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Prepare imaging systems
for what comes next.

Two focused consulting and implementation services for hospitals, imaging networks, and technology teams preparing for post-quantum security and clinical AI.

Focused engagements

Strategy that reaches production.

We work across clinical workflow, DICOM interoperability, infrastructure, security, and AI. Each engagement begins with the environment you already operate and ends with an architecture, implementation, and operational plan your team can carry forward.

01 POST-QUANTUM SECURITY

Quantum Readiness for Your PACS

Protect long-lived imaging data without replacing systems that already work.

Medical images and reports remain sensitive for decades. We assess how DICOM traffic moves between modalities, viewers, PACS, VNA, cloud services, and remote sites, then design a practical migration path toward post-quantum protection.

The engagement is designed around interoperability. Existing PACS and viewers continue to use standard DICOM while the security layer is introduced at the appropriate network boundaries.

Readiness assessmentInventory DICOM routes, VPN and TLS dependencies, trust boundaries, retention horizons, and high-risk inter-site connections.
Target architectureDefine a crypto-agile, NIST-aligned design and a staged roadmap from current protection to post-quantum readiness.
Pilot implementationImplement a protected DICOM path for one priority workflow or site without changing the DICOM protocol.
Validation and handoverVerify interoperability, failure behavior, monitoring, and operational ownership before wider rollout.
AssessDesignImplementValidate
Plan a quantum-readiness engagement
02 CLINICAL AI INFRASTRUCTURE

AI-Ready Imaging Infrastructure

Put AI inside the imaging workflow—not beside it.

We assess your PACS, RIS, viewer, reporting, and data environment to identify where AI can safely participate in the clinical loop. The goal is not an isolated model demonstration; it is a governed workflow that authorized users can operate, review, and trust.

We design for institutional control, with local or on-premise inference, clear human approval points, protected patient information, and integration through established DICOM and healthcare interfaces.

Data and workflow readinessMap studies, reports, DICOM objects, metadata quality, interfaces, and the clinical decisions the AI workflow must support.
AI-in-the-loop designDefine triage, natural-language search, similar-case retrieval, report assistance, and human review boundaries.
Platform implementationIntegrate local model serving, RAG, approved tools, viewers, PACS, and RIS without exporting PHI to an external AI service.
Governance and pilotEstablish authorized access, auditability, evaluation measures, escalation rules, and a controlled production pilot.
DiscoverIntegrateGovernOperate
Discuss an AI-readiness project
Start with one priority

One DICOM route. One AI workflow.
A practical first implementation.

We can begin with a bounded assessment and pilot, then expand only after the architecture and operating model have been proven.

Talk to our team