Introducing CapNexus…
Where the Strength of Three Industry Leaders Capstone, RPE, and Makira - Become One.
Not every workload belongs in the cloud. Some never will. The organizations we work with run production systems across datacenters, on-premises environments, and AWS. That’s not a problem to solve. It’s an architecture to get right.
We build smart-hybrid infrastructure where every workload runs in the right place for the right reasons: cost, latency, data residency, compliance, or capability. The goal isn’t to migrate everything to the cloud.The goal is a hybrid cloud architecture where everything works together regardless of where any individual system runs.

Relocate workloads to a stable, managed hosting environment. Get off aging hardware without disrupting operations.
Connect systems across environments. Data center to cloud analytics. Legacy applications to AI inference engines. On-premises databases to federated query layers. The mesh is the connective tissue that makes hybrid infrastructure intelligent.
Upgrade systems where they run. Containerize applications on self-hosted platforms. Adopt modern operational tooling and deployment models without changing where the workload lives. Modernization and migration are separate decisions.
We host and operate environments for organizations that depend on systems built over decades. AS400, IBM i, dedicated servers, and the operational support to keep these environments running securely and reliably.
Hosting with CapNexus is a managed environment with a path forward. We keep your systems running today while you decide what comes next on your terms and your timeline.
Assess your current hosting environment, dependencies, compliance requirements, and operational needs.
Provision the hosting environment, migrate workloads, establish connectivity, and validate operations.
We operate your hosted environment 24/7 and keep it optimized, secure, and performing.


For organizations running workloads across data center and cloud environments, we design the architecture that connects them. Colocation through our data center partnership, AWS Direct Connect for low-latency private connectivity, and a network architecture that lets workloads communicate across environments securely and reliably.
Hybrid is not a transitional state. For many organizations, it is the right long-term architecture. We design it to be stable, performant, and operationally sustainable.
Assess your infrastructure footprint and define the hybrid architecture. Determine what stays on-prem, what moves to hosted, and how everything connects.
Build the hybrid environment including colocation, Direct Connect, networking, security, and the integration layer between on-prem and cloud.
We manage the hybrid environment end to end. You get the reliability of enterprise operations without the complexity.
AI inference doesn’t always belong in the cloud. For workloads that require data residency, cost-predictable inference, low-latency processing, or connectivity to legacy systems that can’t move, we operate GPU-accelerated compute in our data centers.
This is where mesh matters most. We connect AI inference engines to the systems and data they need, wherever those systems run. Your models operate on dedicated hardware we maintain, connected to your cloud environment, your on-premises applications, or both.
Assess your AI workload requirements including latency, data residency, throughput, and cost model. Determine the right deployment surface.
Stand up the GPU compute environment, deploy the inference platform, and connect it to your data sources and applications across environments.
We operate the AI infrastructure 24/7 including hardware, platform, model deployment, and monitoring.


We don’t build infrastructure and walk away. Our managed services team operates data center, hybrid, and hosted environments around the clock. Monitoring, incident response, patching, optimization, and support.
Our operations team manages your environment with full context from the delivery engagement.
Assess your operational posture and define the managed services scope, SLAs, and escalation model.
Implement the operational foundation including monitoring, alerting, run books, compliance automation, and the handoff from the delivery team.
We operate your environment 24/7 with defined SLAs and proactive optimization.
Whether you need to host a legacy system, connect environments, modernize in place, or stand up GPU compute for AI, we start by understanding what you’re running and where it needs to stay.
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