Healthcare & Medical
Clinical note summarisation, ICD coding, drug interaction queries — tuned to your clinical language.
LLM Fine-Tuning
Domain-specific models trained on your data
Fine-tuned LLMs that outperform generic models on your tasks — lower latency, lower cost and better accuracy for your specific domain.
Lower costVs GPT-4 API calls
Higher accuracyOn domain tasks
Your dataStays private
What We Do
Fine-tuning for every use case
Legal
Contract analysis, clause extraction, jurisdiction-specific advice — tuned to your practice area.
Finance
Earnings analysis, risk scoring, regulatory Q&A — tuned to your data and compliance requirements.
Manufacturing
Technical documentation, fault diagnosis, parts lookup — tuned to your product knowledge base.
Education
Tutoring, assessment generation, curriculum-aligned responses — tuned to your learning framework.
eCommerce
Product descriptions, customer query handling, returns processing — tuned to your catalogue.
Our Process
From data to production model
1
Data Audit
Review your training data — quality, coverage, bias and gaps identified before training.
2
Base Model Selection
Llama, Mistral, Qwen or proprietary — selected for your task, size and deployment constraints.
3
Fine-Tuning
LoRA, QLoRA or full fine-tune — with checkpoint evaluation throughout.
4
Evaluation
Benchmarked against GPT-4 and base model on your actual tasks.
5
Deployment
API endpoint, edge device or self-hosted — with monitoring and retraining triggers.
FAQ
Common questions
How much training data do we need?
As few as 500–1,000 high-quality examples for LoRA fine-tuning. More data improves quality — we'll advise on your specific task.
Does our data leave our systems?
Only if you choose cloud training. We offer on-prem and VPC training runs where your data never leaves your infrastructure.
How long does fine-tuning take?
Typically 1–4 weeks including data preparation, training and evaluation. Larger datasets take longer.
Can we update the model as our data changes?
Yes — we build a retraining pipeline so you can update the model as your knowledge base grows.
Ready to train your own model?
Send us your use case and a sample of your data. We'll evaluate feasibility and quote within 48 hours.
Get In Touch
Ready to get started?
Tell us about your project. We reply within 4 business hours.
Call (Australia)1800 A2ZTECH
Response TimeWithin 4 business hours (AEST)
Send Us a Message