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AI-powered development

Your system, built with AI and engineering.

AI writes code fast, and we use it at every stage. What comes from years of building systems is deciding what it generates, how the system is organized and what goes live.

Every project starts with data in mind: each order, customer interaction and payment becomes a number, and the number becomes a dashboard. Whenever possible, AI agents take the repetitive work off your team.

Laptop with a management dashboard open on the workbench of an empty workshop

What we build

  • Internal systems

    Orders, inventory, work orders, approvals, commissions. Your company's process, the way it actually works, out of the spreadsheet.

  • SaaS

    From prototype to first paying customer: sign-up, plans and billing, per-company permissions and an admin dashboard.

  • Apps

    iPhone and Android apps for your field team or your customers, published in the app stores.

  • AI agents

    Software that does the work: reads orders and documents, answers customers, sorts and records. Your team reviews and decides.

  • Integrations

    The new system talking to your ERP, your bank, WhatsApp, your invoicing system and the spreadsheet nobody wants to let go of.

  • Data dashboards

    Every system measures from day one. Your operating numbers turn into dashboards and alerts, with no reports put together by hand.

How we work

Four stages, and each one ends with something you can see and use.

  1. 1

    Understand

    We talk to the people who run the process every day and map where it gets stuck, what's a rule and what's just habit.

    You get

    A short list of what the system needs to solve first, and what can wait.

  2. 2

    Design

    The main flow becomes a clickable prototype. Your team tries it before full development starts, while changing your mind is still cheap.

    You get

    A clickable prototype and a proposal with phases, timeline and price.

  3. 3

    Build

    Short releases, in use early, with AI agents speeding up testing, review and documentation. You follow along week by week.

    You get

    The system live, a data dashboard and documentation of what was built.

  4. 4

    Look after

    Systems in use change. We stay close to fix, adjust and improve them, through Technical continuity.

    You get

    Tickets, prepaid hours and reports in the Console.

Technology

The same tools we use in our own products, like the Console and the Anuntech app. Chosen to last, and so any good team can maintain what we build.

Web and SaaS
Next.jsReactTypeScriptTailwind CSS
Apps
ExpoReact NativeiOSAndroid
Data
PostgreSQLDrizzleDashboards and metrics
AI
AI SDKAgentsModels from Anthropic, OpenAI and Google
Infrastructure
VercelAnuntech CloudMonitoringBackups

Rescue for AI-built apps

Started alone with AI and got stuck? We'll take it from here.

Tools like Lovable, Bolt and Cursor made getting started easy. Launching, handling real users and keeping it secure are still hard. We pick up where you left off.

What the assessment covers

  • Code

    Structure, duplicated parts, what the AI generated that nobody understands.

  • Security

    Passwords, exposed keys, who can see what, what leaks if something goes wrong.

  • Database

    Whether it can handle growth, whether it's backed up and whether the data is consistent.

  • Cost

    What the servers will cost once more users show up.

  • LGPD

    Brazil's data protection law: where personal data lives and what needs to change to comply.

1. Assessment

You get what's working, what's a risk and what needs to change.

2. Plan

Keep, fix or rebuild parts, with timeline and price set before any work starts.

3. We take over

We ship it, secure it and keep looking after it, through Technical continuity.

Technical continuity

The people who built it keep looking after it.

For anyone who has already built a system with Anuntech. The system stays with the team that knows every decision made in the code, and everything goes through the Console, the client area.

  • FixesSomething stopped working or looks wrong: open a ticket in the Console and the team fixes it.
  • Security updatesLibraries and servers kept up to date before they turn into a problem.
  • New featuresNew functionality when the business changes, without relearning the system from scratch.
  • AdviceHelp deciding the next step: integrate, scale, automate with agents.

In the Console you open tickets, follow what the team is working on, see how many of your prepaid hours have been used and get the reports. On your phone too.

A developer's desk at night, with two monitors and a violet light on the wall

How it starts

  1. 1

    Conversation

    You tell us the problem on WhatsApp. We ask the right questions and tell you honestly whether it makes sense.

  2. 2

    Proposal

    You get a Console link with the phases, timeline and price, and you accept it right there.

  3. 3

    Kickoff

    The project goes on the Console board, access gets sorted out and the first delivery is scheduled.

Frequently asked questions

How much does a system cost?

It depends on the size of the problem. After the first conversation, you get a proposal through the Console with the phases, timeline and price of each one, and you only start if it makes sense.

Why not build it myself with AI?

You can start that way, and plenty of people do. What's usually missing is everything else: architecture, security, integrations, server costs and someone who answers for the system afterward. If you've already started, the rescue picks up where you left off.

Do you use AI in your projects?

At every stage: to prototype, write and review code, test and document, and inside the systems, with agents that handle the repetitive work. Deciding what goes live is still up to the team.

Who owns the code?

That's set in each project's contract, before we start.

What happens after delivery?

The system carries on under Technical continuity: tickets, fixes, security and new features, all tracked in the Console.

Do you only build large systems?

No. Often the starting point is one piece of the process, the one that hurts most. That alone removes a good part of the rework and shows quickly whether the approach is right.

Tell us what you need to build.

No forms. You explain the problem on WhatsApp and we tell you honestly whether it makes sense to work together.