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Why Evorad

Streamline hospital workflows with a cloud-native, AI-powered platform that unifies imaging and accelerates care.

1+

Healthcare Facilities

0k+

Healthcare professionals

The Healthcare Imaging Crisis

Radiologist shortages & burnout

Demand outpaces supply; after-hours fatigue increases error risk.

Infrastructure gaps

Aging hardware and delayed communication.

Regulatory & quality hurdles

Teleradiology adds compliance and licensing complexity.

Fragmented data

Multiple systems, delayed collaboration and diagnosis.

Economic pressure

Rising costs and declining reimbursements squeeze margins.

Implementation & Support

0+

Healthcare facilities

0st

Nationwide imaging repository

0%

PACS uptime

Azure

Cloud with safe backup

What Makes Evorad Different

Deploy anywhere, and scale everywhere

A proven vesatile platform, trusted by diagnostic centers, large hospitals and government projects.

Accelerate diagnosis flow

An intuitive interface, powered by a suite of AI tools, for faster diagnosis.

Future proof your workflow

A cloud-native, vendor-neutral architecture integrating seamlessly with existing systems and modalities.

Our Mission

To build a world where every patient receives timely and accurate care by equipping radiologists with the tools they need to work faster, smarter and with confidence.

Why evorad
Demand is rising

Values & Cultural Pillars

Radiologist empowerment

AI triage, smart worklists, zero-footprint tools.

Flexible deployment

Cloud, hybrid, on-prem with edge nodes.

Human-centered innovation

UX that reduces clicks, speeds handoffs.

Open ecosystem

APIs, co-marketing, partner enablement.

Operational excellence

99.9% uptime, 24/7 support.

Built for Reality

Deployment & Licensing

Deployment

Cloud-native, hybrid, or on-prem with edge nodes; regional data residency options; resilient failover and caching.

Security

End-to-end encryption, SSO/MFA, role-based access, full auditability.

Licensing

SaaS, annual, perpetual + modular add-ons

All-in-one imaging. Minimal complexity.