AI Systems
Agents, multimodal systems, document intelligence, voice, computer vision, tool calling and domain-specific AI workflows.
Software • AI • Product Engineering
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
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
We operate across multiple engineering layers so the solution doesn't have to be limited by the boundaries of a specific developer.
Agents, multimodal systems, document intelligence, voice, computer vision, tool calling and domain-specific AI workflows.
Complete products built from ambiguous requirements — product logic, interfaces, architecture, integrations and deployment.
APIs, databases, distributed workflows, authentication, payments, integrations and production infrastructure.
High-quality web and mobile experiences built around the actual product instead of isolated screens.
Systems that don't only generate answers — they execute actions, call tools, update data, schedule events and interact with external services.
Computer vision, 3D reconstruction, LiDAR, photogrammetry, geolocation and technically unusual problems without obvious off-the-shelf answers.
Selected engineering
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.
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Combining photogrammetry, LiDAR and machine learning to transform physical captures into usable 3D representations.
Identifying facial regions and sub-regions through computer vision and manipulating them to simulate localized aesthetic procedures.
AI systems capable of understanding conversations and executing real actions — scheduling appointments, calling functions, generating payment links and updating workflows.
Specialized AI systems grounded in established negotiation frameworks such as BATNA to reason about alternatives, concessions and negotiation strategy.
Systems designed to extract and understand structured and unstructured information from documents, handwritten content and specialized business records.
Interactive streaming systems with live interactions, games and real-time rankings.
Engineering mindset
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
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.
The model is only one component.
The system around it is what makes it useful.
How we can work together
For companies that need ongoing technical execution without building an entire internal team.
A defined problem, clear outcome and complete delivery.
A focused engagement to explore, validate or solve a difficult engineering problem.
Work directly alongside your product or engineering team when deep integration makes more sense.
Delivery process
We agree on the phases, deliverables, communication cadence and acceptance criteria that your project needs—not a rigid process for every engagement.
Understand the business problem, users, constraints, integrations and expected outcomes.
Define scope, architecture, milestones, delivery strategy and technical risks.
Build with maintainable code, testing and structured reviews of progress.
Review functionality, performance, accessibility, security and agreed acceptance criteria.
Deploy, document and transfer knowledge; arrange ongoing support according to the contract.
Initial discovery
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
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.”
Have a hard problem?
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
Software and AI engineering for teams that need clarity, speed and execution.