10 Best AI Development Companies in Australia (2026)

Australian companies moved from AI pilots to production systems through 2025 and 2026, and the supplier market moved with them. The big cloud consultancies built AI practices, AWS and Microsoft partners added agentic delivery, and a new group of AI-native consultancies appeared in Sydney and Melbourne. Search "AI agency Australia" and you get all of them on one page, from 900-person consultancies to app studios that added a ChatGPT integration to their menu.

The labels hide big differences. Some firms are cloud partners first, so your agent will be built on the hyperscaler they resell. Some are app studios, strong on interface and weak on evals. A few build agents for regulated banks and insurers every week. And because Australian rates are high, many "Australian" agencies quote local prices while delivering offshore. The questions that matter, whether the team has shipped agents to production, how it handles the Privacy Act, and who actually writes the code, need asking directly.

This guide compares the 10 best AI development companies in Australia in 2026. Real services, honest pricing where it is publicly known, pros and cons, and a framework to pick the right AI partner.

Disclosure: AY Automate publishes this guide and ranks itself first, because one senior team ships Claude-native agents end to end, evals included. AY Automate is not based in Australia and works remotely, with limited overlap with Australian business hours. If an Australian entity, onshore staff or same-day stand-ups are hard requirements, start your shortlist at #2.

Best AI development companies in Australia: a brief overview

• AY Automate: Best overall for agentic systems and Claude-native builds: ships production AI agents with Claude Code, the Claude Agent SDK, LangGraph and RAG pipelines.
• Mantel: Best for enterprise AI at scale: Australia-founded technology and AI consultancy with partners including AWS, Google Cloud, Microsoft, OpenAI and Anthropic.
• V2 AI: Best for AI in regulated industries: APAC AI-native consultancy focused on financial services, energy and retail.
• Cevo: Best for AI on AWS: AWS Premier Consulting Partner with an AI and agentic systems practice.
• Arinco: Best for AI on Microsoft: Microsoft-focused partner for AI transformation and intelligent apps.
• DiUS: Best for intelligent products and IoT: product engineering consultancy combining design, data, AI and hardware.
• Kablamo: Best for cloud software with applied AI: Sydney technology consultancy for enterprise clients.
• Thoughtworks Australia: Best for AI-assisted software delivery: global technology consultancy with Australian offices.
• Elegant Media: Best for AI features in mobile apps: Melbourne app studio founded in 2010.
• Datarock: Best for AI in mining and exploration: explainable AI for geology and drill-core data.

1. AY Automate, best for Claude-native agentic AI systems

AY Automate is an AI agent development studio that builds production agentic systems for B2B teams. The team specializes in Claude Code, the Claude Agent SDK, LangGraph orchestration and retrieval-augmented generation pipelines. It runs senior-only engagements focused on shipping the agent, the evals and the observability stack, not on selling a large team.

For Australian buyers, the honest trade-off is time zone. AY Automate works remotely, so stand-ups land early morning or late afternoon in Sydney, and most of the build is asynchronous. What you get in return is a small senior team that does nothing but production agents, at a cost that compares well with onshore rates. Typical builds include customer-support agents, internal copilots over private data, and automation that replaces brittle Zapier chains. Its custom AI development company page shows how a build is scoped and tested on real examples.

Key features

• Claude Code and Claude Agent SDK delivery: tool use, sub-agents and skills
• LangGraph and CrewAI orchestration for multi-step workflows
• RAG pipelines with hybrid retrieval
• Eval harnesses and observability in every build
• Delivery in English, French and Arabic

Best for

• Scale-ups and SaaS companies that want one production agent shipped in weeks
• Teams comfortable with asynchronous, remote delivery

Pricing

• Custom engagements scoped by outcome
• No public hourly rate sheet

Pros

• Production experience with the Claude Agent SDK
• Senior engineers only, no offshore pyramid
• Evals and observability planned before code

Cons

• Limited overlap with Australian business hours
• No Australian entity for government panels

Scope and process for an agent build are on our AI agent development services page. For automation around the agent, see AI automation agency services.

2. Mantel, best for enterprise AI at scale

Mantel (formerly Mantel Group) is an Australian technology and AI consultancy. Its site describes it as "Australia's leading technology and AI consultancy" with more than 900 specialists across AI, data, cloud, digital and cyber security, and names clients including REA, MYOB, Lendi and Origin. Its partner list includes AWS, Google Cloud, Microsoft, Databricks, Snowflake, OpenAI and Anthropic, and it runs the AI Australia podcast.

Mantel is a safe choice for large organisations that want one consultancy to run strategy, data platforms and AI delivery across several clouds.

Key features

• AI, data, cloud, digital and security practices
• Partnerships across major clouds and model providers
• Industry teams for banking, health, insurance, public sector and retail

Best for

• Large enterprises and government agencies
• Multi-cloud data and AI programs

Pricing

• Not published

Pros

• Scale and local presence across Australia and New Zealand
• Broad partner ecosystem, including Anthropic

Cons

• Large-consultancy pricing
• Less suited to a small, fast pilot

Website: mantelgroup.com.au

3. V2 AI, best for AI in regulated industries

V2 AI calls itself an "APAC AI-native consultancy" that helps organisations move from strategy to execution. Its services cover AI strategy and governance, AI literacy and enablement, AI build and assurance, and AI and data security. It lists alliances with Anthropic, Databricks, AWS, Google Cloud and Microsoft, and focuses on financial services, energy and utilities, retail and resources.

V2 AI suits heavily regulated enterprises that need governance and assurance as much as code, and want agents built with that in mind.

Key features

• AI strategy, governance and assurance
• AI build, including agents
• AI and data security

Best for

• Banks, insurers, energy and utilities
• Programs where governance is a launch condition

Pricing

• Not published

Pros

• AI-native focus rather than a general IT shop
• Strong governance and assurance offer

Cons

• Enterprise focus; small companies may find it heavy
• Fewer public case studies than the largest consultancies

Website: v2.ai

4. Cevo, best for AI on AWS

Cevo is an AWS Premier Consulting Partner with offices in Melbourne and Sydney. Its services are AI and agentic systems, data intelligence, intelligent modernisation and cloud evolution, and it lists AWS, Anthropic and Databricks as partners. It works across financial services, retail, energy, ISVs, government and education.

Cevo is a natural fit when your data and workloads already live on AWS and you want agents built on Amazon Bedrock and the wider AWS stack.

Key features

• AI and agentic systems on AWS
• Data platforms and modernisation
• Cloud migration and operations

Best for

• AWS-first organisations
• ISVs adding AI to products hosted on AWS

Pricing

• Not published

Pros

• Deep AWS expertise and Premier status
• Anthropic partnership for Claude-based builds

Cons

• AWS-centric; less fit for Azure or GCP shops
• Consultancy rates

Website: cevo.com.au

5. Arinco, best for AI on Microsoft

Arinco is a Microsoft partner with offices in Melbourne, Sydney and Brisbane. It positions itself as a "Frontier Partner for AI on Microsoft", with capabilities in AI transformation, intelligent apps, intelligent data and platforms, modern work and security, and it mentions "agentic delivery". It serves education, financial services, government, healthcare, professional services, retail and utilities.

Arinco suits organisations standardised on Microsoft 365 and Azure that want Copilot, Azure AI and custom agents delivered by one Microsoft specialist.

Key features

• AI transformation on Azure and Microsoft 365
• Intelligent apps and data platforms
• Security and modern work

Best for

• Microsoft-first organisations
• Copilot rollouts plus custom agents

Pricing

• Not published

Pros

• Focused Microsoft expertise
• Offices in three east coast cities

Cons

• Microsoft-centric
• Less fit for multi-model or AWS-based builds

Website: arinco.com.au

6. DiUS, best for intelligent products and IoT

DiUS is an Australian product engineering consultancy with offices in Melbourne and Sydney. Its work combines design, engineering, data, AI and IoT to "build intelligent products", and it has an "AI-assisted delivery" practice. It serves financial services and insurance, retail and e-commerce, mining and energy, and media.

DiUS is a strong option when the AI feature is part of a new product, sometimes with hardware or sensors, and you want design and engineering from the same team.

Key features

• Product design and engineering with AI
• Data and AI activation
• IoT and hardware

Best for

• New digital products with AI inside
• Industrial and IoT use cases

Pricing

• Not published

Pros

• Product mindset with design and engineering together
• Hardware and IoT capability is rare among AI firms

Cons

• Not a pure AI agent specialist
• Consultancy rates

Website: dius.com.au

7. Kablamo, best for cloud software with applied AI

Kablamo is a Sydney technology consultancy that delivers cloud software, data and AI, human-centred design and technology transformation for enterprise clients. Its site mentions Firestory, used daily by 80,000 firefighters, and a 6 PB migration for the ABC. It publishes an "Applied AI" blog and a tech radar.

Kablamo fits enterprises that need dependable cloud software and want AI built into it by engineers who also run critical systems.

Key features

• Cloud software engineering
• Data and applied AI
• Human-centred design

Best for

• Enterprises with mission-critical systems
• Media, emergency services and public sector

Pricing

• Not published

Pros

• Strong engineering reputation
• Experience with high-availability systems

Cons

• AI is one capability among several
• Enterprise focus

Website: kablamo.com.au

8. Thoughtworks Australia, best for AI-assisted software delivery

Thoughtworks is a global technology consultancy with offices in Sydney, Melbourne and Brisbane. It is known for engineering practices, its Technology Radar, and work on AI-assisted software development and AI in the delivery lifecycle. Its Australian teams work with banks, retailers, government and large enterprises on platform and product engineering.

Thoughtworks fits organisations that want AI built into how software is delivered, not only a single AI feature.

Key features

• Product and platform engineering
• AI-assisted software delivery
• Data and AI strategy

Best for

• Enterprises modernising engineering with AI
• Large product and platform programs

Pricing

• Not published

Pros

• Strong engineering culture and thought leadership
• Global bench with local teams

Cons

• Premium pricing
• Heavy for small builds

Website: thoughtworks.com/en-au

9. Elegant Media, best for AI features in mobile apps

Elegant Media is a Melbourne app development company founded in 2010. Its services include iPhone, Android and cross-platform apps, plus artificial intelligence development, computer vision apps and ChatGPT app development. It works with startups and enterprises across agriculture, fitness, travel, mining and government.

Elegant Media suits buyers whose AI feature lives inside a mobile app and who want an Australian studio for the whole product.

Key features

• Mobile and web app development
• AI, computer vision and ChatGPT integrations
• App marketing and design

Best for

• Startups and SMEs building apps
• Consumer and field-worker apps with AI features

Pricing

• Not published

Pros

• Long track record in Australian app development
• One team for app and AI

Cons

• AI is a feature layer, not the core specialism
• Ranks itself first in its own AI company list, so check references

Website: elegantmedia.com.au

10. Datarock, best for AI in mining and exploration

Datarock builds "production-ready, explainable AI" for geoscience: automated drill-core logging, chip analysis, prospectivity modelling, structure and geotechnical analysis, and mineralogy modelling. It integrates with existing geology software and databases.

Datarock is a specialist pick. If your AI problem is in exploration or mining, a domain product will usually beat a general agency.

Key features

• Automated core and chip logging
• Prospectivity and property prediction
• Integration with geology software

Best for

• Mining and exploration companies
• Geology teams with large image archives

Pricing

• Subscription products

Pros

• Deep domain focus
• Explainable models for technical users

Cons

• Mining-only
• Product, not a general development partner

Website: datarock.com.au

How to choose the best AI development company in Australia

1) Privacy Act, APPs and where data goes

The Privacy Act 1988 and the 13 Australian Privacy Principles apply to most businesses with turnover above A$3 million and to all health service providers. APP 8 makes you accountable when personal information goes offshore, and the 2024 amendments add transparency duties for automated decisions that significantly affect people. Ask each vendor which cloud region hosts the model and the vector store, whether prompts and logs leave Australia, and how they meet APRA CPS 234 if you are a regulated financial entity.

2) Cloud partner or model-agnostic builder?

Cevo is AWS-first and Arinco is Microsoft-first. That is a strength if you are committed to that cloud, and a constraint if you want to choose models freely. Mantel and V2 AI work across several clouds. A specialist like AY Automate builds on the Claude Agent SDK and LangGraph and can deploy into the cloud you already use.

3) Production agents, not demos

Ask for one agent the vendor runs in production today, how they evaluate it, and what their observability shows when it fails. Australia's Voluntary AI Safety Standard (2024) sets out guardrails for testing, transparency and human oversight; a good partner will map your build to it without being asked. See hire remote AI developers guide for the hiring checklist.

4) Onshore team or remote delivery?

Australian AI consultancies are expensive. Vendor guides put senior agency rates at about A$150 to A$250 per hour (Flowtivity), with boutique AI firms at A$250 to A$400 and the largest consultancies higher (Team 400). One guide warns that quotes under A$80 per hour almost always mean offshore delivery. Remote specialists and offshore teams cost less but trade away time-zone overlap. Compare with the best AI development companies in India or in Singapore for nearer-time-zone options.

Questions to ask an AI development company in Australia before you sign

Australian buyers pay some of the highest consulting rates in the world, so the cost of a wrong choice is high. These questions separate firms that ship production agents from firms that sell workshops.

1. Who will actually write the code, and where are they? Many agencies quote onshore rates and deliver offshore. That can be fine, but you should know, and it affects APP 8 obligations if personal information is involved.
2. Which agent you built is in production today? Ask for one live system, its users and one metric it moved. A proof of concept is not a reference.
3. How do you evaluate the agent before and after launch? Look for an evaluation set built from your own data, a pass threshold agreed upfront and regression tests when prompts or models change.
4. Which cloud region and which model provider? Confirm the region (for example Sydney or Melbourne), whether prompts are retained by the model provider, and how data is deleted.
5. How does the build map to the Voluntary AI Safety Standard? A good partner can show testing, transparency, human oversight and record-keeping without you writing the checklist.
6. What does it cost to run? Ask for monthly model, hosting and monitoring costs at your expected volume, in Australian dollars.
7. Who owns the IP? You want the repository, prompts, evaluation suite and documentation in your hands at the end.
8. What is the handover plan? Agree on training, documentation and a support period so your team can run and change the agent.

If you are APRA-regulated, add a ninth question: how does the vendor meet CPS 234 for information security and CPS 230 for operational risk and service providers? The answer tells you quickly whether a vendor has worked with banks and insurers before.

A short pilot with a clear success metric, for example "resolve 30% of tier-one support tickets with an accuracy above an agreed threshold", is a better start than a large discovery phase. It forces both sides to define what working means.

Building an AI agent? Where to start

If you are building an AI agent, copilot or LLM-powered product feature in Australia and want a senior team shipping on Claude Code, the Claude Agent SDK and LangGraph, AY Automate is built for that work. We run small senior engagements, write the evals and observability plan before the first line of code, and work asynchronously across time zones. Start with AI agent development, read how a custom AI development company build is scoped, and when you are ready, book a consultation.

More agency guides

Comparing a different kind of partner? These guides use the same ranking method and disclosure.

• Best AI development companies in Singapore for APAC partners in a close time zone
• Best AI development companies in India for cost-effective offshore delivery
• Best AI development companies in the USA for US-based delivery
• Best AI development companies in the UK for UK-based teams
• Best AI automation agencies for workflow automation partners
• Best AI agent development agencies for production agents with evals and tool use
• Best enterprise AI agent development companies for governed agent programs

FAQ

Which is the best AI development company in Australia? For enterprise programs across several clouds, Mantel. For regulated industries with strong governance, V2 AI. For AWS-first teams, Cevo, and for Microsoft-first teams, Arinco. For a single production AI agent shipped fast by a senior team, AY Automate is our pick (we publish this list, see the disclosure above). The right answer depends on your cloud, your regulator and the size of the program.

What are the top AI agencies in Sydney and Melbourne? Kablamo is Sydney-based. Cevo, Arinco and DiUS have offices in both Melbourne and Sydney, and Elegant Media is in Melbourne. Mantel and Thoughtworks have teams in both cities.

How much does AI development cost in Australia in 2026? Vendor guides put senior Australian agency rates at about A$150 to A$250 per hour and boutique AI consultancies at A$250 to A$400, with the largest firms higher. A proof of concept is often quoted at A$20,000 to A$50,000. Specialists like AY Automate scope by outcome rather than hourly.

Australia-based or offshore AI development company? Choose an Australian firm when you need same-hours collaboration, onshore data handling, a government panel listing or an APRA-regulated vendor. Choose a remote or offshore team when the scope is clear and budget matters more than overlap. Check APP 8 obligations before any personal data leaves Australia.

Does the Privacy Act apply to AI projects? Yes. Using personal information to train, prompt or ground an AI system is a use or disclosure under the Privacy Act. The OAIC has published guidance on privacy and generative AI, and the 2024 amendments add automated decision transparency requirements.

Which Australian AI consultancies partner with Anthropic? On their own sites, Mantel, V2 AI and Cevo list Anthropic as a partner. AY Automate builds on the Claude Agent SDK and Claude Code.

How long does an AI agent project take in Australia? A focused agent or copilot usually ships in 4 to 12 weeks. Enterprise programs with governance reviews and security assessments often run 6 to 12 months.

Is there a government standard for AI in Australia? The Voluntary AI Safety Standard (2024) sets out ten guardrails, and federal agencies follow the Policy for the responsible use of AI in government. Neither is a law for private companies yet, but buyers increasingly ask vendors to align with them.

Can an AI development company in Australia train our team? Yes. Most firms here offer enablement. AY Automate runs senior-led builds with a structured handover so your team owns the agent after launch.