LLM development · Auckland
LLM development company in Auckland
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.
New Zealand companies most often hire us for SaaS products, AI automation and mobile apps.
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.
How we work with Auckland clients
Time-zone overlap
Indian mornings overlap with New Zealand afternoons, giving you a daily stand-up in your working day and progress overnight.
The New Zealand Privacy Act 2020
We design to the Information Privacy Principles in the Privacy Act 2020, host data in Australian or New Zealand cloud regions when required, and sign NDAs and data agreements before work starts.
Billing
Invoices in New Zealand dollars (NZD) or US dollars. Typical senior rates are $25 to $49 (USD) per hour, or a fixed price for a defined scope.
Where we help Auckland businesses most
Auckland businesses use us for SaaS platforms, retail and e-commerce apps and AI automation, with senior engineers and progress delivered overnight.
Dairy and agriculture
Exporters invest in farm data and supply-chain traceability. We start with one costly process and automate it end to end.
Tourism
Operators rely on online bookings and global marketing. We build AI agents, assistants and automation around these workflows.
Film and creative tech
Studios adopt digital production and VFX tooling. AI here usually means faster reporting, fewer manual steps and better customer replies.
SaaS
Small domestic market pushes software firms to sell globally. We start with one costly process and automate it end to end.
How the hours line up
Our team's hours, in Auckland time
17:30–03:00
Monday to Friday
Overlap with your working day
Flexible shift
Evening shift for a live stand-up, progress overnight
Daily stand-up
09:30
Auckland time, plus written updates every evening
Built for how Auckland works
Messaging channels
Languages
Local payments
Data hosting
AWS Asia Pacific (Auckland) and Azure New Zealand North, 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 Auckland
Do you work with companies in Auckland?+
Yes. Clarigo Infotech works with companies across Auckland, including Auckland, North Shore, Manukau, as part of clients in 20+ countries. New Zealand companies most often hire us for SaaS products, AI automation and mobile apps. We work remotely from India with one in-house team.
What time-zone overlap do we get from Auckland?+
Indian mornings overlap with New Zealand afternoons, giving you a daily stand-up in your working day and progress overnight.
How do you handle the New Zealand Privacy Act 2020?+
We design to the Information Privacy Principles in the Privacy Act 2020, host data in Australian or New Zealand 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 New Zealand dollars (NZD) 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.
Where will our data be hosted?+
Usually in AWS Asia Pacific (Auckland) and Azure New Zealand North, or wherever your data rules require. Everything runs in your own cloud account, so you stay in control.
Do you support Facebook Messenger?+
Yes. Customers in Auckland often prefer Facebook Messenger and SMS and WhatsApp, so we connect chatbots, notifications and support flows to them.
Do you work with dairy and agriculture companies?+
Yes. Dairy and agriculture is one of Auckland's key sectors, and we build AI agents, assistants and automation around these workflows.
Can you keep our data private?+
Yes. We use providers configured not to retain or train on your data, mask sensitive fields, and can deploy open-source models on your own cloud when data must not leave your environment.
How long does it take to build an LLM application?+
A focused LLM app for one workflow typically goes live in 25 to 30 days. Larger platforms are delivered in phases.
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