Discovery and data readiness
We turn a business problem into a delivery plan: users, data quality, systems of record, risk, and what can wait for a later release.
AI Development Company in Sydney
Dev House Australia builds production AI for Sydney teams from our Australian office at 60 Martin Place, Sydney, NSW 2000. We help you decide whether the work is a language-model feature, a classical model, automation, or a conversation product, then take it through integration, evaluation, and support. Nationwide delivery still sits on our AI development service; this page is for Sydney-based conversations.
Book an AI scoping call
Bring the problem, the data you can share, and the systems the solution must talk to. We will talk through approach and a first milestone, in Australian time zones.
CLIENTS
Trusted by Australian & Global Businesses
ZAGG
SpeakToFile
Planitas
MedXNote
BMW
WrkWrk
IFAV HUB
ImmerseReality
EI Electronics
Prosperity
AEM Ireland
Emere
Careers Portal
Kurd Shopping
Mophie
FindQo.ie
Tenantin.ie
Dialsave
Patrick Ward & Co. Solicitors
Smart Pricer
Sitara Medical Clinic
Noel's Restaurant
R&B Concrete Pumping
Sextherapy.ie
M&I Interiors
Tenoo Restaurant
Boatbookings
Gyst
Partners Logistics
Broker IQ, YAVIA
Fenchurch Legal
Glenveagh Homes
The Matt Haycox Group
Panacea Financial Bank
Primis Bank
Medserv Medical
Scope
AI development for Sydney teams
Same delivery path as the national service (discovery, data readiness, the right approach, integration, evaluation, and run) with a Sydney office and Australian business hours for the people who need to meet.
Custom AI in existing software
We add scoring, retrieval, document intelligence, or recommendations to the web, mobile, CRM, or ERP estate you already run, without replacing the core system.
LLM applications
When the job is language, retrieval, or generation against your sources, that work is owned on the LLM development page.
Machine learning and prediction
When the job is a model on structured or visual data (forecasts, ranking, inspection) that work is owned on the machine learning page.
Automation of repeatable work
When the job is a workflow or RPA path with or without a model, that work is owned on the AI automation page.
Conversational products
When the product is a chatbot or assistant with channels and hand-off, that work is owned on the chatbot development page.
Evaluation, security, and handover
We set success metrics before scale, add the obvious privacy and access controls, and leave monitoring and documentation your team can operate.
Support after launch
We stay on for drift, prompt or model change, and the next slice of the roadmap. We do not publish a catalogue price before the scope is clear.
Sydney
Office, market, and how we work here
This is the only Australian street address we publish. We work with Sydney product teams and with organisations elsewhere in Australia from this office. We do not list offices we do not have.
Sydney office
60 Martin Place, Sydney, NSW 2000. Phone +61 2 9188 9477. Use the contact form or book a meeting if you want a scoping conversation.
Finance and fintech
Decision support and document or onboarding work where identity, auditability, and existing Sydney banking or payments systems are part of the brief.
Healthcare and digital health
Clinical or admin AI that treats privacy, consent, and reliable messaging as product requirements.
Operations and professional services
Internal tools and document intelligence for teams who need the model inside a real workflow, not a demo.
Technological Stack Expertise
What we actually deliver with
Primary delivery is Python and SQL against the cloud you already use. TensorFlow and PyTorch stay available when a custom model is the responsible choice. Language-model, automation, and conversation work is detailed on those service pages, this page owns the commercial AI engagement.
Industries
AI in Australian operating contexts
We apply the same delivery model to sector constraints (identity, records, and operational systems) and link through to the industry pages that already exist on this site.
Finance
Decision support and document or onboarding work where auditability and existing banking systems are part of the brief.
Healthcare
Clinical or admin AI that treats privacy, consent, and reliable messaging as product requirements.
Government
Service and staff tools that need clear information, secure access, and a maintainable operating model.
Retail and ecommerce
Catalogue, demand, and customer-operations AI that has to stay in step with inventory and fulfilment.
Approach
Choose the thinnest AI that owns the job
There is no default stack. A language model, a classical model, an automation path, and a chatbot are different products. We recommend after we understand the workflow, the data, and who is accountable when the output is wrong.
Language-model features
Search, draft, summarise, or answer from governed sources when the input and output are language.
Predictive and visual models
Scores, forecasts, and inspection when the signal is in tables, events, or images rather than chat.
Workflow automation
Repeatable hand-offs across systems when the value is cycle time, not a new model.
Conversation products
A bot or assistant with channels, policy, and human hand-off, not a generic widget.
Book a Sydney AI scoping call
Bring the problem, the data you can share, and the systems it must talk to. We will reply in Australian hours, by form submission or a booked meeting.
Process
How an AI engagement runs
The sequence stays the same whether the first release is a retrieval feature, a scoring model, or a governed assistant. What changes is how much we prove before anything is called production.
01
Problem and data
We capture the workflow, who is harmed if the output is wrong, what data you can use, and which systems are the source of truth.
02
Approach
We recommend a language-model feature, a classical model, automation, or a conversation product, or we say AI is the wrong spend.
03
Integration map
We define APIs, identity, and where results are written back so the feature is not a sidecar nobody operates.
04
Build
We implement the thinnest slice that can be evaluated, with review and the logging you will need after launch.
05
Evaluation
We test against the metrics agreed in discovery, including failure and hand-off paths, before we call it ready.
06
Release
We deploy into your environment with access control, monitoring, and a rollback so go-live is controlled.
07
Run
We stay on for drift, change requests, and the next slice of the roadmap.
You get regular progress you can inspect. If the first conversation is only an LLM, a model, automation, or a bot, start on that sibling page, this URL still owns the broader AI development engagement.
Cost
What drives AI development cost and timeline
We do not publish a fixed project price. The estimate follows the work: data readiness, which approach you need, how deep the integrations go, and how much you need after launch.
- Problem and scope: one workflow versus several, and how many must ship in version one
- Data: quality, access, labelling, and whether a governed source already exists
- Approach: language-model feature, classical model, automation path, or conversation product
- Integrations: identity, CRM, ERP, document stores, and the quality of the APIs we meet
- Assurance: evaluation sets, privacy review, monitoring, and human hand-off
- Team and model: project delivery versus embedded specialists, and Australian-hours collaboration
- Run cost: hosting, model or prompt change, and the first months of operational change
After a short discovery conversation we can outline a first milestone and the factors that would move cost or date. Use the form below or book a call. We will not invent a number before the scope is clear.
Working with us
What is actually different in Sydney
The engineering model is the same as the national page. The difference is a real office, a local commercial conversation, and a clear owner URL so this page does not compete as a second Australia-wide company page.
Verified Sydney presence
Meet or write to us at 60 Martin Place, Sydney, NSW 2000. We will not invent other Australian offices on city pages.
National service still owns Australia-wide intent
Broad “AI development company in Australia” demand belongs on the national service page. Use this page when the buyer is in Sydney or wants the office in the conversation.
Approach before a stack pitch
Language-model features, classical models, automation, or a conversation product, decided against the workflow and the data, not a default tool.
Two ways to start
Submit the contact form for a written brief, or book a Calendly meeting from the band on this page. Both are how engagements start.
AI work we can show
Browse all Case Studies →-
- Real Estate
- Document Processing
- AI-Powered Assistants
- Angular
Reviews & Testimonials
Reviews from delivered engagements
Clutch Review
Locations
AI development in other Australian cities
Sydney is the office. The links below are for teams in those cities, they are not additional Dev House Australia offices. Australia-wide commercial intent stays on the national service page.
Sydney AI development questions
Q: Where is your Sydney office?
Dev House Australia’s Australian office is 60 Martin Place, Sydney, NSW 2000. Call +61 2 9188 9477 or use the contact form on this page.
Q: Should I use this page or the national AI development page?
Use this page if you are a Sydney team or you want to deal with the Sydney office. Use the national AI development page if you are comparing bids Australia-wide or you are not tied to a city. Both can start a form submission or a meeting.
Q: Do we have to visit Martin Place to start?
No. Most discovery is remote in Australian business hours. The office is for teams who want a local presence, not a requirement before we look at scope.
Q: Do you only build for Sydney companies?
No. We work with organisations across Australia. Sydney is where the office is. Other city pages on this site are for local context, not extra offices.
Q: What AI work do you take on from Sydney?
Production AI in existing systems, the same offer as the national page. Language-model, machine-learning, automation, and chatbot work still sit on those service pages. We do not compete as a cheap chatbot shop, and we do not publish a catalogue price before the scope is clear.
Q: How do we start a Sydney AI project?
Send the problem, the users, the data you can share, and the systems it must talk to via the contact page, or book the meeting from this page. We will recommend an approach and outline the first milestone.
Get in touch
Tell us about your project and we will respond from our Sydney team, usually within one to two business days. * indicates a required field.
