No training on your data. No data sent where the task does not require it. Documented paths, in-country processing where you need it, and systems engineered to prove it.
The questions we hear are usually the right ones: is our data being used to train a model? Where is it processed? Who can see it afterwards? The wrong answer in this industry is “don’t worry about it” — and the honest answer is that privacy is a property of the engineering, not a reassurance.
Our engineering defaults are written down and signed: no training on your data without written consent (which is to say, never), data minimised before it reaches any model, encryption in transit, retention documented, access attributable to a person. If you need Australian data regions or private infrastructure, that is a configuration decision, not a negotiation.
Every model integration is configured with no-training agreements unless you explicitly choose otherwise, in writing.
We send only what the task requires — identifiers stripped, extraneous fields never leave your systems.
Where data goes, which provider processes it, how long it is retained — mapped and readable, not discoverable after an incident.
Australian regions and private infrastructure where your policies or contracts demand it, configured from the start.
Role-based access with least privilege, every access attributable, and deletion behaviour engineered — not promised.
Signed before we start, at your request. No client data is ever used for anything except the project it belongs to.
The same discipline runs across everything we ship — see secure software development for the platform side and AI for business for what AI should be doing with your data in the first place. And if the question is what we build with AI at all: AI integration services.
First call is 45 minutes and genuinely useful, even if we do not work together.