Private AI · self-hosted · Australian
Manufacturing
Operational, quality and order data sits in disconnected systems, and IP-sensitive data can't go to public AI.
How it works
Connected to your ERP/MES behind your firewall; data and IP stay on-site.
Compliance in scope
Australian Privacy Principles · commercial-in-confidence / IP protection.
In practice
For Oilpath, a national manufacturer, we built a private AI that finds and pre-qualifies their next customers - a steady stream of leads that match their ideal customer, including the ones ready to buy right now. Around 20 a week, so their outreach always lands.
What it would look like for you
A customer asks for a price on a variant of something you built in 2019. Somewhere there is the original job, the drawings, the parts list and a note about what went wrong the first time - and the person who remembers it is on leave. Found in seconds from your own archive; the new enquiry then read, checked against your rules, priced and written into your ERP without an engineer doing data entry.
That is Project Memory and Enquiry-to-Order - two of the six builds we start from, customised to how your plant actually works. See all six →
Drawings, pricing and process know-how have no personal identifiers to strip out - the value is the content itself, so anonymising protects nothing. That makes where it gets processed the only question that matters. Why that is becoming everyone's question →
