AI Analytics + Edge Intelligence

From Field Data to Predictive Intelligence
RAUZ builds the AI Analytics Core and Edge AI models that power the next generation of environmental and geotechnical monitoring systems. Working alongside advanced field data architectures, RAUZ transforms distributed measurements into structured insight — enabling smarter infrastructure, resilient cities, and scalable monitoring intelligence.

Welcome to RAUZ!

Welcome, and thank you for visiting RAUZ. RAUZ was founded on a clear conviction: that the future of environmental and geotechnical monitoring depends not only on data collection, but on intelligent interpretation—turning distributed field information into structured, reliable insight rather than adding layers of complexity.

As an AI-focused analytics company, RAUZ develops Environmental & Geotechnical AI Analytics Core and Edge AI capabilities designed to work alongside advanced monitoring architectures. Our technologies are built to enhance clarity in real-world conditions—where context, adaptability, and engineering judgment matter more than raw data volume.

While RAUZ collaborates with engineers, researchers, and industry partners, its strength lies in analytical rigor, model discipline, and long-term technical vision. Our role is to support and strengthen existing systems by adding intelligence, not replacing them. We look forward to working with partners who value thoughtful innovation and sustainable, engineering-driven progress.

GEOOE

Dr. Jason Nong
Founder, RAUZ

Pillars of Technology

Analytics

Advanced data interpretation models designed for environmental and geotechnical datasets.

Edge AI

Intelligence deployed closer to field environments to enable adaptive, real-time contextual awareness.

Recognition

Pattern detection and anomaly identification across distributed monitoring scenarios.

Insight

Engineering-oriented outputs that support planning, risk evaluation, and operational decision-making.

Reimagine the Future of Instrumentation & Monitoring

Our integrated monitoring ecosystem connects distributed sensing, AI-driven analytics, and scalable cloud infrastructure. Designed for complex field environments, it enhances data visibility, supports informed engineering decisions, and improves operational efficiency across infrastructure and environmental projects.

1,000+

Field Instruments Compatible

08+

Application Domains: Climate, Environment, Geotechnical Engineering, Agriculture, Infrastructure, Smart Cities, Construction, Hydrology.

03

Core Technologies
(DAX™, AI Analytics Core, Edge AI)

Global

Engineering Focus

Geoino

Geoino is GEOOE’s innovation platform for next-generation frameworks and hardware technologies, supporting smart cities, climate, environmental, infrastructure, geotechnical, and construction applications.

Geoino: Robot-First Field Access Systems

Technology concepts born for mobile, robotic, and field-first environments.

Focus on:
• Unsafe or hard-to-reach field environments
• High manpower requirements for routine site access
• Inconsistent data access across large or remote sites
• Limited flexibility in traditional fixed-field setups
• Rising costs of repetitive field inspections
• Difficulty scaling monitoring across distributed assets

GeoSmar: AI-Driven Geo Intelligence Core

Turning field data into structured insight through intelligent analysis.”

Focus on:
• Large volumes of underutilized field data
• Fragmented datasets across projects and teams
• Time-consuming manual interpretation workflows
• Difficulty identifying long-term trends and patterns
• Limited visibility across multi-site deployments
• High learning curve for non-specialist stakeholders

GeoSmar

GeoSmar is GEOOE’s cloud platform for monitoring data and AI-assisted insight, supporting smart cities, climate, environment, infrastructure, geotechnical, and construction applications through scalable, centralized, long-term intelligence.

 

GeoMoni

GeoMoni, GEOOE’s monitoring platform, delivers field-ready, scalable solutions for smart cities, environment, infrastructure, and geotechnical projects—built for real-world complexity and lower long-term costs.

GeoMoni: Future-Ready Monitoring Architecture

System-level frameworks designed for evolving monitoring needs.

Focus on:
• Rigid system designs that age quickly
• Monitoring solutions locked to single project types
• High upgrade and retrofit costs over project lifecycles
• Poor adaptability to changing site conditions
• Lack of architectural consistency across projects
• Difficulty aligning monitoring with evolving regulations

GeoRemo: Human–Machine Field Interaction

Redefining how people and machines work together on site.”

Focus on:
• Heavy reliance on skilled field personnel
• Variability in manual inspection quality
• Limited collaboration between human teams and machines
• Safety risks during on-site operations
• Inefficient workflows between office and field teams
• Challenges coordinating multi-role field activities

GeoRemo

GeoRemo delivers remote monitoring and observation services under GEOOE’s next-generation technology framework, supporting smart cities, climate, environmental, infrastructure, geotechnical, and construction applications through flexible, field-ready solutions.

GeoPhysi

Geophysical Insight & Subsurface Intelligence

GeoPore

Soil & Ground Investigation Intelligence

GeoOU

Open-access geo services supporting smart and connected environments.

Geolur

Engineering Resources & System Enablement

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