Raleigh, 27609, NC,
United States
Wake Radiology Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Wake Radiology and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 150 Wake Radiology employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Wake Radiology has purchased the following applications: EnvoyAI Platform for Computer Vision in 2017, Cisco Webex Meetings for Audio Video and Web Conferencing in 2017, Automattic Jetpack CRM for CRM in 2014 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Wake Radiology is running and its propensity to invest more and deepen its relationship with EnvoyAI , Cisco Systems , Automattic or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Wake Radiology revenues, which have grown to $10.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Wake Radiology intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| EnvoyAI | Legacy | EnvoyAI Platform | Computer Vision | AI-Powered Application | n/a | 2017 | 2018 |
In 2017, Wake Radiology implemented the EnvoyAI Platform, deploying a Computer Vision application to extend physician access to algorithmic image analysis. The deployment was completed at Wake Radiology in Raleigh, North Carolina, and was positioned to provide clinicians and referring physicians with on-demand access to a marketplace of over 53 Artificial Intelligence engines that can be applied to medical imaging studies.
The EnvoyAI Platform implementation centered on marketplace and orchestration capabilities, enabling discovery, queuing, and execution of multiple AI engines against imaging studies. Configuration work prioritized engine provisioning, image preprocessing and routing logic, and delivery of algorithm outputs into clinical review flows, consistent with Computer Vision platform capabilities.
Operational coverage focused on radiology clinical services across the practice, delivering AI outputs directly into physician workflows for interpretation and referral communication. The installation emphasized integration into medical imaging study workflows and physician access points, supporting the diverse breadth of clinical services Wake Radiology provides to patients and referring physicians.
Wake Radiology selected the EnvoyAI Platform as the fastest and most comprehensive means to achieve a cohesive AI strategy across its service lines, and the project was described as EnvoyAI’s first successful customer installation. The implementation established a centralized marketplace and orchestration layer for future engine additions and clinical evaluation, reinforcing governance around engine selection and clinical workflow adoption.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Cisco Systems | Legacy | Cisco Webex Meetings | Audio Video and Web Conferencing | Collaboration | n/a | 2017 | 2017 |
In 2017, Wake Radiology implemented Cisco Webex Meetings. The Cisco Webex Meetings deployment supports Audio Video and Web Conferencing and is embedded on their website to provide a web-accessible entry point for scheduled sessions and ad hoc virtual consultations.
The deployment follows a cloud-hosted SaaS architecture with centralized tenant administration, meeting scheduling, screen sharing, recording, and participant management configured for healthcare workflows. Functional capabilities implemented via the Cisco Webex Meetings application include session orchestration, host controls, multi-party video, meeting recording retention settings, and participant moderation features tailored to clinical coordination.
Operational coverage includes radiologists, technologists, and administrative staff for internal collaboration and patient-facing virtual sessions. Governance has been oriented around centralized user provisioning, role-based access controls, enforced meeting security settings, and configuration of recording and retention policies to align with clinical privacy requirements.
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Automattic | Legacy | Automattic Jetpack CRM | CRM | CRM | n/a | 2014 | 2014 |
In 2014, Wake Radiology implemented Automattic Jetpack CRM on its public website. The deployment uses Automattic Jetpack CRM as a CRM to centralize patient contact records and capture inbound web leads and referral inquiries submitted through website forms.
Configuration focuses on contact management, lead capture, and email communication workflows, aligning CRM capabilities with front office patient intake and referral management functions. The architecture is web hosted within the Wake Radiology site, with Automattic Jetpack CRM persisting contact and campaign data in the site database and governance enforced through site administration user roles to control access and workflow routing.
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2020 | 2020 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Content Delivery Network | IaaS |
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2013 | 2013 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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