Trusted by teams across Australia, North America and beyond
Sound familiar?
Why Gold Coast teams call us.
The Gold Coast is an SMB and tourism economy — AI-native work here is practical: agents that cut cost-to-serve, not science projects.
Gold Coast teams build AI-native products like booking and support agents, back-office document automation, and copilots that reduce manual work — all needing evals and cost guardrails so they pay for themselves.
We ship in your repo and right-size the build, with a bias to AI that cuts cost-to-serve, designed for the Privacy Act and the Voluntary AI Safety Standard.
The Gold Coast is an SMB and tourism economy where the AI conversation is practical: cost-to-serve, bookings and back-office automation, not moonshots.
"We bolted a chatbot onto our product. It works in the demo and falls over with real users."
"Everyone says add AI. Nobody can tell us what to build, what it costs to run, or how we would know it works."
"Our prototype has no evals, no guardrails and no observability. We cannot ship it and sleep."
"Our token bill keeps climbing and we cannot tell which features or models drive it."
"We need an agent that does real work across our systems, not a wrapper around one prompt."
What we do
What an AI-native build actually includes.
Every engagement starts with a 30-minute call. If we cannot tell you something useful in that window, we do not take the work on.
AI-native architecture
We design the product around the model: where AI sits, where plain code sits, and where a human stays in the loop.
Agentic workflows
Agents that take real action across your systems, with safeguards that stop anything expensive or irreversible.
Retrieval that grounds answers
Chunking, hybrid search and re-ranking, plus the evals that prove answers come from your data.
Evals and observability
Tracing and quality monitoring, so regressions are caught before your customers find them.
Model routing and cost control
The large model where it earns its keep, smaller ones where it does not, and budgets wired in from day one.
AI UX that builds trust
Streaming, citations and graceful failure, so people trust the feature instead of abandoning it.
How we engage
Three ways to start. All begin with a call.
AI-Native Sprint
Two weeks to a working, evaluated prototype of your highest-value AI feature, with the architecture documented. Fixed scope, fixed fee.
from A$10K
Get a proposalAI-Native Build
Six to ten weeks to a production AI feature or product: agents, retrieval, evals, observability and cost controls, in your repo.
from A$50K
Get a proposalEmbedded AI team
A squad that builds alongside your engineers and leaves them able to run it. Two to four days a week, quarterly outcomes.
from A$12K/mo
Get a proposalCompliance and data
Built for Australian rules from day one.
We build to the Essential Eight, the Privacy Act and its Australian Privacy Principles, APRA CPS 234 and CPS 230, the SOCI Act and the national Guidance for AI Adoption, plus AUSTRAC and ASIC rules where your sector needs them.
We are an Australian team headquartered in Surry Hills, Sydney. For Gold Coast engagements we run key sessions on site and the rest remotely, in your timezone.
Australian frameworks
The rules we design to.
Every Australian engagement starts with a map of which obligations apply to you. Then we build the controls into the architecture, so compliance is a property of the system rather than a document.
Also in Gold Coast
Other ways we help Gold Coast teams.
Questions
What Gold Coast teams ask.
Straight answers to what Gold Coast teams ask before they book.
Are you based in Gold Coast?
We are an Australian team headquartered in Surry Hills, Sydney. For Gold Coast engagements we run key sessions on site and the rest remotely, in your timezone. We work with teams across Southport, Surfers Paradise, Robina and Bundall.
How fast can you start?
A two-week AI-Native Sprint can start the Monday after the scoping call. Larger engagements usually begin one to two weeks out.
Do you work in AUD and to Australian rules?
Yes. We contract and price in AUD. We build to the Essential Eight, the Privacy Act and its Australian Privacy Principles, APRA CPS 234 and CPS 230, the SOCI Act and the national Guidance for AI Adoption, plus AUSTRAC and ASIC rules where your sector needs them.
Which models do you build on?
We are model-agnostic: Claude, GPT, Llama and open-weight models, routed on cost and capability. We do not resell one vendor's stack.
Do you hand it over, or keep us dependent?
We hand it over. Code lives in your repo, the architecture is documented, and your team can run and extend it without us.
We're an SMB — can AI actually pay off for us?
Yes, when it's scoped to cost-to-serve: support and back-office agents with evals and cost controls, not a moonshot.
Which models do you build on?
Model-agnostic — routed on cost and capability to keep the run-cost sensible.
Do you actually build, or just advise?
Both, and we never advise without being willing to build. If the answer is Apache Superset, we stand it up. If it is a senior hire, we write the spec and sit on the panel.