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AI Systems
Agents, multimodal systems, document intelligence, voice, computer vision, tool calling and domain-specific AI workflows.
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.
Software, AI, backend, mobile, cloud and product engineering — owned end to end.
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.
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Product Engineering
Complete products built from ambiguous requirements — product logic, interfaces, architecture, integrations and deployment.
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Backend & Systems
APIs, databases, distributed workflows, authentication, payments, integrations and production infrastructure.
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Web & Mobile
High-quality web and mobile experiences built around the actual product instead of isolated screens.
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Automation
Systems that don't only generate answers — they execute actions, call tools, update data, schedule events and interact with external services.
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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
Problems we've worked on.
Most of our commercial work is confidential. We can't show client identities or proprietary systems — but we can talk about the engineering.
PROBLEMSWE'VEWORKEDON
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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
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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
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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
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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
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Document intelligence
Systems designed to extract and understand structured and unstructured information from documents, handwritten content and specialized business records.
- OCR
- Document AI
- Multimodal
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Real-time experiences at scale
Interactive streaming systems supporting thousands of simultaneous users, 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.
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Engineering Partner
For companies that need ongoing technical execution without building an entire internal team.
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Project Delivery
A defined problem, clear outcome and complete delivery.
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Technical Sprint
A focused engagement to explore, validate or solve a difficult engineering problem.
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Embedded Engineering
Work directly alongside your product or engineering team when deep integration makes more sense.
Prove it
Give us a real problem.
No cost.No commitment.Just execution.
We understand that a website, résumé or portfolio can only tell you so much. If there is mutual interest after an initial conversation, give us one real, narrowly scoped technical problem your team is dealing with. We'll agree on a reasonable timeframe and come back with an approach, prototype or working proof.
The goal isn't free development. It's giving both sides a practical way to evaluate technical fit before making a larger commitment.
Builder-led
Built by someone who still builds.
Gald Code was founded by João Paulo Galdino, a Software & AI Product Engineer with five years of hands-on experience building software systems 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
- Technical leadership
- Preçoo Perto
- Backend engineering, broad full-stack scope
- asyma.ai
- Hands-on development
- 5 years
Have a hard problem?
Let's figure it out.
Tell us what you're trying to build, what isn't working, or simply where you believe technology could change the outcome.
Worldwide • Remote • Open to embedded and international engagements