What we have built with clients, and what it changed for them.
AI Maker Box deployed on the campus network; multi-agent workloads with graph reasoning executed locally.
Student data never left the campus network; affordable integrated deployment; longitudinal learning records accumulate on campus.
GoGlobal in production; lead agents covering six industries.
Regional business clusters reached at scale through a public-service platform; the approach was replicated to further provinces without rebuilding the foundation.
Phase one of an AI-native data platform: governance layer + harness + skill library.
All data on premises; full lineage; first skill packages delivered.
AI-Ready Data connecting market trends, consumer reviews and formulation data.
R&D moved from experience-driven to data-driven.
Consumer Replica (ACR) simulated research.
Research cost and cycle time each reduced by an order of magnitude.
Every engagement folds the reusable part back into the framework: rules, harness components and skill packages. Changing region or industry does not mean rebuilding the foundation, which is why the next client is faster and cheaper.
Tell us which scenario is still not in production: where the data lives, who uses it, and who signs off. One workshop gives you a verifiable path forward.
