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Codamai
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For software companies & engineering teams

AI-Speed.
Regulated Engineering.

Build demanding software with modern AI – without losing control over architecture, validation, traceability and delivery.

How CodamAI works Explore the features

Your AI writes code. CodamAI turns it into engineering.
Models, roles, permissions, validation rules and delivery stay explicit – and therefore verifiable.

The gap

AI can write code.
Engineering needs structure.

Coding agents produce in minutes what used to take teams days. What they do not produce is the framework around it: a robust architecture, a consistent permission model, reviewed validation rules, a reproducible delivery process and the evidence of how a given version came about.

That is exactly where CodamAI comes in. Not as a replacement for your AI tools, but as a foundation that gives them defined platform capabilities, explicit models and a controlled path into production.

Reuse
Stop solving already solved problems in every new project.
Accelerate
Apply AI where genuinely custom development is required.
Prove
Control and evidence how that becomes production software.
Understand Regulated Engineering

How it works

From prompt to production.

CodamAI does not replace Claude Code, Codex or any other AI coding tool. It gives them a defined backend and delivery framework – through MCP, explicit models and your own pipeline.

See the pipeline in detail
  1. 01

    Generate the frontend with AI

    Claude Code, Codex or any other tool of your choice builds the frontend – exactly as today.

  2. 02

    Connect the CodamAI MCP server

    The AI tool works through defined platform capabilities instead of arbitrary code.

  3. 03

    Define the backend explicitly

    Models, relations, roles, permissions and validation rules become structure, not a text file.

  4. 04

    Review visually in the Hub

    People see what the AI defined – and correct it deliberately before anything is built.

  5. 05

    Ship through your own CI/CD

    Backend application and container image are built in your pipeline, in your infrastructure.

  6. 06

    Reconnect through OpenAPI

    The generated API documentation becomes precise context for the frontend and the AI tools.

Step 05 in detail

CI/CD sub-flow

  1. Load the project definition
  2. Build the application
  3. Create the container image
  4. Deploy to your own infrastructure

Your pipeline. Your infrastructure. Your deployment – for example in your own GitLab, with Jenkins, on-premise, in a private cloud or on Kubernetes.

Why CodamAI

Control where it counts.

Control

Architecture, roles, permissions, validation rules and business rules stay explicitly modelled – not scattered implicitly across generated code.

Evidence

Technical decisions, configuration and artefacts stay traceable. Evidence by design instead of documentation written just before release.

Freedom

AI tools, CI/CD and target infrastructure stay interchangeable and within your control. No platform lock-in, no black-box delivery.

Regulated Engineering

Use AI. Keep control.

For teams with elevated demands on quality, auditability and documentation, speed is only worth something if it stays verifiable. CodamAI supports validation-oriented development processes on the technical side – the regulatory assessment, validation planning and organisational responsibility remain with you.

Explore Regulated Engineering
Quality Gates
Checks become part of the pipeline instead of a review meeting at the end of the project.
Traceability
The link between definition, build and shipped version stays visible.
Validation-aware Engineering
Requirements, models and validation rules stay explicitly and verifiably documented.
Controlled AI usage
Agents work through defined capabilities and permissions – with a human in the loop.

Platform Foundation

Don't rebuild solved problems.

Data models, roles, permissions, tenants, history: in most projects the same technical groundwork is rebuilt over and over. CodamAI provides it as a platform – your domain logic stays your own.

Explore the modules

CDMS

Data Management

Data models, relations, validation rules and tenant context as the backend baseline.

CIAS

Identity & Access

Identities, roles, groups and permissions in one consistent place.

These two modules form the foundation. On top of them, further modules add reporting, processes, app and frontend development – depending on what your project really needs.

  • CRMS · Reporting
  • CPMS · Process Management
  • CADS · App Development
  • CFDS · Frontend Development

All four can be added on and are combined according to the project at hand.

Engineering Insights

Go deeper.

Our knowledge base answers the questions that really matter before a platform decision – technically, not promotionally.

Explore the knowledge base

Build with AI. Stay in control.

Talk to us about how CodamAI fits into your existing development landscape – honestly, technically and without a sales deck.

Angebot anfordern Start a technical conversation