South Melbourne
AI application development and machine learning in Australia.
Appoly builds AI applications and machine learning pipelines in Australia from South Melbourne. A senior team does the work, and delivery is human-led and AI-accelerated. We wire agents, RAG, generative AI, and these pipelines into the products you already run.
Why Appoly
How we scope AI and machine learning work.
Measurable ROI
Each engagement is scoped to hours saved or errors caught. You can take those numbers to the next board meeting.
Built for production
We include evaluation, monitoring, governance, and rollback from the start.
Human-in-the-loop
Agents augment your team. Escalation, approvals, and audit trails show what the agent did.
Privacy Act and residency
From day one, the plan covers the Privacy Act, the Australian Privacy Principles, data residency, and sector-specific requirements.
AI services
Advisory work and production agents.
Eight services. Pick the one closest to where you are, and we will help you sequence the rest.
AI Agent Development in Australia
AI agent development services for Australian organisations, built in South Melbourne for agents and AI applications that plan, act, and sit inside real workflows.
MCP Server Development
Custom Model Context Protocol servers that give AI assistants and agents secure, governed access to your data and systems.
AI Agent Governance & Security
Guardrails, audit trails, permission frameworks, and security controls. The work that makes AI agents safe to deploy in regulated and enterprise environments.
AI Integration
Embed intelligent capabilities into the iOS, Android, and web products your customers already use.
AI Enablement in Australia
AI enablement services for Australian organisations, built in South Melbourne for AI enablement consulting, from a half-day audit to a board-ready roadmap.
Retrieval-Augmented Generation (RAG)
AI that answers from your documents, your data, and your context. Not from what a foundation model happened to learn on the public internet.
AI for Customer Service
Context-aware support systems that resolve more tickets first-time. Integrated with your knowledge base, CRM, and human team.
Legacy to AI-Native Migration
Wrap and extend existing systems with intelligent interfaces, or modernise them outright. Without the big-bang rewrite.
In production
Recent AI and machine learning work.
The specification document pipeline and the AIM Housing operations platform.
AI-Powered Valve Specification Extraction
An AI and ML pipeline that turns thousands of unstructured valve specification documents into searchable, structured data. Seconds, not days.
AIM Housing
A multi-platform housing operations system. AI-assisted decisioning and modern DevOps brought to a previously paper-driven workflow.
FAQs
Questions about AI and machine learning.
Do we need to have our data sorted before we start?
No. Most clients arrive with messy data, and the first engagement usually includes making that data usable.
Which models do you use?
Claude, GPT, Gemini, and open-source models. We pick per use case based on capability, cost, latency, and data residency. We are model-agnostic by default.
How do you handle privacy and IP?
No client data is used for model training without explicit consent. Where the work requires it, data stays in Australia. We prefer providers with a strong privacy posture, and we will walk you through the trade-offs.
What does a first engagement look like?
A 4 to 6 week proof-of-value. One workflow, one team, one measurable outcome. We build it with your team, and the engagement ends with a go/no-go on production rollout.
Do you build machine learning pipelines on documents?
Yes. One system in production reads unstructured specification documents and returns structured records with cited source snippets, so anomalies can be reviewed. That pipeline is being extended to adjacent document types.
Talk to a senior AI specialist.
A 20-minute discovery call about what AI and machine learning can and can't do for your business right now.
Book an AI Discovery Call