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When AI Agents Access Everything,
Where They Run Matters

Private LLM hosting for Australian organisations. Your data stays in your control—not training someone else's model, not crossing borders, not accumulating in third-party logs.

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Terminal — OpenAI-compatible API

# Your private endpoint, your data
curl https://llm.your-org.triont.com.au/v1/chat/completions \
  -H "Authorization: Bearer $YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama3-70b",
    "messages": [{"role": "user", "content": "Summarise Q4 board materials"}]
  }'
        

Why Private Infrastructure

AI without compromise

Use AI at full capacity without worrying about where your data goes.

Data stays where you put it

No prompts leaving your perimeter. No context accumulating in third-party logs. No training on your inputs.

Australian hosting

For organisations with sovereignty requirements—regulatory, contractual, or principled—data stays in-country.

Predictable costs

Fixed capacity instead of usage-based surprises. When teams adopt AI seriously, token costs compound fast.

Agent-ready infrastructure

As AI systems move from chat to autonomous work, the security of where they run becomes non-negotiable.

Not a replacement—a complement

Keep your ChatGPT and Claude subscriptions for novel problems. Route the 80% of routine, context-heavy work through private infrastructure at fixed cost. OpenAI-compatible APIs mean teams don't change how they work.

Who this is for

Organisations that have thought about where their data goes—and decided it matters

Professional services firms handling client-confidential information
Corporates with regulatory or contractual data residency requirements
Teams building AI into workflows where context includes sensitive material
Anyone uncomfortable with AI agents accessing everything, running on someone else's infrastructure

If your current approach is "just don't put anything sensitive in the prompt"—you've already hit the ceiling of what public AI can do for you.

A safe space to learn

"It makes me smarter as it's a safe place to ask what might be stupid questions."

One of the unexpected benefits: people actually use it. When there's no concern about data leakage, teams explore more freely, ask questions they wouldn't ask a public service, and learn faster. That psychological safety matters as much as the technical security.

When AI Agents Access Everything,Where They Run Matters