Partner
Greenix Digital
The brand under which we build. Aratu answers whether a program will hold up. Greenix answers whether a thing can be built.
The Greenix site is still being built. Until it is live, the fastest route in is through us.
Why two names
One small team, two fronts
Assurance and engineering are different jobs, and a firm that quietly does both under one name invites a fair question: who checks the work? Keeping them separate answers it. Aratu takes the assurance, governance and adoption work. Greenix takes the engineering.
Joint work is proposed under both names, with one accountable individual for each part and the split stated in writing before anything starts. Where our involvement on one side would compromise our independence on the other, we say so and you choose which one you want.
Capability
What Greenix builds
Applied AI engineering
Retrieval systems, agent workflows and model integration built to run in production, not to demonstrate well once.
Evaluation harnesses
The test rig that tells you whether the thing actually works, and keeps telling you after the model changes underneath it.
Prototypes that answer a question
Short, scoped builds with success criteria agreed first, so the outcome can honestly be "no".
Production systems
Deployment, observability and the operational shape needed to hand something over and have it survive.
Products
Built with Greenix
Sovereign AI Appliance
A compact, air-gapped device running domain-tuned models on-premise — no network egress, no cloud dependency, no data leaving the room.
Read more →TGA Compliance Agent
A specialised AI agent running inside your organisation, continuously checking documentation, labelling, advertising and record-keeping against Therapeutic Goods Administration requirements.
Read more →Boundaries
What Greenix will not do
No proprietary model claims, and no productivity figure we have not measured. We will not build something we would then be asked to independently assure. We will not ship a system whose outputs nobody has agreed to be accountable for, and we will say when a problem does not need AI in it at all.
A short first conversation, then a clear recommendation.
Tell us what the program is, where it is, and what has to hold up. If we are not the right firm, we will say so and point you to who is.