Private vector retrieval
Secure vector databases deployed on your infrastructure, with embeddings tuned to your domain vocabulary and access controls mapped to your existing identity model. Retrieval quality is measured, not assumed.
AI Data
Enterprise RAG & Secure LLM Architecture
Frontier AI capability without offshore risk: we engineer retrieval and generation systems where every record stays on Australian soil and answers to Australian privacy law.
Overview
Australian organisations are under real pressure to adopt AI, and under equally real obligations to protect the data that would feed it. Customer records, health information, and financial histories carry duties under the Privacy Act 1988 and the Australian Privacy Principles that do not pause because a vendor's model is impressive. Lexylon's position is simple: your data stays in Australia, full stop.
Our enterprise AI consulting practice designs and deploys retrieval augmented generation (RAG) systems and private LLM pipelines as a data-secure AI transformation, on infrastructure you control, on premise or in Australian cloud regions: document ingestion and chunking over your existing systems, vector retrieval tuned to your domain language, guardrailed generation with citations back to source, and evaluation harnesses that prove accuracy before anything reaches a user. And because Lexylon also modernises the systems this data lives in, from IBM i cores to warehouse platforms, retrieval is grounded in live enterprise sources rather than exported snapshots.
Compliance is designed in, not reviewed in. We build to the Australian Government's AI Ethics Principles and the Voluntary AI Safety Standard, and engineer for the cross-border rules in APP 8: personal information is minimised before it ever reaches a model, PII is redacted or tokenised in retrieval, and every generation is logged. No prompt, document, or record is sent to overseas hosted models. Where frontier models add value, we consume them through Australian region endpoints or run open weight models entirely inside your boundary.
Aged care is where this discipline matters most, and it is a sector we actively help. Providers hold some of the most sensitive personal information in the country, from resident health records to daily care notes, and they are modernising under close regulatory watch. We bring Responsible AI into the systems aged care operators already run, and pair it with native iOS and Android digital assistants that let on-the-floor care staff look up, record, and act in seconds rather than minutes, lifting day-to-day productivity without moving a single record offshore.
The proof
Architecture & tech stack
Local fine-tuning on Apple MLX
Open weight models fine-tuned locally on Apple silicon with MLX, so training data never leaves the building. The result is a model that speaks your terminology at a fraction of frontier inference cost.
Guardrailed generation
Every answer is grounded in retrieved context and cited back to its source documents. Out of corpus questions are refused rather than improvised, which is what makes the system trustworthy in front of an auditor.
Ingestion over live systems
Typed connectors into DB2, ERPs, and document stores with incremental sync, so the corpus tracks the business instead of drifting behind it.
Evaluation harnesses
Groundedness and accuracy measured against your own corpus before launch, and continuously after it. Regressions surface in a dashboard, not in a complaint.
Privacy-first AI in native mobile apps
Advanced iOS and Android applications use on-device AI, running compact models on the handset so everyday queries never leave it. Longer and heavier requests route to your private cloud in an Australian region, with the same guardrails and logging as the rest of the stack.
Sovereign by design
Australian data never has to leave Australia
Trust is the currency of enterprise AI, and it is earned in the architecture, not the brochure. Every Lexylon AI engagement is designed so that client data, and their customers' data, remains inside Australian jurisdiction and under Australian law.
Australian data residency, end to end
Training, retrieval, and inference run on your own hardware or in Australian cloud regions such as Sydney and Melbourne. Nothing is shipped to overseas hosted models, and nothing depends on a foreign processing agreement.
PII treated as a liability, not a fuel
Personal information is stripped back to what a model genuinely needs, masked wherever it flows through retrieval, and never used to train shared models. Every access is logged, so your privacy officer gets evidence rather than assurances.
Aligned with Australian Government AI guidance
We build to the AI Ethics Principles and the Voluntary AI Safety Standard published by the Australian Government, and engineer for Privacy Act and APP obligations from the first design session, not the compliance review.
Execution methodology
01
Data and boundary audit
We map knowledge sources, security boundaries, and the workflows where AI creates measurable value. Data classification decides the deployment shape: on premise, private cloud, or hybrid.
02
Pipeline build as code
Ingestion, embedding, retrieval, and generation assembled on infrastructure provisioned with Terraform, on AWS or your own hardware. Every environment is reproducible from source control.
03
Hardened rollout
Observability, audit logging, and load testing before production traffic, with Cloudflare fronting any internet facing surface. Accuracy reporting continues after launch.
What you get
- Custom RAG architecture on your infrastructure
- Private LLM deployment (on premise or private cloud)
- Local fine-tuning pipelines on Apple MLX
- Document ingestion & vector retrieval pipelines
- Evaluation harnesses & accuracy reporting
- Internal copilots, AI reporting & forecasting on your data
Tools & platforms
- Open-weight LLMs
- Apple MLX
- Vector databases
- Claude & frontier APIs
- Python / Node.js
- Terraform / on-prem GPU
FAQ
Sovereign AI questions we hear most
Does our data leave Australia?
No. Retrieval, storage, and inference run on your infrastructure or in Australian cloud regions. We do not send prompts, documents, or personal information to overseas hosted models.
How do you handle PII in a RAG pipeline?
Personal information is minimised before ingestion, redacted or tokenised in retrieval, and excluded from any model training. Every query and generation is logged, so access to sensitive records is always auditable.
Do you follow the Australian Government's AI guidance?
Yes. Our architectures are built to the AI Ethics Principles and the Voluntary AI Safety Standard, and engineered for Privacy Act 1988 and Australian Privacy Principles obligations, including the cross-border rules in APP 8.
Can we still use frontier models like Claude or GPT?
Yes, when policy allows. We consume frontier models through Australian region endpoints, or run open weight models entirely inside your boundary when data cannot leave at all.
Do you work with aged care providers?
Yes. We help Australian aged care operators bring Responsible AI into their existing systems and give floor staff native mobile digital assistants for daily work. Resident records and care data stay onshore, handled to Privacy Act obligations, and nothing is used to train shared models.
Engagement models
Three ways to engage, one transparent cost structure
AI platforms usually begin as a fixed discovery module and grow into a dedicated team as the roadmap proves itself.
Dedicated team
A stable squad of Lexylon engineers reserved for your roadmap, month after month. Predictable capacity, a predictable invoice, and a team that compounds knowledge of your business.
Time and materials
Pay only for the hours worked, at some of the most competitive rates in the Australian market. Ideal when scope moves, with timesheets you can read and question line by line.
Project or module based
A fixed price built up from an honest effort estimate in hours, module by module. You see exactly how the number was reached before you sign, and it does not move unless the scope does.
Contact
Ready to build AI your business can trust?
Your first discovery session is free. Tell us about your platform, your constraints, and where it hurts; we analyse the problem and come back with a proposed solution, no obligation.
Or email us directly at hello@lexylon.com