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LoadingWe build AI systems and the infrastructure beneath them for healthcare and governed organizations, where policy decides where data lives and access has to be provable. This page sets out how we secure engagements, govern AI risk against the NIST AI Risk Management Framework, run infrastructure you can rely on, and work with you from the first scoping conversation to a clean handoff.
When you bring us into your environment, we take on the access and data that come with it, and we treat that access as a responsibility. We scope it to what the engagement actually needs and nothing more, and we remove it once the work is done. We handle credentials and secrets as material that must never sit in plaintext or move across an insecure channel, so you always know what we can reach and why.
None of this depends on a client asking for it first. We hold the same security posture whether we deploy On-premise, In-cloud, or Hybrid, wherever your data and policy require it.
We grant only the access an engagement needs and remove it when the engagement ends.
We never store or share credentials in plaintext or over an insecure channel.
We handle your data under the discipline the engagement requires, and it stays where your policy places it.
We define an offboarding process so your systems and accounts come back to you cleanly when the work concludes.
Our risk and governance work follows the NIST AI Risk Management Framework (AI RMF), and we do not hand you a generic checklist. Every organization uses AI differently, so we build the risk framework and the controls around how your teams actually work. We meet you wherever you are, already running AI in production, partway through adoption, or still deciding where to begin.
We built our own web application to put this into practice. AI RMF Manager inventories your AI systems and scores their maturity across all 72 AI RMF Core subcategories, then ties each control to the evidence behind it. It keeps a generative AI risk register drawn from the NIST AI 600-1 profile, organized around the framework’s four functions, Govern, Map, Measure, and Manage. From there it produces an AI RMF Readiness Score and an assessor-ready, hash-stamped report you can share through a read-only auditor portal.
We build the risk framework and controls around how your teams actually use AI.
AI RMF Manager scores your AI systems across all 72 AI RMF Core subcategories.
Every control links to the evidence behind it, kept alongside a generative AI risk register drawn from the NIST AI 600-1 profile.
AI RMF Manager produces an AI RMF Readiness Score and a hash-stamped report you can share through a read-only auditor portal.
The AI RMF is a voluntary framework, and no certification exists against it. AI RMF Manager prepares you for audits and demonstrates your alignment rather than certifying compliance, and we describe it exactly that way.
Every AI platform and cloud environment sits on a network and a set of servers, and when that layer is weak the systems above it inherit the problem. We design cloud environments that stay up, scale on demand, and cost what you expect, and we define everything as code so your environment stays reproducible, reviewable, and recoverable.
Beneath those environments, we engineer high-availability networks and firewalls and run server platforms across Windows Server, Linux, and BSD, backed by disaster recovery and around-the-clock support. DevOps and site reliability engineering keep it stable as you grow.
We define your environment as code so it can be reproduced, reviewed, and recovered.
We operate across Azure, AWS, Google Cloud, DigitalOcean, and Vultr with DevOps and site reliability engineering that keeps environments stable as you grow.
We back the networks and servers we run with disaster recovery and around-the-clock support.
This site conforms to WCAG 2.2 at Level AA, gated on an automated axe-core scan every release and backed by manual keyboard and screen-reader review.
Read the full detail in our published accessibility statement.
An engagement starts with a scoping conversation about where your technology and AI stand today and where you want to take them. From there we work as an accountable engineering team with clear ownership of what we deliver. We stay in contact with you through the engagement rather than going quiet between milestones. When the work ends, we hand off a clean and documented environment, whether your own team takes it over or we keep working together.
We begin by understanding where your technology and AI stand today and where you want to take them.
We stay in contact through the engagement and keep you current on where the work stands.
We work as an accountable engineering team that owns what it delivers.
When the engagement ends, we hand off a clean and documented environment, whether your team takes over or we keep working together.
WHY NETEX
Tell us where your tech stack is today and where you want to take it. We will help you get there 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 work.