Put AI agents to work across your business
Embee Holdings Australia designs, builds and hosts agentic AI systems for individuals and organisations — with best-cost access to leading language models and private cloud compute you control.
AI that earns its place in your business
Embee Holdings Australia is an AI solutions practice specialising in agentic systems — software that reasons, plans and acts on your behalf, rather than waiting to be told what to do.
We work with individuals, startups and established organisations to find where agents genuinely add value, then design, build and run those agents end to end. You do not need an in-house AI team, an MLOps function or a research budget. You bring the problem; we deliver a working system.
Model economics, solved. We architect and broker access to leading language models so you pay the lowest sustainable rate for the capability you actually need — without locking yourself to a single vendor.
Hands-free delivery. Design, build, evaluation, deployment and monitoring are ours to handle. Your team sees working outcomes, not a backlog of tickets.
Private by design. Agents can run on private cloud compute we provision and manage, so sensitive data stays inside a boundary you control.
Open by default. We build and publish open-source tooling for the developer community, and what we learn in the open makes the systems we build for you better.
Measurable outcomes, transparent costs, and systems you own.
What we do
Six capabilities, delivered as one engagement — or individually, if that is all you need.
LLM access and cost engineering
We secure and architect access to frontier and open-weight models on the best available commercial terms, then engineer the routing, caching and context strategy that keeps unit costs low as you scale. For most clients the largest saving lands here, before a single agent ships.
Agentic workflow design
We map the work you actually do, identify the tasks and decisions an agent can own, and design workflows with clear guardrails, escalation paths and human checkpoints. Automation people trust, because they can see how it behaves.
Hands-free agent build and deployment
We build, evaluate and ship production agents — tool use, retrieval, memory, orchestration and monitoring included. You approve the outcome; we handle everything between the brief and the running system.
Private cloud agent hosting
For sensitive, regulated or high-volume workloads we provision and operate private cloud compute for your agents. Isolated infrastructure, your data boundary, full observability, and no third-party training on your inputs.
Evaluation, observability and assurance
Every agent we ship comes with evaluation suites, tracing and cost dashboards, so you can prove performance, catch regressions early and keep spend predictable.
Open source and community engineering
We develop and publish open-source projects for developers, individuals and organisations — reusable agent patterns, tooling and reference implementations, free to use.
How we work
Five steps from first conversation to a system running in production — no black boxes, no open-ended discovery.
01 — Discover
A short, structured session to understand your workflows, data and constraints, and to find where AI can realistically pay for itself.
02 — Design
A written solution architecture: agent scope, model selection, guardrails, hosting, integration points and a transparent cost model.
03 — Build
We develop and evaluate the agents against real cases from your business, iterating until they meet a standard you have agreed to.
04 — Deploy
Rollout on your own infrastructure or our private cloud, with monitoring, documentation and a clean handover.
05 — Operate
Ongoing tuning, cost optimisation and capability expansion as models improve and your needs change.
Built in the open
We publish our tooling under permissive licences. The current focus is midge — a tiny inference engine that runs 100B-parameter mixture-of-experts models on ordinary hardware by streaming experts from disk. Apache-2.0, free to use, and the same cost engineering we bring to client systems.
Common questions
The things people ask us before a first engagement.
No. We handle design, build, evaluation, deployment and monitoring. Where you do have an internal team we work alongside them and hand over documented, maintainable systems rather than a black box.
Model choice, routing, caching and context design account for most of what an agentic system costs to run. We select the right model for each step rather than sending everything to the most expensive one, and we give you cost dashboards so spend stays visible and predictable.
That is your decision. Agents can run on your existing infrastructure, or on private cloud compute we provision and operate for you, so sensitive data stays inside a boundary you control. We do not use your data to train third-party models.
No. We build model-agnostic systems so you can move between frontier and open-weight models as pricing and capability change, without rewriting your workflows.
It depends on scope, but a first agent covering a well-defined workflow typically moves from discovery to production in weeks rather than quarters. We agree the standard it has to meet before we start building.
Right now, midge — an Apache-2.0 inference engine that runs very large mixture-of-experts models on ordinary hardware by streaming experts from disk, so you are not forced onto expensive infrastructure to use a frontier-class model. Further agent tooling and reference implementations follow as we generalise what we build for clients.
Book a consultation
Tell us the workflow you would most like to hand over. We will come back with an honest view of whether agentic AI is the right answer, what it would cost, and how quickly it could be running.