In-house vs API
Rent your AI,
or own it.
The first wave of business AI ran on someone else's servers: send your data out, pay per use, trust the fine print. That's changing. Capable open models now run on hardware you own or in your own cloud account. It costs more to set up. It changes the game on privacy, and at high volume it can cost less to run.
Not every job needs the most powerful model on the planet. A lot of useful work, like sorting, summarising and searching, runs well on a smaller model you control.
Rent it Best fit
Public AI
ChatGPT, Claude, Gemini and friends, paid per use or per seat. The strongest models, ready today.
- Privacy and control
- Low setup cost
- Cheap at high volume
- Raw capability
- Low upkeep
Your data goes to the vendor. Business tiers generally don't train on it.
Private cloud Best fit
Your tenancy
Models running in your own Azure, AWS or Google account. Your rules, their hardware.
- Privacy and control
- Low setup cost
- Cheap at high volume
- Raw capability
- Low upkeep
Your data stays in your own cloud account, and can stay in Australia.
Own it Best fit
In-house
Open models like Llama, Mistral, Qwen or Gemma on a server you own. More to set up. Nothing leaves the building.
- Privacy and control
- Low setup cost
- Cheap at high volume
- Raw capability
- Low upkeep
Your data never leaves your building.