Pioneering Predictive Intelligence
Geotechnical Intelligence (GI) was founded on a singular premise: that reactive monitoring is no longer sufficient for the complexities of modern infrastructure.
Our Mission
To transform reactive ground data into proactive predictive intelligence through the DAIS framework, ensuring the absolute safety and structural certainty of global infrastructure projects.
Our Vision
A future where geotechnical risks are identified and mitigated before they manifest, creating a world of 'Zero-Incident' infrastructure powered by AI-driven early warning systems.
SYSTEM STATUS: OPTIMIZING GLOBAL INFRASTRUCTURE SAFETY NETS
The Genesis of DAIS
In 2021, our founders witnessed the limitations of traditional monitoring systems firsthand. The industry was "data-rich but insight-poor," collecting vast amounts of sensor readings that only explained what had *already happened*.
They envisioned a system that could look forward—a Digital Asset Intelligent System (DAIS) that uses advanced machine learning to predict ground behavior days or weeks before movement occurs.
By 2026, Geotechnical Intelligence has evolved from a startup into the standard for predictive safety in complex civil engineering, monitoring billions in assets across five continents.
The Minds Behind the Intelligence
Our team bridges the gap between deep-earth engineering and cutting-edge artificial intelligence.
Barry Kok
Co-Founder & Chief Visionary Officer
Barry is the driving force behind DAIS’s long-term vision. He defines why the platform exists and where it is heading — transforming geotechnical intelligence into a predictive, AI-driven decision system. With a strong background in infrastructure technology and product strategy, Barry connects real-world engineering problems with scalable digital solutions, ensuring DAIS delivers meaningful impact to asset owners, engineers, and governments.
Slayer Chuang
Co-Founder & Chief Systems Architect
Slayer designs the core architecture that turns vision into reality. He is responsible for the end-to-end technical blueprint of DAIS, from data ingestion and processing pipelines to GIS, risk engines, and real-time visualization. His work ensures the platform is scalable, resilient, and ready for complex, large-scale infrastructure deployments.
Tam Ton
Co-Founder & Head of Engineering
Tam Ton leads the execution of DAIS at the engineering level. He transforms architecture into working products, guiding development teams to deliver reliable, high-quality features across web, backend, and data services. Tam ensures fast iteration, solid engineering practices, and continuous improvement as DAIS evolves.
Ready to build with certainty?
Join the leading infrastructure projects worldwide that trust GI to protect their assets and their reputation.
Consult Our Intelligence Team