Australian technology company · Est. 2015

The engineering team
behind serious software.

Goliath Development is the technology partner Australian enterprises rely on to research, engineer and commercialise mission-critical systems.

Artificial Intelligence

Applied AI, engineered for production.

We ship reliable AI systems — retrieval, agents, prediction — with the observability, evaluation and safety controls the enterprise needs.

  • Retrieval-augmented generation with grounded outputs
  • Agent orchestration with human-in-the-loop review
  • Model evaluation harnesses and continuous benchmarking
  • Data governance, PII protection and audit trails
Illustration of a neural network graph

Cloud & Infrastructure

Infrastructure your engineers deserve.

Cloud-native architecture on AWS, Azure and GCP. Infrastructure as code, zero-downtime deploys, observability by default.

  • Multi-region, autoscaling architecture
  • GitOps deployment pipelines
  • SOC 2-aligned baseline controls
  • Cost-optimised — measured monthly, not annually
Dark data center corridor with racks

Technology

The stack behind production systems.

Deliberate technology choices, operated at scale across cloud, data, AI and integration platforms.

Languages & Runtimes

  • TypeScript
  • Python
  • Go
  • Rust

Frontend

  • React
  • Next.js
  • TanStack
  • React Native

Backend & APIs

  • Node.js
  • FastAPI
  • .NET
  • GraphQL

Data & Storage

  • PostgreSQL
  • ClickHouse
  • Redis
  • Snowflake

AI & ML

  • OpenAI
  • Anthropic
  • Vertex AI
  • PyTorch

Cloud & Infrastructure

  • AWS
  • Azure
  • Google Cloud
  • Kubernetes

Platform & DevOps

  • GitHub Actions
  • Datadog
  • OpenTelemetry
  • Grafana

Integration

  • Kafka
  • Temporal
  • Salesforce
  • SAP

Industries

Sectors we know.

Deep domain literacy across regulated and complex industries — banking, healthcare, logistics, energy, government and beyond.

Financial Services

Healthcare & Life Sciences

Logistics & Supply Chain

Energy & Utilities

Government & Public Sector

Retail & Commerce

Education

Industrial & Manufacturing

Why Goliath

Why enterprises choose us.

A different kind of technology partner — senior engineers, end-to-end accountability, measurable outcomes.

Senior engineers only

Every engagement is staffed by senior practitioners. No layered account teams, no offshore handoffs, no rotating juniors learning on your budget.

Accountable end-to-end

One team owns discovery, architecture, engineering, deployment and operations. A single accountability line from decision to production.

Security as a baseline

Least-privilege access, encrypted data paths, audit trails and secure SDLC are the starting point — not upgrades priced later.

Measured against outcomes

Success is defined in revenue, cost, throughput, uptime or risk reduction — agreed before we start and reviewed against the numbers.

10+
Years shipping enterprise software
60M+
Records processed in production per month
99.99%
Median uptime across managed platforms
AU
Australian owned & operated

Testimonials

Trusted by teams that ship.

Goliath took a program our internal team had struggled with for eighteen months and delivered a production system in a quarter. The difference is engineering discipline.
Group CTO
ASX-listed financial services
They gave us straight answers when other vendors were selling roadmaps. The architecture they proposed still holds up two years later.
Chief Information Officer
National healthcare provider
Small, senior team. No noise. They ship. We now benchmark other partners against the standard they set.
Head of Digital
Government agency

Insights

Recent from the practice.

Perspectives on the technology decisions that materially affect enterprise outcomes.

Artificial Intelligence

Engineering AI systems for production, not demos

The gap between an impressive prototype and a reliable AI system is engineering discipline. Evaluation harnesses, retrieval quality and failure modes decide whether a model survives contact with real users.

24 June 20269 min read
Business Automation

Building business automation that survives its second year

Most automation projects degrade quickly because they were never designed to be maintained. Ownership, observability and versioning make the difference between compounding value and compounding debt.

30 May 20268 min read
Digital Transformation

Digital transformation that actually transforms

Programmes that treat transformation as a technology procurement fail. Programmes that treat it as an operating-model change, executed through software, succeed. What separates the two.

8 May 20269 min read

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