Strengthen the core that carries everything.
OnX delivers the connectivity, compute, and hybrid flexibility your organization needs to thrive in an AI world.
Aging infrastructure slows you down and locks you out.
Legacy networks, end-of-life hardware, and siloed hybrid environments are a maintenance burden and a strategic liability. When your infrastructure can’t keep pace with business and AI demands, you may be unable to scale, unable to secure, and unable to support the AI and analytics workloads that shape your competitive advantage.
Modern infrastructure. Proven execution. One accountable partner.
Whether you’re modernizing legacy hardware, optimizing a hybrid cloud environment, or building the network foundation for AI workloads, we design and deliver solutions that are right-sized and scale flexibly for your business. When we serve as your long-term partner, you benefit from strategy, execution, and ongoing management from one accountable team.

Infrastructure solutions built around how you work
“A resilient IT infrastructure provides the foundation organizations need to operate efficiently, adapt quickly, and achieve their business objectives in an increasingly digital world.”

Sherif Mahmoud
Vice President, Advanced Infrastructure
Security-first, AI-powered networking
Network Infrastructure
Transform legacy networks with certified engineers and best-in-class partners like Cisco and HPE. We design and deliver custom solutions from core switching and edge routing to wireless and software-defined networking.
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Zero-trust Security Architecture
“Deny-first” access control with dynamic segmentation across WLAN, switching, and SD-WAN.
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AI-powered Operations (AIOps)
ML-driven automation, anomaly detection, and performance optimization
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Network as a Service (NaaS)
Flexible subscription/consumption model covering full lifecycle (hardware, software, licenses, management, and decommissioning).
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Security Service Edge (SSE)
SSE including ZTNA, Secure Web Gateway, CASB, and Digital Experience Monitoring.
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IoT Convergence
Support for IoT protocols natively within the network fabric.
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Our people
What makes the difference
National expertise with local accountability.
Industry knowledge that matters.
Partnership that goes the distance.
Frequently asked questions
Network infrastructure modernization is the process of replacing or upgrading outdated network hardware, software, and architectures — such as aging switches, routers, and manual configuration systems — with current, automated, and cloud-compatible solutions. Legacy networks are a growing liability. They create security vulnerabilities, limit bandwidth, and can’t support the real-time workloads, remote access demands, and AI applications modern businesses depend on. Modernizing your network improves reliability, reduces operational risk, enables better visibility and control, and lays the technical foundation for future innovation. Organizations that defer modernization often discover the cost — in downtime, breaches, and lost agility — far exceeds the cost of the upgrade itself.
AI workloads — including model training, inference, data pipelines, and real-time analytics — place dramatically higher demands on infrastructure than traditional transactional systems. They require significant compute power, high-throughput network connectivity, low-latency storage access, and robust data movement capabilities between on-premises environments and cloud platforms. Organizations that attempt to run AI initiatives on legacy infrastructure frequently encounter bandwidth bottlenecks, insufficient compute, and security gaps that stall proofs of concept before they can scale. Preparing for AI workloads typically requires a phased infrastructure assessment that identifies these gaps, followed by targeted modernization of network core, storage, and hybrid cloud connectivity. OnX's Forge AI framework is specifically designed to help organizations close the infrastructure gap before it becomes the reason AI stalls.
This is one of the most consequential decisions IT leaders make, and the right answer depends on several factors: the age and performance of current hardware, total cost of ownership (including maintenance, power, and staffing), workload characteristics, compliance requirements, and strategic direction. A hardware refresh may make sense when an organization has predictable, stable workloads, regulatory mandates requiring on-premises data residency, or significant remaining value in existing equipment. A shift to IaaS or a consumption-based model (such as HPE GreenLake) is often preferable when the organization wants to move IT spending from CapEx to OpEx, needs to scale rapidly, or wants to reduce the burden of hardware lifecycle management. Many enterprises land on a hybrid approach — refreshing core on-premises infrastructure while consuming cloud-based capacity for variable or growth workloads. OnX conducts thorough infrastructure assessments to help clients build a phased roadmap that maximizes ROI and aligns IT spending with strategic business objectives.