Insights
Field notes on private AI and data sovereignty.
Answer-first writing on the software behind the products: self-hosted language models, on-premise computer vision architecture, and the rules that decide where either one is allowed to run.
On-Premise vs. Cloud AI for Regulated Industries
A direct answer to when regulated industries should run AI on their own infrastructure, and when a cloud AI service is the right call.
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What Is a Private LLM, and When Do You Need One?
A direct explanation of what a private LLM is, and the conditions under which it should run on your own infrastructure instead of a shared API.
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Data Sovereignty for AI: DPDP, MAS TRM, and What They Mean for Deployment
What India's DPDP Act and Singapore's MAS TRM Guidelines actually require, and how those requirements should shape where an AI system runs.
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Deploying Computer Vision On-Premise: A Reference Architecture
The layers an on-premise computer vision deployment actually needs, from camera ingest to GPU inference to the audit record, and where each one runs.
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