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Software Factory

More than low-code. Your product built by AI agents, in days.

Low-code gets stuck on business rules and integration. A traditional factory costs months and a whole team. Hyper Agents is the third way: an agent pipeline that builds software end to end, real code, no platform ceiling. And it's not a roadmap promise.

Multi-LLM no AI model lock-in
24×7 agents running in the background
100% traceability of every action
The proof
What we did

We already built an entire ERP this way.

Central IT built a full ERP product with the Hyper Agents pipeline. Not a pilot, not a weekend proof of concept: a real management system, in production, built by orchestrated agents with our engineering team leading. And an ERP is among the most complex software there is.

What that means for you

If the pipeline handled an entire ERP, it can handle your product.

You don't buy a tool and hope it works. You're hiring the service of a team that already proved the pipeline on the hardest software there is, and uses it every day to build its own portfolio.

The pipeline

One agent for each role, orchestrated end to end.

The output of one agent is the input of the next — Agent Chaining. The Backend knows which schema the DBA created, the Frontend knows which API the Backend exposed, the Testing agent knows which rule the Architect defined. That shared memory is what separates "AI that generates a code snippet" from "AI that builds a system".

Autonomous agent

Architect

Coordinates the project and defines the blueprint. Translates the business objective into a technical decision: domain model, layers, contracts between modules, standards the other agents follow.

Autonomous agent

Database

Builds the data foundation. Modeling, schema, indexes, migrations, referential integrity. Works from the Architect's blueprint, not a guess.

Autonomous agent

Backend

Implements the logic and the APIs. Business rules, services, endpoints, authentication, error handling. Code that follows the project's standard, not a tutorial's.

Autonomous agent

Frontend

Implements the interface and consumption. Screens, components, and integration with the APIs the Backend just exposed. No mismatch between who publishes and who consumes.

Pipeline stage

Quality

Tests what was built. Coverage generated alongside the feature, not three sprints later. Unit, integration, and edge-case scenarios.

Pipeline stage

Documentation

Records what exists. Documentation that's born with the code and updates when it changes. No gap between what's written and what runs.

Pipeline stage

Delivery

Puts it into production. Integration with the CI/CD pipeline, impact analysis, deploy. And from there the cycle starts again.

Under the hood

What powers the factory.

Models

Multi-LLM, no lock-in

Each task goes to the right model. The AI market shifts every quarter. The pipeline keeps standing.

Context

RAG and corporate context

The agents read your documentation, your business rules, your existing code. They build within your reality.

Integration

Integration with systems and APIs

The software is born connected to what you already have.

Governance

End-to-end governance

Every action is traceable: which agent, which model, which decision, which result. Human approval where it matters.

Platform

Native to CITSmart X²

The pipeline isn't a side project. It lives at the heart of the platform.

01

You hire, we build

a service, not a tool

Central IT develops your digital product with the agent pipeline. Our team leads, the agents build, you receive working software.

02

No learning curve

zero AI team setup

You don't need to assemble a prompt engineering team or figure out what works through trial and error.

03

Two decades in mission-critical

government and regulated sectors

The pipeline was built inside systems that can't go down, not in a lab.

04

Team, support, and SLA in Brazil

in your language

A partner that operates alongside you, not a distant vendor.

Frequently asked questions

Common questions.

Is the generated code mine?

Yes. The pipeline produces real source code, in your stack, in your repository. No proprietary runtime, no platform dependency for the software to keep running.

Does this replace my development team?

No. It changes what they do. Less time on mechanical work, more time on product and architecture decisions. The agents build, the people direct.

How do I know the software will work?

Testing and review are part of the pipeline, not an optional step cut when the deadline tightens. And every agent decision is logged and auditable.

Have you actually used this for real?

Yes. We built a full ERP product with this pipeline, the same one we make available to our clients.

What's the difference between this and the general Hyper Agents?

Hyper Agents is the engine for creating and orchestrating AI agents for any area of the organization. Software Factory is its application to the development cycle, with agents specialized in architecture, data, backend, and frontend.

Next step

From scope to first delivery in days.

Bring us the product you need to build. We map the scope, assemble the agent pipeline, and show you the first module working. Not in a slide, in running code.

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