulator

Surgical Data Request Builder

Interactive Feasibility Simulator
Select Procedure Scenario:
Request SpecificationRobotic Radical Prostatectomy
Target Case Count:500 cases
Minimum Multicentre Sites:≥4 institutions
Required Modalities:
Endoscopic Video Surgical Kinematics Pathology Reports 90-Day Outcomes
Camera Vendor Inclusions:
Intuitive da Vinci XiKarl Storz 3D
Intended Purpose:Multicentre External Validation
Aggregate Feasibility MatchFEASIBLE
Potential Matches640 cases
Site Readiness4 nodes ready
Identified Data Gaps

90-day urinary continence available on 82% of cohort

Governance Pre-Clearance

Pre-cleared DUA Matrix across 4 Academic Nodes

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. Define Request Parameters

    Specify target procedure, required case counts, optics hardware (Storz, Olympus, Stryker, da Vinci), anatomical variations, existing reference labels, and clinical outcomes.

  2. 02

    2. Match across institutions

    The platform evaluates feasibility across active hospital nodes without exposing patient identifiers or moving original raw recordings.

  3. 03

    3. Keep disclosure controlled

    Potential sites review the incoming proposal under aggregate parameters. Institution identity and case catalogs remain protected until mutual agreement.

  4. 04

    4. Move into a governed project

    Approved collaborations graduate into dedicated Project Spaces with standardized data use agreements (DUAs), IRB tracking, and audit logging.

  5. 05

    5. Access on institutional terms

    Execute validation on-premises, access controlled project workspaces, or perform federated evaluation according to site-approved policy.

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.

Multi-parameter cohort matching across surgical procedures, modalities, and clinical outcomes.

Deterministic feasibility queries evaluated against institutional on-premises metadata.

Zero-knowledge aggregate discovery preserving patient and institutional privacy.

Direct linkage to collaborative Project Spaces and standardized Data Use Agreements (DUAs).

Comprehensive multi-vendor optics support across Karl Storz, Olympus, Stryker, and Intuitive da Vinci.

Structured cohort discovery with existing labels and clinical outcome verification pathways.

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

Patient identifiers and raw medical recordings never enter the public search plane.

Fine-grained role-based access control and project-specific cryptographic tokens.

Institutional data holdings remain aggregate until site authorization is executed.

Every query, match, and approval is immutably logged for institutional compliance.

Get Started

Request Data

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