Tiu's journey into technology began during her undergraduate studies at Simon Fraser University, where she pursued linguistics and psychology. While supporting herself through web development projects, she discovered profound parallels between code architecture and language structure—an insight that would shape her future entrepreneurial vision. Her academic focus on linguistics and psychology sparked a deep fascination with autonomous systems capable of perception, reasoning, and independent action, mirroring the human cognitive traits she studied.
‍
A pivotal moment came when Tiu encountered "Linguistics for the Age of AI," which crystallized her vision for what would become JADA, MomentPort's flagship technology. Drawing from her unique interdisciplinary background, she began developing early concepts for JADA in 2021, transitioning to stealth development in 2022.
Under Tiu's leadership, MomentPort Inc. continues to push the boundaries of AI-human interaction, leveraging her distinctive blend of linguistic expertise, psychological insight, and technical innovation to create transformative solutions in the AI interface space.

Darmstadt-Bélanger earned his Master of Science in Computer Science from the Université du Québec à Chicoutimi in 2024, where he conducted groundbreaking research in partnership with Co-operators General Insurance Company (CGIC). His thesis, "Data Pre-Processing: Assistance to Non-Expert Users," addressed a critical industry challenge by developing an innovative Extract, Transform, and Load (ETL) platform that democratizes data preprocessing for non-technical professionals. This solution demonstrated a 50% reduction in preprocessing time, enabling actuarial professionals to perform complex data transformations without coding expertise.
‍
Following his academic success, Darmstadt-Bélanger was recruited by CGIC's Research and Innovation Department, where he contributed to multiple cutting-edge projects that required creative problem-solving and advanced technical capabilities. His work bridged the gap between theoretical machine learning concepts and practical enterprise applications, establishing him as a versatile technologist capable of translating complex technical solutions into accessible business tools.
‍
As an independent consultant, Darmstadt-Bélanger further expanded his expertise across diverse domains, tackling novel challenges that demanded both deep technical knowledge and strategic thinking. This entrepreneurial experience sharpened his ability to deliver end-to-end solutions while managing all aspects of data science projects autonomously.