Web apps
Next.jsReactDashboardsPortals
Enterprise AIproduct engineering
CodeDTX is an enterprise AI product engineering company. We build and modernize web, mobile, and backend systems with governed AI capability built into real production workflows — with evals, guardrails, observability, and human approval where consequential actions need control.
Platforms we ship
New builds. Existing systems. AI capability inside the product.
Backend systems
Node.jsAPIsDatabasesAuth
Mobile apps
Native AndroidNative iOSKMPFlutterReact Native
Production AI
MCPRAGEvalsObservability
What we build
End-to-end product engineering, with AI where the workflow needs it.
Next.js / React
Web application development
Next.js and React portals, dashboards, SaaS products, internal tools, and customer-facing workflows.
Read moreNode.js / APIsBackend engineering
Node.js services, APIs, databases, authentication, workflow engines, integrations, and observability.
Read moreAndroid / iOSMobile application development
Native Android, native iOS, KMP, Flutter, and React Native applications connected to production backends.
Read moreHow CodeDTX is different
We treat AI as product infrastructure, not a feature badge.
Buyers still need applications, backends, mobile clients, integrations, support paths, and release discipline. AI only becomes valuable when it is engineered into those systems with clear boundaries.
Workflow-first
AI capability is scoped against a real product or operations workflow, not a model demo.
System-aware
The work includes interfaces, data, permissions, backend contracts, and release paths.
Governed by design
Consequential actions route through human approval, risk tiers, and audit records.
Built to operate
Evals, tracing, cost, latency, fallbacks, and support paths are part of the build.
Governed delivery
Agents propose. Humans decide. Systems execute.
That is the control pattern behind the AI work: proposals carry evidence, decisions are recorded, and execution happens through a separate layer with an audit trail.
- +00:00ProposeAI drafts a change with evidence attached
- +04:10ReviewA human sees context, risk, and expected effect
- +05:25DecideApproval or rejection is recorded with a reason
- +05:27ExecuteA separate system performs approved work
- +05:28AuditActor, artifact, cost, and outcome are retained
Start with the system
Building new software, modernizing old software, or adding AI to production?
Tell us what exists, what needs to change, and where AI should improve the workflow. We will respond from an engineering seat.