An enterprise AI engineering company
We are building CodeDTX into the specialist enterprise engineering company organizations think of when they need to make existing software and business operations AI-enabled.
Agents propose. Humans decide. Systems execute.
CodeDTX builds agentic systems on the Propose–Decide–Execute pattern: agents may only write proposals with evidence attached, a named human records an approval or rejection with a reason, and a separate execution layer carries out approved work and logs the artifact. No agent holds a write tool to the outside world.
Human-in-the-loop governance, eval gates, and audit trails are the product, not an afterthought, and we run our own operations on the same pattern we ship.
Read the long versionBuilt for teams with real systems in production
Who we build for
CTOs, VPs of Engineering, and heads of platform at enterprises with existing software estates. We address the situation rather than the job title: systems already in production, already load-bearing, already relied on.
The established practice behind it
CodeDTX also delivers mobile, OTT, and rapid application development. That is the engineering practice the agentic work stands on - it is not the front door.
We do not publish claims without evidence
We hold ourselves to one rule that shapes this whole site: a claim must be supported by evidence. So you will not find customer logos, delivery metrics, or outcome percentages here yet. When we publish a number or name a client, an artifact will sit behind it. Until then we would rather describe how we engineer than assert how well.
Have a system that should become AI-enabled?
Tell us about the existing software or business operation and the workflow you have in mind.