Software • AI • Product Engineering

Complex problems.Working systems.

Gald Code builds custom software, AI systems and digital products for companies that need more than development — they need someone who can understand the problem, design the solution and own the execution.

Brazil-based • International remote collaboration • Architecture to launch.

Not another software house

You don't need more code. You need the right system.

Most difficult engineering projects don't fail because nobody can write the code. They fail because the problem wasn't properly understood, the architecture didn't match the business, or nobody took ownership of the complete outcome.

Gald Code works differently. We start with the problem, understand what actually needs to happen, and build from there.

Technology is the implementation.
The real product is the result.

Capabilities

From idea to production.

We operate across multiple engineering layers so the solution doesn't have to be limited by the boundaries of a specific developer.

01

AI Systems

Agents, multimodal systems, document intelligence, voice, computer vision, tool calling and domain-specific AI workflows.

02

Product Engineering

Complete products built from ambiguous requirements — product logic, interfaces, architecture, integrations and deployment.

03

Backend & Systems

APIs, databases, distributed workflows, authentication, payments, integrations and production infrastructure.

04

Web & Mobile

High-quality web and mobile experiences built around the actual product instead of isolated screens.

05

Automation

Systems that don't only generate answers — they execute actions, call tools, update data, schedule events and interact with external services.

06

Experimental Engineering

Computer vision, 3D reconstruction, LiDAR, photogrammetry, geolocation and technically unusual problems without obvious off-the-shelf answers.

Have something unusual in mind?Talk to us →

Selected engineering

Engineering experience behind Gald Code.

Selected examples from João’s engineering experience, including work before Gald Code was established. Descriptions are anonymized; they are not a list of Gald Code client deliveries.

01

3D reconstruction from the real world

Combining photogrammetry, LiDAR and machine learning to transform physical captures into usable 3D representations.

  • Computer Vision
  • LiDAR
  • Photogrammetry
  • Machine Learning
02

AI-powered aesthetic simulation

Identifying facial regions and sub-regions through computer vision and manipulating them to simulate localized aesthetic procedures.

  • Computer Vision
  • Machine Learning
  • Facial Analysis
03

Agents that actually do things

AI systems capable of understanding conversations and executing real actions — scheduling appointments, calling functions, generating payment links and updating workflows.

  • AI Agents
  • Tool Calling
  • Payments
  • Automation
04

AI for structured negotiation

Specialized AI systems grounded in established negotiation frameworks such as BATNA to reason about alternatives, concessions and negotiation strategy.

  • AI Agents
  • Negotiation
  • Decision Systems
05

Document intelligence

Systems designed to extract and understand structured and unstructured information from documents, handwritten content and specialized business records.

  • OCR
  • Document AI
  • Multimodal
06

Real-time experiences at scale

Interactive streaming systems with live interactions, games and real-time rankings.

  • Real-time
  • Streaming
  • WebSockets
  • Scale

Engineering mindset

Ownership changes everything.

We don't see engineering as a queue of tickets. We see the product, the customer, the technical constraints and the business behind it as parts of the same problem.

That means asking uncomfortable questions early, changing direction when necessary and taking responsibility for whether what we build actually works.

Understand before building.

Ship before overengineering.

Automate execution. Never automate responsibility.

Treat the company's outcome as our own.

AI is not a feature

AI should change what the product can do.

We don't add AI because the market expects an AI badge. We use it when it improves the product — when a system needs to understand, reason, perceive, interact or execute beyond what traditional software can efficiently accomplish.

  • Agents.
  • Vision.
  • Voice.
  • Documents.
  • Retrieval.
  • Tools.
  • Automation.

The model is only one component.
The system around it is what makes it useful.

How we can work together

Different problems require different relationships.

01

Engineering Partner

For companies that need ongoing technical execution without building an entire internal team.

02

Project Delivery

A defined problem, clear outcome and complete delivery.

03

Technical Sprint

A focused engagement to explore, validate or solve a difficult engineering problem.

04

Embedded Engineering

Work directly alongside your product or engineering team when deep integration makes more sense.

Delivery process

A clear path from problem to launch.

We agree on the phases, deliverables, communication cadence and acceptance criteria that your project needs—not a rigid process for every engagement.

  1. 01

    Discovery

    Understand the business problem, users, constraints, integrations and expected outcomes.

  2. 02

    Solution design

    Define scope, architecture, milestones, delivery strategy and technical risks.

  3. 03

    Engineering

    Build with maintainable code, testing and structured reviews of progress.

  4. 04

    Validation

    Review functionality, performance, accessibility, security and agreed acceptance criteria.

  5. 05

    Launch & evolution

    Deploy, document and transfer knowledge; arrange ongoing support according to the contract.

Initial discovery

Start with the problem.

Understand.Evaluate fit.Define scope.

The initial conversation is about your business requirements, constraints and whether we are the right engineering partner. We can discuss preliminary technical direction and agree on a sensible next step.

Detailed architecture, prototypes, proofs of concept and implementation are separately scoped. For complex requirements, we may propose a technical discovery engagement.

Builder-led

Built by someone who still builds.

Gald Code was formally established in 2026 by João Paulo Galdino, a Software & AI Product Engineer. He has programmed since 2019 and worked in commercial software development since 2022, across backend, frontend, mobile, cloud and applied AI.

His work ranges from production business systems and AI agents to computer vision, real-time platforms, 3D reconstruction and technically unconventional products.

He operates with a founder mindset: engineering decisions are business decisions, and ownership doesn't end when the code compiles.

“I don't want to be responsible for writing the code. I want to be responsible for making it work.”
Founder
Gald Code
Company established
2026
Commercial development
Since 2022
Programming
Since 2019

Have a hard problem?

Let's figure it out.

Have an RFP or project brief? Send it for review. We’ll discuss your requirements, constraints and the next step before proposing a scope.

Worldwide • Remote • Open to embedded and international engagements

Gald Code

Software and AI engineering for teams that need clarity, speed and execution.

Contact

ceo@galdcode.com
© 2026 Gald Codegaldcode.com