/AI coding platform for business & enterprise

Your Company's AI Engineering Layer

CodeX Builder App gives your team a complete AI development environment. Best for businesses that want to scale engineering without losing control.

  • Complete IDE + AI Agent
  • 3,000+ Specialized Skills
  • Full Control Over Cost And Data
  • Use any AI model
Compare Setups
CodeX Builder showing the agent's reviewed changes, ready to approve and push to Git

01 /Our promise

Every engineer gets an autonomous AI teammate that plans, writes, tests and ships code — while your company keeps the models, the spend, the data and the infrastructure in its own hands.

Your AI. Your models. Your infrastructure. Your choice.

02 /Enterprise control

Built Around The Controls A Business Needs

Bring Your Own Key (BYOK)

  • Your AI account
  • No markup

Use your own AI account, your way. Connect the provider contracts you already have and CodeX Builder bills nothing on top.

  • No extra markup on AI costs
  • Full control over your spending
  • No lock-in to one provider
  • Mix and match models for different tasks
  • OpenAIYour key
  • AnthropicYour key
  • GeminiYour key
  • KimiYour key
  • DeepSeekYour key

One Task. Many Agents Working Together

  • Multi-agent
  • Parallel work

For bigger tasks, CodeX Builder can split the work across multiple specialized agents — each handling their own part, so nothing gets missed. A request like building a full checkout system could be split like this:

Task

Build a full checkout system

  • Frontend Agent
  • Backend Agent
  • Database Agent
  • Testing Agent
  • Review Agent

Keep Everything In-House — Model, GPU, And Infrastructure

  • Self-hosted
  • Open-source models

If your company already has its own AI hardware and models, you don't need ours. CodeX Builder can just plug into what you already have.

Data control
Your code and data never have to leave your systems.
Cost control
No extra AI provider fees, since it runs on your own GPU.
Deployment control
You decide exactly how and where it runs.
  1. Your Company's GPU
  2. Your Open-Source AI Model
  3. CodeX Builder
  4. AI Coding Agent
  5. Your Company's Codebase

Choose Between Cloud AI and Local AI

  • Cloud
  • Local

Use our cloud AI for convenience, or run it locally for full control.

The AI runs on the internet or company servers — the normal way.

  • No setup needed, works instantly
  • Always up to date
  • No hardware requirements

03 /Deployment options

Pick The Setup That Fits Your Budget, Privacy Needs, And Control

As you move down, you get more control and often lower cost — pick whichever level fits your business.

  1. 01

    Managed Plans

    Easiest to start — we handle everything.

  2. 02

    Low-Cost Models

    Save money on routine, simple tasks.

  3. 03

    BYOK

    Use your own AI account and control your spend.

  4. 04

    Local Models

    Run it on your own machine for more privacy.

  5. 05

    Own GPU + Open Source

    Full control over budget, privacy, and infrastructure.

04 /Team output

Increase The Output Of Your Existing Team Before Increasing Headcount

Less time on

Busywork

  • Repetitive starter code
  • Fixing small bugs
  • Manual testing
  • Basic documentation

More time on

Real engineering

  • System design
  • Code reviews
  • Building new features
  • Solving hard problems

05 /Comparison

One Platform Instead Of Five Tools

Most AI coding tools give you an assistant and leave the rest to other products. CodeX Builder puts the agent, the workspace and the controls in one place.

Feature
CodeX Builder12/ 12
Typical AI Coding Tools2/ 12
Workspace
AI Coding Agent
Complete IDE
Git
Terminal
3,000+ Skills
Multi-Agent Workflows
Control
Multi-model Support
BYOK (Bring Your Own Key)
Local Models
Bring Your Own Model
Bring Your Own GPU
Cost Flexibility

06 /Who it's for

For Teams Ready To Scale Engineering With AI

Engineering Leaders

Ship more of the roadmap with the team you already have, and see exactly where AI time and money go.

Platform & IT Teams

Roll out one approved AI workspace, choose the models, and run it in the cloud, on laptops, or on your own GPUs.

Security-Conscious Companies

Keep source code on your own systems with local and self-hosted models, and use your own provider accounts.

07 /Admin dashboard

One Dashboard To Control Your Entire AI Engineering Organization

AdminLast 14 days

Users

248

+12 this week

Active today

186

75% of seats

Monthly usage

1.94M

tokens

AI spend

$412

of $600 limit

Usage trend

Teams

  • Platform team48
  • Mobile team31
  • Data team22
  • Interns16
  1. 01

    Seats & teams

    Add people, group them into teams, and see who is active.

  2. 02

    Budgets & limits

    Set monthly spend limits for the company, a team, or one person.

  3. 03

    Model choices

    Decide which models each team can use, from cloud to local.

  4. 04

    Usage reports

    Follow requests and spend by day and month to plan ahead.

08 /Q&A

Questions Businesses Ask

  • Yes. With Bring Your Own Key you connect your existing provider accounts, pay the provider directly, and CodeX Builder adds no markup on AI usage. You can mix providers and use different models for different tasks.

  • Yes. If your company already runs its own AI hardware and open-source models, CodeX Builder plugs into them, so the coding agent runs on infrastructure you own and there are no extra AI provider fees.

  • No. With local models or your own GPU and model, the agent works on your codebase without sending it to an outside AI provider. You decide exactly how and where it runs.

  • The admin dashboard shows every user and team with daily and monthly usage, and lets you set spending limits. Routine work can go to low-cost models while harder tasks use stronger ones.

  • CodeX Builder is a complete IDE with an autonomous coding agent, Git, a terminal and 3,000+ specialized skills in one workspace. The agent reads your project, plans the task, edits many files, runs tests and hands you the changes to review.

  • Book a demo and we will walk through your setup. Most teams start on a managed plan and move to BYOK, local models or their own GPUs as their needs for privacy and cost control grow.

More questions?

09 /Get started

Give Your Team An AI-Powered Development Platform

Your AI. Your models. Your infrastructure. Your choice.

/Get started

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