Founder
Taezo is led by Aimé Fraser, an AI Experience Architect whose work combines language, operational judgment, cybersecurity, and hands-on craft.
She builds public-facing AI systems for settings where words carry consequence: civic projects, campaigns, professional practices, long-running AI systems, and organizations that need AI to answer from real sources without losing voice, trust, or accountability.
Before working in AI, Aimé spent decades building and explaining things that had to hold: boats, furniture, tools, books, field operations, and security systems.
That background shapes Taezo directly. The work is not about making AI sound impressive. It is about building systems with enough structure to stay clear under pressure: the right source base, the right voice, the right refusals, the right tests, and a maintenance path after launch.
Across all of it, the questions have stayed the same:
What has to hold?
Where does it fail?
Who carries the cost when it fails?
What structure would make it more trustworthy?
AI needs joinery, not decoration.