AI Assistants
Customer support bots, internal helpdesks and sales assistants — built on the Assistants API with persistent memory and file search.
OpenAI Partner
OpenAI / GPT-4
Production apps built on OpenAI's platform
From GPT-4 integrations to custom Assistants, fine-tuned models and agents — we build OpenAI-powered software that ships and scales.
GPT-4o / o1Latest models
Assistants APIStateful agents
Fine-tuningDomain models
Models We Work With
Every OpenAI model, applied correctly
Flagship
GPT-4o
Best balance of intelligence, speed and cost. Our default choice for most production chat, reasoning and generation tasks.
Reasoning
o1 / o3
OpenAI's chain-of-thought reasoning models — used for complex problem solving, code generation and multi-step analysis.
Fast & cheap
GPT-4o mini
High-speed, low-cost model for classification, summarisation and tasks where volume matters more than max intelligence.
Stateful agents
Assistants API
Persistent threads, file search, code interpreter and tool use — ideal for building AI assistants with memory and multi-turn reasoning.
Vector search
Embeddings
text-embedding-3-large and small for semantic search, RAG pipelines, recommendation engines and duplicate detection.
Audio
Whisper / TTS
Speech-to-text and text-to-speech for transcription pipelines, voice interfaces and audio processing workflows.
What We Build
OpenAI applications across every use case
Document Intelligence
Contract analysis, invoice extraction, report generation and document Q&A — powered by GPT-4o with structured output.
Code Generation Tools
Internal coding assistants, code review bots and PR summarisers — fine-tuned on your codebase for accurate suggestions.
RAG Applications
Knowledge bases, enterprise search and Q&A systems grounded in your private data using embeddings and vector retrieval.
Voice Applications
Speech-to-text pipelines, voice bots and audio transcription workflows using Whisper and GPT-4o audio.
Workflow Automation
Multi-step AI workflows using function calling and tool use — connecting OpenAI to your APIs, databases and business systems.
What We Deliver
Every OpenAI project includes
✓Model selection and cost optimisation advice
✓Prompt engineering and system prompt design
✓Streaming API integration with fallback handling
✓Token cost monitoring and budget controls
✓Structured output validation and error handling
✓Rate limit management and retry logic
✓Evaluation framework and accuracy benchmarking
✓Production deployment and monitoring
FAQ
Common questions
Which OpenAI model should I use?
Depends on your task. GPT-4o for most production work; o1/o3 for complex reasoning; GPT-4o mini for high-volume tasks where cost matters. We'll recommend the right one based on your use case and budget.
How do you handle OpenAI costs in production?
We implement token budget controls, streaming, prompt compression and caching. We also monitor usage and alert you before spend spikes.
Can you fine-tune GPT models on our data?
Yes — GPT-4o and GPT-4o mini support fine-tuning. We handle data preparation, training runs and evaluation.
Is our data sent to OpenAI's servers?
For API calls yes — OpenAI's enterprise API has a zero data retention option. We can also discuss on-prem alternatives if data residency is a hard requirement.
Ready to build with GPT-4?
Tell us your use case — we'll recommend the right model, architecture and approach.
Build With Us
Ready to build with AI?
Tell us your use case. We reply within 4 business hours with a practical approach.
AI ServicesView all AI services →
ResponseWithin 4 business hours (AEST)
Tell Us Your Use Case