Perth's resources, engineering, and professional services sectors generate enormous volumes of specialised data. Fine-tuned AI models trained on that data outperform generic models by margins that matter — in accuracy, consistency, and the specificity that makes AI actually useful for technical work.
Book a DemoPerth businesses search for this under plenty of different names — LLM fine-tuning, custom LLM development, AI model fine-tuning, LLM development, generative AI. Whether you're comparing OpenAI fine-tuning providers, custom AI models, AI training services, or enterprise AI solutions, they're all chasing the same outcome: a model that actually understands your business, not a generic chatbot with your logo on it.
LLM fine-tuning takes a powerful pre-trained language model and further trains it on your own business data — your documents, your industry's terminology, your internal processes and standards. The base model's broad capabilities remain. What's added is deep, reliable expertise in your specific domain.
For Perth businesses in resources, engineering, legal, and healthcare — sectors with highly specialised language and precise technical requirements — this distinction matters enormously. A generic AI model knows what a mining lease is. A fine-tuned model trained on WA resources sector documentation knows your specific lease conditions, the relevant DMIRS reporting requirements, and the exact terminology your operations team uses.
That level of specificity is the difference between AI that's interesting to demo and AI that's genuinely useful in production.
We fine-tune GPT-4o and GPT-4o mini on your Perth business data — structured documents, domain-specific Q&A pairs, classification tasks, and extraction workflows. Fast, effective, and well-suited to Perth businesses with clean labelled datasets and clear task requirements.
We fine-tune Llama 3, Mistral, and Gemma models for Perth businesses that require on-premises deployment, have sensitive operational data, or need to control infrastructure costs at scale. Your data stays within your Perth facility or WA cloud infrastructure throughout.
For Perth enterprises with unique operational requirements that off-the-shelf fine-tuning can't address, we build custom model architectures trained on your proprietary data from the ground up — designed specifically for your workflows and your infrastructure.
We build complete AI products powered by fine-tuned models — technical documentation generators, compliance report drafters, internal knowledge systems, and operational AI tools built specifically for Perth's industries.
Comprehensive AI training services including data preparation, model selection consultation, fine-tuning execution, evaluation, and production deployment — all delivered as a managed service so your Perth team doesn't need in-house ML expertise.
End-to-end enterprise AI engagements for Perth's major businesses in resources, construction, and professional services — covering strategy, infrastructure, model development, integration, and ongoing management as a complete service.
We review your Perth business's AI use case, assess your available training data, and advise on the model selection and fine-tuning approach that makes the most sense for your specific requirements.
Perth industry data — from technical reports to compliance documents — requires careful preparation for training. We clean, structure, and label your data to fine-tuning standards, handling the specifics of WA regulatory document formats.
We run the fine-tuning process with continuous validation monitoring, evaluate performance against benchmarks drawn from your real Perth business scenarios, and iterate until the model meets your accuracy requirements.
We deploy to your specified infrastructure — whether that's cloud-hosted, private server, or on-premises within your Perth facility — and provide ongoing maintenance, monitoring, and periodic retraining as your data evolves.
WA's resources sector has deeply specialised language — DMIRS reporting, environmental impact assessments, geotechnical reports, and operational safety documentation. Fine-tuned models trained on this corpus handle it with an accuracy generic models can't match.
DMIRS reporting → environmental compliance → safety docs → operational reporting
Perth's engineering sector produces technical specifications, standards compliance documents, and project reports that require precise, consistent language. Fine-tuned models produce technical writing that meets Australian Standards requirements reliably.
Specifications → compliance → tender generation → project reporting
WA legal language — Strata Titles Act, Mining Act, Land Administration Act, and WA-specific regulatory frameworks — requires jurisdiction-specific expertise. Fine-tuned legal models produce WA-compliant outputs that generic models simply cannot.
WA legislation → contract drafting → compliance checking → submission prep
WA Health services generate clinical documentation, discharge summaries, and regulatory submissions that require precise clinical language. Fine-tuned healthcare models handle the terminology, coding systems, and WA Health compliance requirements accurately.
Clinical notes → coding → WA Health reporting → discharge summaries
WA's agricultural sector has highly specific language around commodity trading, biosecurity compliance, and supply chain documentation. Fine-tuned models trained on WA agribusiness data handle these tasks with sector-specific accuracy.
Biosecurity compliance → commodity docs → supply chain → export certification
WA's universities and research institutions produce specialised academic and scientific content. Fine-tuned models trained on domain research accelerate literature review, grant writing, and research documentation without compromising academic standards.
Literature review → grant writing → research synthesis → publication prep
Perth's resources and engineering sectors operate in a highly specialised regulatory and technical environment — WA Mining Act requirements, DMIRS reporting standards, AS/NZS engineering standards, and resource-specific terminology that generic AI models don't handle reliably. Fine-tuning trains a model specifically on this domain knowledge, producing outputs that are accurate, compliant, and consistent with WA regulatory requirements — rather than generic outputs that require extensive human correction.
No. For Perth businesses — particularly in resources, defence, and regulated industries — we offer fully on-premises fine-tuning using open-source models. Your operational data never leaves your Perth facility or WA-based infrastructure at any stage. The fine-tuned model is deployed on your own servers and accessed internally. This is the standard approach for Perth businesses with sensitive or commercially sensitive operational data.
For focused technical tasks — report generation, compliance checking, specification review — you typically need 2,000–10,000 high-quality training examples, depending on the complexity of the task. Perth resources companies often have years of reports, submissions, and technical documents that serve as excellent training data. We assess your available data in our initial consultation and advise on realistic requirements.
For a targeted fine-tuning project using a mid-size open-source model — suitable for most Perth resources sector report generation and compliance tasks — costs typically range from $8,000 to $25,000 for a production-ready deployment. Enterprise-scale projects with large proprietary datasets and custom infrastructure requirements range from $40,000 to $120,000+. We provide detailed scoping estimates after a free technical consultation.
A focused fine-tuning project with clean, accessible data typically takes 14–21 days from data handover to production deployment. Projects requiring significant data preparation — common when working with legacy resource sector documentation in mixed formats — take 4–8 weeks. We set realistic timelines in our initial scoping review and flag any variables that could affect them.
Fine-tuned models don't automatically update when regulations change. For regulatory content that updates frequently — like WA environmental standards or DMIRS reporting requirements — we use a hybrid approach: the fine-tuned model handles consistent domain language and formatting, while a RAG layer handles the most current regulatory content that may have changed since training. We build this architecture into every regulatory compliance deployment.
We work with Perth businesses across the CBD and major industry precincts — West Perth, Subiaco, the Osborne Park industrial corridor, and Fremantle. For resources sector engagements, we work directly with site-based teams in the Pilbara, Goldfields, and South West WA. Our team understands WA's regulatory environment, operating conditions, and the specific requirements of industries that are unique to Western Australia.
Join the forward-thinking Perth companies scaling with AI Squad's intelligent ecosystem.
Get Started Now