Production-ready AI

AI Programs Developers in Australia.

From RAG chatbots to fine-tuned production agents.

AI is moving fast, but most of the value still comes from boring, well-engineered systems. We connect you with Australian developers who ship reliable AI features, not hype demos.

Talk to a specialist

Timeline

2 to 12 weeks

Team

1 AI engineer, 1 backend dev

Starting from

from $3k

Best fit

Who this works for.

Teams adding AI to an existing product
Internal tools to reduce manual work
Customer-facing assistants and agents

What's included

Every Australian engagement comes with these foundations.

Use-case validation

Before any code, we make sure the use case is actually a fit for an LLM. Sometimes the answer is a SQL query.

Retrieval & evals

RAG pipelines with proper retrieval, plus eval harnesses so you can tell if your changes are improvements.

Cost & latency budgets

We design within a per-call cost ceiling. No surprise OpenAI bills.

Guardrails

Prompt injection, jailbreaks, PII leakage. Hardened from day one.

Observability

LangSmith, Helicone, or custom: every call logged, replayable, and reviewable.

Process

How a ai programs engagement actually runs.

Scoping

Map the use case, the data sources, and the success metrics. Decide between LLM, fine-tune, or classical ML.

Prototype

A working demo on your data within 2 to 3 weeks. Crude but real.

Production hardening

Evals, guardrails, caching, fallbacks, and proper observability.

Launch & monitor

Phased rollout with kill switches. Monthly review of accuracy, cost, and user feedback.

What you walk away with

Deliverables.

Working AI feature in your product
Eval suite with regression tests
Prompt and model registry
Cost dashboard
Runbook for failure modes

Stack

Tools we use.

Anthropic Claude OpenAI LangChain LlamaIndex Pinecone Postgres + pgvector LangSmith

We're stack-flexible. If your team already runs on something different, we'll match it.

Australian pricing

Three engagement sizes. One fixed price for each.

Quotes from three matched Australian developers come with their own pricing in AUD. These ranges are what most projects land on.

Spike

from $3k

A 2-week prototype on your data to prove value before committing.

1 use case
Demo on your data
Cost projection
Go/no-go report

Most picked

Feature

from $14k

Production-ready AI feature integrated into your existing app.

Eval harness
Guardrails
Observability
8 to 12 week build

Platform

from $38k

Multi-feature AI surface area with shared infra and tooling.

Multiple use cases
Internal AI platform
Fine-tuning pipeline
Ongoing partnership

FAQ

Common questions.

We're model-agnostic. For most use cases, frontier models (Claude, GPT) win on quality. For high-volume or sensitive data, fine-tuned open-source models on your infra make sense.

Retrieval, structured output, evals, and acceptance of the fact that some hallucinations are inevitable. The right answer is usually scoping the LLM's role narrowly enough that hallucinations don't cause harm.

Not when configured correctly. We use enterprise / API tiers with no training rights, and we set up your contracts and infrastructure to enforce that.

Fast, and that's a real risk. We architect so models can be swapped without rewriting the surrounding code.

Keep exploring