LLM development · Melbourne
LLM development company in Melbourne
Practical, no-nonsense delivery from a senior team that overlaps your afternoon and works while you sleep.
Clarigo Infotech is an LLM development company that builds custom applications on large language models such as OpenAI GPT, Anthropic Claude, Google Gemini and open-source models like Llama. We design the prompts, retrieval, tools and guardrails, connect the model to your data and systems, and run it in production with monitoring, evaluation and cost control.
Australian businesses most often hire us for AI automation, healthcare software and production-ready MVPs.
10+
Years of delivery
600+
Projects delivered
20+
Countries served
25-30
Days to a live MVP
Get a free consultation
Tell us what you need. A senior engineer replies within one working day.
Practical, straightforward and good value
Australian and New Zealand businesses want plain talk, fair pricing and things that work. We keep it simple and get it done.
Straightforward pricing
A fixed quote up front and no surprise invoices.
Work moves overnight
Brief us in your afternoon and see progress the next morning.
Privacy Act ready
Australian or NZ hosting and design that follows your privacy principles.
Practical solutions
The simplest system that solves the problem, built to be easy to run.
What we build with LLMs
Custom LLM applications
Assistants, copilots and internal tools built around your workflows, not a generic chat window.
LLM integration
Add GPT, Claude or Gemini to your existing product through secure, well-tested APIs.
Open-source and private models
Deploy Llama and other open models on your own cloud when data must stay in-house.
Fine-tuning and evaluation
Tune models on your examples and measure accuracy with test sets before and after launch.
Guardrails and safety
Input and output filtering, PII masking, grounding checks and human review where needed.
Cost and latency optimisation
Model routing, caching and prompt design that keep responses fast and bills predictable.
How we approach LLM development
Choosing the right model
There is no single best model. We compare OpenAI, Claude, Gemini and open-source options on your real tasks for accuracy, speed, cost and data handling, and design the app so the model can be swapped later without a rewrite.
Grounded in your data
Most business value comes from connecting the model to your documents, databases and tools. We use retrieval (RAG), function calling and agents so answers come from your information and actions happen in your systems.
Built for production, not demos
We add evaluation test sets, logging, monitoring, rate limits, fallbacks and cost alerts from day one, so the app keeps working well after launch and you can see exactly what it is doing.
Security and compliance
Data minimisation, encryption, access control and providers configured not to train on your data. For healthcare we build to HIPAA requirements with BAAs in place for any service that touches PHI.
Built for Melbourne teams
Time-zone overlap
Indian mornings overlap with eastern Australian afternoons, so you get a daily stand-up in your working day and work moves forward the same evening.
The Australian Privacy Act and Australian Privacy Principles
We build to the Australian Privacy Principles (open handling, security, access and correction), host data in Australian cloud regions when required, and sign NDAs and data agreements before work starts.
Billing
Invoices in Australian dollars (AUD) or US dollars. Typical senior rates are $25 to $49 (USD) per hour, or a fixed price for a defined scope.
Built for Melbourne's key sectors
Melbourne's healthcare, education and SaaS businesses use us for patient and student platforms, AI assistants and new products, built to the Australian Privacy Principles.
Mining and resources
Remote operations need asset tracking, safety and automation software. AI here usually means faster reporting, fewer manual steps and better customer replies.
Education
Universities serve international students through digital platforms. We start with one costly process and automate it end to end.
Financial services
Open banking under the Consumer Data Right drives new apps. We build AI agents, assistants and automation around these workflows.
Tourism
Operators depend on online bookings and destination marketing. AI here usually means faster reporting, fewer manual steps and better customer replies.
Your working day with us
Our team's hours, in Melbourne time
15:30–01:00
Monday to Friday
Overlap with your working day
15:30–18:00
About 2.5 hours every day
Daily stand-up
16:00
Melbourne time, plus written updates every evening
Local platforms and setup
Messaging channels
Languages
Local payments
Data hosting
AWS Asia Pacific (Sydney, Melbourne) and Google Cloud australia-southeast1 (Sydney), in your own cloud account, so data stays where your rules require.
How it works
Week 1: discovery and design
We agree the use case, success measures and data, and show you a clickable design.
Weeks 2-3: build and integrate
We build, connect it to your systems and data, and demo working software every week.
Week 4: test and launch
We test with real cases, add monitoring and guardrails, then go live.
After launch: improve and scale
The same engineers keep tuning quality, cost and features as usage grows.
See what we've built
Try it yourself, free
Free browser tools from our team. No sign-up needed.
LLM development company: questions from Melbourne
Do you work with companies in Melbourne?+
Yes. Clarigo Infotech works with companies across Melbourne, including Melbourne, Geelong, Box Hill, as part of clients in 20+ countries. Australian businesses most often hire us for AI automation, healthcare software and production-ready MVPs. We work remotely from India with one in-house team.
What time-zone overlap do we get from Melbourne?+
Indian mornings overlap with eastern Australian afternoons, so you get a daily stand-up in your working day and work moves forward the same evening.
How do you handle the Australian Privacy Act and Australian Privacy Principles?+
We build to the Australian Privacy Principles (open handling, security, access and correction), host data in Australian cloud regions when required, and sign NDAs and data agreements before work starts.
Which currency do you bill in, and what does it cost?+
We bill in Australian dollars (AUD) or US dollars. Senior engineers typically cost $25 to $49 (USD) per hour, and fixed-scope projects such as an MVP in 25 to 30 days are quoted after a free consultation.
What time are your meetings in Melbourne time?+
Our team works 15:30–01:00 Melbourne time, so we overlap with your day from 15:30–18:00. Daily stand-ups are usually at 16:00 your time.
Can you build in English?+
Yes. We build interfaces and content in English, and test them with native speakers before launch.
Where will our data be hosted?+
Usually in AWS Asia Pacific (Sydney, Melbourne) and Google Cloud australia-southeast1 (Sydney), or wherever your data rules require. Everything runs in your own cloud account, so you stay in control.
What does an LLM development company do?+
An LLM development company designs, builds and runs applications powered by large language models: assistants, copilots, document processing, search and agents. Clarigo Infotech handles model choice, prompts, retrieval, integrations, guardrails, testing and production monitoring.
Which LLM should we use: GPT, Claude, Gemini or open source?+
It depends on your task, data rules and budget. We test the options on your real examples and recommend the best fit, and we build so you can switch models later.
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