AI Teams

A dedicated AI team for Melbourne, shipping production agents on a fixed roadmap

Production AI agents with SSO, RBAC and audit trails
RAG and knowledge systems over your own data
Australian-led, with afternoon overlap for daily standups
Model evaluation and guardrails from early sprints
AI and machine learning development team working on models

AI Teams in Melbourne

Typically start in 14 days

Why Cipher Projects

Built for how Melbourne actually operates

Perfect Time Zone Overlap

AEST (GMT+10 / AEDT GMT+11)

Melbourne afternoons (11am-4pm) overlap with our Vietnam and Singapore delivery hubs for daily standups

Daily standups that work for both teams. Same-day communication every business day.

Local Melbourne Understanding

Tailored to Melbourne's fintech, health and enterprise sectors, scaling scarce AI talent without Melbourne salaries

We understand Australian business culture and Melbourne's unique requirements.

Australian Legal Framework

Australian contracts. Invoiced from Australia. Legal comfort for your CFO and board.

Full compliance with Australian business standards and expectations.

AI Capabilities

The AI capabilities you actually get

Not a chat-window demo. Production-grade AI built on the same secure foundations we use for cloud infrastructure.

Production AI agents

Agents wired into your real systems with SSO, RBAC and audit trails, governed and observable, not bolted on after the fact.

RAG & knowledge systems

Retrieval pipelines over your documents and data so models answer with your context instead of guessing.

Model evaluation & guardrails

Eval harnesses, regression tests and guardrails so quality is measured and proven before anything ships.

MLOps & monitoring

Deployment, versioning and drift monitoring on AWS and Azure so models stay reliable in production.

The old way

Melbourne ML salaries up. Available ML engineers down

The Cipher way

A full AI team, live in two weeks

Team Structure

The core team includes

AI Teams starter pack: 5 members

Lead ML/AI Engineer

×1
Senior

Leads architecture, agent design and model strategy

Data Engineers

×2
Mid

Build and maintain data and retrieval pipelines

MLOps Engineer

×1
Mid

Handles deployment, evals and monitoring

QA Engineer

×1
Mid

Tests models, agents and data quality

Seniority Mix

60% mid, 40% senior

Balanced team with the right mix of experience and cost efficiency

Scale Path

Expand to 8-12 with additional data engineers, a data scientist and labeling specialists

Data ScientistML Platform EngineerApplied AI Engineer
Proof of work

Real AI systems, in production

A sample of what dedicated Cipher teams have already shipped for regulated and high-output businesses.

Insurance broker go-to-market platform with AI agent

Financial services · Full platform · AI assistant

Insurance broker go-to-market platform

20 pages · lead funnel · AI client support

A complete launch platform for an Australian insurance broker: marketing website, lead qualification funnel, client portal backed by a database, and a secure AI assistant for first-line client questions.

Sports membership platform cloud engineering

Sports & membership · Platform build · Security hardened

Sports membership platform as embedded engineering team

8 months · scaled infrastructure · security closed

Eight months embedded with an Australian sports membership app: secure member accounts, scalable video delivery, fixes after independent security testing, and monitoring the internal team can run day to day.

AI UGC video automation pipeline

Advertising · Video automation · Applied AI

AI ad-video production pipeline

Low-cost compute · 3 inputs to finished video

A repeatable video production workflow for an Australian advertising agency. Add a presenter, script, and voice description; get social-ready videos back. No studio, actors, or usage fees.

Secure AWS agent environment for data analysis

Research · Document automation · Private cloud

Secure analysis environment with AI agents

Private environment · automated triage · full audit trail

A private cloud workspace for an Australian research firm. AI reads incoming documents and email, pulls out structured findings, and hands them to the internal team. All data stays in the client's own environment.

Cost Calculator

View pricing breakdown

Compare costs for Melbourne vs dedicated teams

3 members12 members

Local Melbourne Hiring

$1008k

per year (incl. overheads)

Dedicated Team

$475k

per year (all-inclusive)

Your Annual Savings

$533k

That's approximately 53% savings

* Calculation includes superannuation, payroll tax, leave loading, recruiter fees, and office overheads for local hiring

National custom software cost guide by city → · 12-point vendor vetting checklist → · Freelancer vs agency vs in-house vs offshore →

Get Your Custom Quote
FAQ

Questions Melbourne teams ask

Ready when you are

Build Your AI Teams in Melbourne

Join Australian businesses who've already made the switch. Typically start in 14 days with ~40% cost savings.

2-week replacement guarantee

Zero risk on team quality

Australian contracts & invoicing

Legal comfort for your CFO

99.9% uptime SLA

Reliability you can count on