Capabilities

Engineering across the whole product.

Eleven areas of practice. Each one exists because a real problem needed it — not because it looks good on a services list.

Practice areas

01

Software Engineering

The problem
Business logic that outgrew spreadsheets, internal tools and improvised processes.
What we build
Custom systems designed around how the company actually operates, with maintainable architecture and clear domain boundaries.
Why it matters
Operational cost drops when the software matches the business instead of forcing the business to adapt.
02

AI Systems

The problem
Problems where deterministic software cannot understand, perceive or reason well enough.
What we build
Retrieval pipelines, evaluation harnesses, grounded reasoning, guardrails and production-grade model orchestration.
Why it matters
AI becomes a dependable part of the product instead of an unpredictable demo.
03

Agentic Workflows

The problem
Work that still depends on a person clicking through several systems to finish one task.
What we build
Agents with tool calling, state, permissions and auditability — able to schedule, transact, update records and escalate to humans.
Why it matters
Throughput increases without adding headcount, and the process becomes observable.
04

Backend & Architecture

The problem
Systems that break under real usage, real data volume or real concurrency.
What we build
APIs, data models, queues, event-driven workflows, authentication, payments and deployment pipelines.
Why it matters
The platform stops being the constraint on how fast the company can move.
05

Product Engineering

The problem
Requirements that are still ambiguous, contradictory or incomplete.
What we build
Scoping, product logic, interface design and delivery of a coherent end-to-end product.
Why it matters
Fewer wasted cycles building the wrong thing precisely.
06

Mobile

The problem
Products that need to live where the user actually is.
What we build
Native and cross-platform applications with offline behaviour, device sensors, camera pipelines and app-store delivery.
Why it matters
Mobile becomes a first-class surface of the product, not a reduced copy of the web app.
07

Cloud & Integrations

The problem
Critical operations spread across services that don't talk to each other.
What we build
Infrastructure, containers, CI/CD, observability and integrations with payments, messaging, maps and third-party APIs.
Why it matters
Fewer manual handoffs, fewer silent failures, faster and safer releases.
08

Computer Vision

The problem
Information that exists physically but never becomes usable data.
What we build
Detection, segmentation, region analysis, OCR and handwritten document understanding.
Why it matters
Manual inspection and typing turn into automated, reviewable processes.
09

3D & Spatial Computing

The problem
Decisions that depend on the geometry of the real world.
What we build
Photogrammetry, LiDAR capture, reconstruction pipelines, geolocation and spatial data models.
Why it matters
Physical space becomes measurable, comparable and usable inside the product.
10

Automation

The problem
Repetitive execution that quietly consumes the team's best hours.
What we build
Event-driven jobs, scheduled routines, document flows, notifications and system-to-system orchestration.
Why it matters
The team spends its time on judgement instead of repetition.
11

Data Systems

The problem
Data that exists but cannot be trusted or queried when a decision is needed.
What we build
Ingestion, modelling, warehousing, metrics layers and reporting surfaces built for the questions the business actually asks.
Why it matters
Decisions stop depending on whoever exported the last spreadsheet.

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Gald Code

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

Contact

ceo@galdcode.com
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