The private infrastructure platform for AI-built applications

Ask an AI coding agent to build you a full-stack app today and it will do it in an afternoon. Claude, Cursor, and Codex have all solved "write the code." None of them can answer the question that comes right after: where does this app actually run.
For most teams the answer defaults to whatever the deploy tool ships with, a shared, multi-tenant cloud account owned by a vendor. That's fine for a prototype. It stops being fine the moment legal, security, or compliance asks who controls the infrastructure the app now depends on.
What "private AI infrastructure" actually means
Private AI infrastructure is infrastructure for running AI-generated applications that stays inside a boundary you control. Your own data center. Your own AWS, Google Cloud, or Azure account. Or a hybrid mix of both. Nothing about the application, its database, or its traffic passes through infrastructure a third-party vendor operates and multiple customers share.
That's a different claim than "enterprise-grade security." Security describes how a vendor protects data inside their own shared systems. Private infrastructure describes where those systems physically or contractually live in the first place. Most AI deployment tools only address the first one.
Why this gap exists
AI code generation optimized for one buyer: a developer or small team shipping fast to a shared cloud. That buyer doesn't care where the infrastructure sits. An enterprise buyer does. Regulated industries need to name the region or data center before customer data touches the app. Multi-cloud mandates require portability across AWS, Google Cloud, and Azure without three separate pipelines. Security teams need an audit trail on infrastructure they can actually inspect.
No AI deployment tool addressed that buyer directly, so enterprises evaluating AI-built apps either built infrastructure by hand (weeks of Terraform and IAM policy work) or shelved the project entirely.
What we shipped
NEXUS AI Enterprise is a private infrastructure platform for AI-built applications. Same AI Builder, same CLI, same MCP tools your agent already uses, pointed at infrastructure you own instead of a shared cloud:
Deployment: container-based builds, automated from a prompt or a repository, with zero-downtime rollouts and versioned rollback
Databases: managed PostgreSQL, MySQL, MongoDB, and Redis running on infrastructure you control, with automated backups and point-in-time restore
Networking: custom domains, private service-to-service networking, and configurable ingress and firewall rules
Security: role-based access control, tenant-level isolation, an AES-256-GCM secrets vault, and a full audit trail on every action
Standard containers. Standard database dumps. No proprietary format to migrate off of later.
Vibe coding closed the "write the code" gap. It never closed the "who controls the infrastructure" gap. That's the one enterprise buyers actually stall on, and it's the one we built NEXUS AI Enterprise to close.
Full breakdown: nexusai.run/enterprise
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