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Meet the customer
RapidAI is a leader and innovator in advanced imaging and workflow software. The company delivers deep clinical AI solutions on its Rapid Enterprise™ Platform, helping healthcare providers make fast and accurate diagnostic, treatment, and transfer decisions across highly distributed hospital environments.
Learn more at rapidai.com
At a glance
- Industry: Healthcare
- Footprint: Global deployments supporting thousands of hospitals across 100+ countries
- Objective: Deliver continuous availability and scalable lifecycle management for clinical AI workloads across a hybrid edge-to-cloud architecture
- Key use cases: Kubernetes management for distributed edge devices and cloud clusters, zero-downtime upgrades for clinical AI software
- Solution: Spectro Cloud Palette, Dedicated SaaS
- Outcome: Centralized management of more than 600 edge clusters and 25 Amazon EKS clusters, enabling near zero-downtime upgrades, reduced reliance on hospital IT teams, and consistent delivery of AI-driven clinical insights at scale
From deploying software to operating at scale
After more than a decade of building and deploying life-critical clinical AI software, RapidAI reached an inflection point around 2022. What began as delivering individual applications into hospital environments was evolving into operating a growing, modular platform serving thousands of hospitals worldwide.
From the start, RapidAI’s solutions were designed for hybrid and edge-to-cloud operating models. Hospital requirements vary widely, from air-gapped or strictly on-premises environments to setups that rely on cloud access to extend reach beyond the hospital network. AWS provides the cloud backbone for this approach, enabling deployments in more than 100 countries while meeting regional security and compliance requirements.
Within this model, edge and cloud often serve complementary roles. Primary AI processing runs at the edge, close to imaging devices inside hospitals, where low latency is critical for time-sensitive clinical decisions. Amazon Elastic Kubernetes Service (EKS) extends those capabilities into the cloud, processing imaging workloads when needed and delivering results to clinicians wherever they are.
As the organization’s growth accelerated, supporting more than 14,000 daily scans across a distributed mix of edge and cloud-based Kubernetes clusters pushed the platform team beyond what manual processes could sustain.
At that point, RapidAI needed a more consistent and reliable way to operate its platform — one that could maintain continuous availability during upgrades, reduce reliance on local hospital IT teams, and deliver new capabilities without disrupting clinical workflows.
A solution fit for edge-to-cloud operations
In 2022, RapidAI was not only scaling deployments but also expanding its clinical AI offerings beyond stroke care into a broader set of time-critical imaging and workflow applications. With Kubernetes already central to its edge-to-cloud design, the challenge was putting a consistent operating approach in place as the portfolio expanded.
The organization’s leadership was already familiar with Spectro Cloud Palette and its ability to support large-scale healthcare deployments, including work done at GE HealthCare. Rather than running a broad vendor bake-off, RapidAI decided to move forward with a solution that was already known to align with its architectural direction and operational expectations.
Using Palette, the platform team has a single pane of glass for Kubernetes lifecycle operations across both edge and AWS environments. From that centralized view, the team can monitor, upgrade, and manage its distributed clusters consistently, adapting to the specific requirements of each hospital without introducing operational silos.
Palette’s support for near zero-downtime rolling upgrades allows RapidAI to update operating systems, Kubernetes versions, and AI algorithms without interrupting mission-critical diagnostic workflows.
Together, these capabilities made it possible for RapidAI to embed a consistent operating model into its platform as it scaled, without compromising availability, reliability, or clinical workflows.
Reliable operations across thousands of hospitals
With Spectro Cloud Palette in place, RapidAI now operates its edge-to-cloud platform through a single management plane, with shared visibility and control across more than 600 edge devices and cloud-based clusters supporting thousands of hospitals worldwide.
The platform team ensures zero-downtime upgrades by applying updates gradually, one part at a time, while the rest of the system keeps running. If anything goes wrong, Palette automatically reverts to the last stable version, so clinicians never experience an interruption.
Supporting each hospital environment used to require manual, site-by-site work, with upgrades and maintenance often depending on local IT teams or field engineering visits. Today, the platform team manages lifecycle operations centrally, reducing the effort required to support thousands of hospital environments.
Bringing AI-driven care to more patients
Building on a strong foundation, RapidAI is extending its clinical AI platform into additional areas such as orthopedics, cardiovascular, and oncology. As new modules are introduced, the organization expects imaging volume to increase significantly, with the long-term goal of processing a much larger share of hospital scans globally.
With Palette, the platform team can support that growth without adding operational risk or complexity, so RapidAI can stay focused on what matters most — helping clinicians make faster, more confident decisions and improving care for patients when every minute counts.
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