Problem Statement

Critical System Fragmentation

01.

Operational Friction

Manual data export workflows and incompatible PACS components compromise data integrity and clinical throughput.

02.

Hardware Variance

Heterogeneous hardwares (Siemens vs. Philips vs. GE) impede reproducible model deployment and analysis.

Data Dilemma

Diversity vs Privacy Tradeoff

03.

Data Homogeneity

Siloed data lack geographic and demographic diversity, introducing algorithmic biases and reducing global accuracy.

04.

Centralized Vulnerability

Amassing consented data from diverse medical institutions creates high-risk targets for security vulnerabilities.

Next-gen Solution

Application

Managed Edge Service

⚡

Zero-Touch Ingest

Automated DICOM routing for background processing.

🌐

Cross-Platform

No vendor or operating system locked-in.

📈

Elastic Scaling

Cloud resources scale dynamically to meet clinical demands.

Governance

Privacy Logic & Sovereignty

Federated Learning

Training models on local silos without centralizing sensitive patient data across jurisdictions.

GDPR Compliance

Ensuring patient data remains strictly within local clinical firewalls to meet EU Data Sovereignty standards.

Market Impact

Trust & Clinical Value

Reliability

Data-efficient models resilient to distribution shifts between different medical centers.

Interpretability

Transparent AI outputs designed for clinical trust and peer-reviewed validation.

Cost-Effectiveness

Enabling smaller clinics to leverage high-performance infra usually reserved for tier-one institutions.

Full Competitive Landscape

Feature	Our Solution	Siemens teamplay	Philips AVW	Icometrix (GE)	NeuroQuant	QyNapse
Proprietary	Open-source	Proprietary	Proprietary	Proprietary	Proprietary	Proprietary
Integration	Containerized PACS/DICOM; Portal	API-first; HL7; EMR	Deep Hospital LAN/PACS	icobridge on-site soft	Seamless PACS/DICOM	Integrated 3D / DICOM
Hosting	Cloud or On-prem	Cloud (Azure) or Hybrid	On-prem or Public Cloud	Hybrid (Local + Cloud)	Cloud or Local	Cloud-based
Tenancy Model	Single-tenant / Managed	Multi-tenant PaaS	Single-tenant (On-prem)	Multi-tenant SaaS	Multi-tenant Isolated	Multi-tenant SaaS
Data Residency	Local or Regional Cloud	Regional (Azure)	Local or Regional	Regional (US/EU)	US-based cloud	Global cloud
Training Data	Federated	Centralized	Centralized	Centralized	Centralized	Centralized
Inference	Autonomous or Federated	Autonomous/Centralized	Autonomous	Autonomous/Centralized	Autonomous/Centralized	Autonomous/Centralized
Pricing	Per-scan (Redemption)	Scan-based + Licence	Scan-based + Licence	Scan-based + Licence	Scan-based + Licence	Scan-based + Licence

Certification Roadmap

Year 1: Foundation

Predictive model development, initial DICOM integration, and performance/security testing.

Year 2: Compliance & Pilot

ISO 13485 QMS implementation and prospective trials at 3-5 pilot university hospitals.

Year 3: Launch

MDR Annex IX assessment (Class IIa), CE Mark approval, and commercial scaling.