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Keytechx builds private, compliance-grade AI for regulated industries — primarily insurance and legal. We deliver through staged engagements (Discovery → POC → Production → managed retainer) that deploy wherever your compliance posture requires: your cloud (Azure, AWS, GCP), your owned infrastructure, on-prem, or hybrid. Every system is designed around the governance and regulatory frameworks you already answer to — the EU AI Act, NAIC model law, Quebec Law 25, Rule 1.6 — with the models we recommend tested for red-team robustness, backdoor resistance, and data-exfiltration risk. Our flagship insurance case study, Xenera, is a risk-reduction AI system built for a global insurance carrier — a working example of what a Keytechx engagement looks like end-to-end. AI isn't a layer we add on top — it's embedded in how we build. Across active client work we've shipped RAG document systems, agentic workflow tools, a lightweight local LLM coding assistant, and AI knowledge bases. The same thinking runs through our own delivery process. From requirements analysis and task breakdown to code review and deployment, AI sits inside each step — not bolted on at the end.

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Chung Duy is the Director of Engineering of KeyTechX.

10 people are employed at KeyTechX.

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