Self-hosted AI agents that run on your own hardware.
AgentOS 98 designs, builds and deploys bespoke internal AI agents for Australian and New Zealand businesses. No per-token bills. No data offshore. You own the stack.
Key facts
- Service area
- Australia and New Zealand
- Engagement
- Fixed-scope build — you own the agents, the models, the hardware and the documentation
- Infrastructure
- Runs on customer-controlled hardware: a workstation, a rack in a local datacentre, or your private cloud
- Data path
- Prompts and documents stay on your infrastructure — no offshore LLM routing by default
- Cost model
- No per-token meter and no per-seat licence after handover
- Timeline
- Roughly two-week workload audit, then a 6–8 week build
- Contact
- hello@agentos98.ai — Sydney · Melbourne · Auckland
The service in four answers
What is AgentOS 98?
A complete service: we design the agent, spec the hardware, deploy it inside your infrastructure, and hand it over. Docs, training and keys included — you own the lot.
What is an agent stack?
The model, the compute, your data sources, and the guardrails — all running on hardware you control, from a workstation under a desk to a rack in a local datacentre.
Why self-host instead of an API?
API bills grow with usage, seats, and model upgrades. Self-hosting puts a fixed-cost GPU in your office or cloud — your prompts, documents, and models never leave your infrastructure. No per-token meter, no surprise invoices, no data offshore.
How does it save money?
You replace metered API bills and manual back-office work with a fixed-cost GPU. Invoices, reports, support tickets, and scheduling drafts happen automatically — so your team spends time on work that actually moves the business forward.
What we build
InvoiceBot
Reads invoices, matches POs, files exceptions
FrontDesk
Answers customers from your own docs
DocSage
Private Q&A over every file you own
WeeklyReport
Pulls the numbers, writes the commentary
Cloud API vs self-hosted
| Cloud agent / ChatGPT API | AgentOS 98 self-hosted | |
|---|---|---|
| Data path | Prompts and documents leave your infrastructure for a third-party API | Prompts and documents stay on your hardware — no offshore LLM routing by default |
| Cost model | Per-token and per-seat metering that grows with usage | Fixed-cost hardware; no per-token meter or per-seat licence after handover |
| Model control | The provider chooses the model and changes it on their schedule | You own the models and choose when to upgrade |
| Offline / air-gap | Requires a live connection to the API | Air-gap capable — no internet call needed at runtime |
| Best for | Ad-hoc, low-volume use | High-volume, judgement-driven internal workloads |
Frequently asked questions
What is AgentOS 98?
A complete service: we design the agent, spec the hardware, deploy it inside your infrastructure, and hand it over. Docs, training and keys included — you own the lot.
What is an agent stack?
The model, the compute, your data sources, and the guardrails — all running on hardware you control, from a workstation under a desk to a rack in a local datacentre.
Why self-host instead of an API?
API bills grow with usage, seats, and model upgrades. Self-hosting puts a fixed-cost GPU in your office or cloud — your prompts, documents, and models never leave your infrastructure. No per-token meter, no surprise invoices, no data offshore.
How does it save money?
You replace metered API bills and manual back-office work with a fixed-cost GPU. Invoices, reports, support tickets, and scheduling drafts happen automatically — so your team spends time on work that actually moves the business forward.
BOOK A WORKLOAD AUDIT
Book a 45-minute workload audit. We'll map where agents genuinely pay off, what the hardware costs, and if it's not the right move, we'll say so.