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LoadingWe build secure AI infrastructure and AI systems for healthcare and governed organizations, on-premise, in-cloud, and hybrid. Behind that work sits deep cloud, DevOps, and reliability engineering, so what we ship holds up under audit and keeps working as your use of AI grows.
From the infrastructure and cloud underneath your models to the reliability engineering and agents running your operations, we build AI that is secure first and useful in production.
Secure AI systems built for production, on-premise, in-cloud, or hybrid. Inference platforms, RAG, and the infrastructure that runs them safely.
Put agents to work inside your business. We design, deploy, and govern agentic workflows that move real operations forward.
AI voice for the enterprise VoIP platforms you already run, including Asterisk, FreeSWITCH, Kamailio, and others. Call deflection, order taking, reservations, and PCI- and ACH-compliant payments, from low to high volume.
Architecture and operations across Azure, AWS, Google Cloud, DigitalOcean, and Vultr, built for resilience, cost, and scale. DevOps and site reliability engineering keep it stable as you grow.
AI RMF-aligned risk management with custom frameworks and controls built around how your organization actually uses AI.
Network architecture, firewalls, server administration, virtualization, and backup. We are the engineering depth behind IT teams and managed service providers, with 24/7 support for infrastructure that stays up.
Healthcare and governed organizations carry rules that consumer AI never had to answer to. We design AI systems and the infrastructure beneath them to meet those rules from day one, whether the model runs in your own racks, in your cloud, or across both. Data stays where policy says it should, access is provable, and nothing about the build assumes you can cut a corner later.
Risk and governance follow the NIST AI Risk Management Framework, but we do not hand you a generic checklist. Every organization uses AI differently, so we build the risk framework and controls around how your teams actually work. We meet companies wherever they are, already running AI in production, partway through adoption, or just deciding where to begin.
We deploy AI where your data and policy require it, with the same security posture across every surface.
Risk practices mapped to the NIST AI Risk Management Framework, ready for the questions an auditor will ask.
Controls built around how your teams use AI, not a template borrowed from someone else's stack.
Frameworks that keep up as your models, vendors, and workflows change, instead of breaking the moment they do.


Secure AI for healthcare and governed entities, mapped to the standards your auditors already know.
We architect and operate across Azure, AWS, Google Cloud, DigitalOcean, and Vultr, and we build the on-premise and hybrid infrastructure that AI workloads actually need. The result is a foundation tuned for resilience, cost, and the demands models put on it.





RecognizedWe put AI agents on the VoIP platforms you already run, including Asterisk, FreeSWITCH, Kamailio, and more, so calls get answered, routed, and resolved. We build voice that handles real volume, from a small front desk to an enterprise call center.
WHY NETEX
Tell us where you are with your tech stack and what you are looking for to move into the future with minimal risk and exposure.
We are a Dallas/Fort Worth area engineering firm with years of work alongside development teams and SaaS providers. You get engineers who ship and a firm that stays accountable for the engineering behind our practices.