Every law firm, medical practice, and defense contractor in America runs sensitive data through cloud AI vendors they do not control, cannot audit, and cannot air-gap. The moment that data leaves your building, you have lost custody. You are trusting a third party with your clients' most confidential information, and you have no mechanism to verify what happens to it.
Dhakma exists to close that gap. We build on-premise AI infrastructure that processes your data on your hardware, in your building, under your control. The models run locally. The data stays local. There is no cloud connection to breach because there is no cloud connection.
For operators in defense, energy, healthcare, and law, this is not a feature request. It is the minimum acceptable standard.
We work with operators in defense, energy, and healthcare who can't afford to send sensitive data to the cloud and can't afford AI that doesn't work.
At Microsoft Azure, Mackie built planet-scale distributed systems. He saw firsthand how enterprise data moved through infrastructure that no single customer could audit, control, or disconnect. The cloud was the product. The data was the fuel.
At Purdue, he earned a PhD in Computer Science specializing in Computer Vision, Computer Graphics, Robotics, and Simulations. The research gave him the tools. The industry gave him the problem.
Dhakma is the answer. A private AI platform built from the hardware up, designed for organizations where a data breach is not a line item on a risk register. It is an existential event. Core trains on-premise. Edge deploys to the field. The loop is closed. The data never leaves.