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.
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.
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.
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".
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.
Database
Builds the data foundation. Modeling, schema, indexes, migrations, referential integrity. Works from the Architect's blueprint, not a guess.
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.
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.
Quality
Tests what was built. Coverage generated alongside the feature, not three sprints later. Unit, integration, and edge-case scenarios.
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.
Delivery
Puts it into production. Integration with the CI/CD pipeline, impact analysis, deploy. And from there the cycle starts again.
What powers the factory.
Multi-LLM, no lock-in
Each task goes to the right model. The AI market shifts every quarter. The pipeline keeps standing.
RAG and corporate context
The agents read your documentation, your business rules, your existing code. They build within your reality.
Integration with systems and APIs
The software is born connected to what you already have.
End-to-end governance
Every action is traceable: which agent, which model, which decision, which result. Human approval where it matters.
Native to CITSmart X²
The pipeline isn't a side project. It lives at the heart of the platform.
You hire, we build
a service, not a toolCentral IT develops your digital product with the agent pipeline. Our team leads, the agents build, you receive working software.
No learning curve
zero AI team setupYou don't need to assemble a prompt engineering team or figure out what works through trial and error.
Two decades in mission-critical
government and regulated sectorsThe pipeline was built inside systems that can't go down, not in a lab.
Team, support, and SLA in Brazil
in your languageA partner that operates alongside you, not a distant vendor.
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.
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.
Talk to a specialist