Next Generation Intelligence

SPATIOLYX

Empowering organizations with spatiotemporal intelligence capabilities across multimodal data environments.

Mastering Space & Time

Spatiolyx bridges the gap between static geospatial data and dynamic temporal events, unlocking a new dimension of intelligence for the modern enterprise.

Multimodal Data Fusion

Seamlessly integrate diverse data streams—satellite imagery, IoT sensors, and unstructured text—into a unified spatiotemporal framework.

Advanced Reasoning

Go beyond simple mapping. Our AI understands the 'why' and 'when' behind spatial events, enabling deep cognitive reasoning across time and space.

Predictive Analytics

Anticipate future states with high-fidelity simulations. Move from reactive monitoring to proactive risk management and strategic foresight.

Global Simulation

Model complex environments at scale. Simulate scenarios in digital twins to optimize real-world operations in logistics, defense, and urban planning.

Leadership

Meet the founders

The team behind Spatiolyx brings deep domain expertise in geospatial AI, defense analytics, and enterprise systems.

Dr. Triet M. Le

Founder

Dr. Triet M. Le

Co-Founder, CEO

Triet M. Le is a mathematician and AI researcher working at the intersection of artificial intelligence, remote sensing, and geospatial intelligence. He earned his PhD in Mathematics from UCLA and has held research and faculty positions at Yale University, the University of Pennsylvania, and national research laboratories. Over the past two decades, he has led advanced research programs in computer vision, natural language processing, predictive analytics, and multimodal data fusion, developing AI and Bayesian methods for large-scale sensing and complex operational environments. As CEO and Chief Scientist of Spatiolyx, Triet leads the company’s mission to build next-generation AI platforms for spatiotemporal intelligence across Earth and space domains.

Vu Nguyen

Founder

Vu Nguyen

Co-Founder, CTO

Vu Nguyen is a software engineering leader and systems architect with over two decades of experience building scalable, secure, and AI-driven platforms. He holds an MS from Carnegie Mellon University and a BS from the University of Southern California, and is the named inventor on more than twenty patents in web security, cloud architecture, and AI technologies. His career spans principal engineering and leadership roles at Google, Amazon, Capital One, and Disney, where he has led teams delivering cloud-native infrastructure, agentic AI systems, and distributed platforms at global scale, including Google Workspace, Google Distributed Cloud, Gemini Cloud Assist, and Capital One's AI-powered assistant Eno. As Chief Technology Officer of Spatiolyx, Vu leads the design and engineering of the company's secure, multi-source data fusion platform. He architects the end-to-end system infrastructure, from real-time ingestion through AI-driven fusion and agentic inference, emphasizing modularity, zero-trust security, and vendor-agnostic extensibility.

Capabilities for
Critical Operations

Proactive Risk Management

Shift from reactive monitoring to proactive prevention. Identify hotspots and predict risk events in real-time for healthcare, defense, and public safety.

Optimized Logistics & Supply Chain

Enhance warehousing and fleet operations. Our algorithms minimize human error, predict bottlenecks, and optimize routes in dynamic environments.

Autonomous Navigation

Empower autonomous systems to navigate complex, changing surroundings. Crucial for robotics, drones, and self-driving vehicles requiring sub-second decision making.

Environmental Monitoring

Dynamic organization of Earth observation data for ecological security, carbon market auditing, and resource management at a planetary scale.

10x

Faster Decision Cycles

Research

Highlighting our current research initiatives and experimental projects.

Project

Earth World Model

Phase 1

This project develops a unified, end-to-end spatiotemporal fusion model, grounded in a predictive world model, to generate global Earth system insights from multi-sensor, multi-source data.

Project page →

Start the conversation

Ready to transform your organization with spatiotemporal intelligence?