Tunnelling Journal Showcases AI-Led Innovation by Maxwell GeoSystems
We are pleased to share that Tunnelling Journal has featured an article by Dr.Rich Laver and Dr.Angus Maxwell from Maxwell GeoSystems in its Dec–Jan edition, focusing on Natural Language AI interfaces for tunnel monitoring data.
The article explores how natural language-driven AI can fundamentally change the way engineers and project teams interact with complex geotechnical and structural monitoring datasets. By enabling intuitive, question-based access to monitoring information, these interfaces reduce dependency on specialist tools, accelerate decision making, and support safer, more informed tunnel operations.
Being featured in Tunnelling Journal, one of the most respected publications in the global tunnelling and underground construction community, reinforces the growing relevance of AI-led data interaction in critical infrastructure projects. It also reflects Maxwell GeoSystems’ continued focus on turning monitoring data into actionable intelligence for owners, designers, and contractors.
Read the full article here:
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Innovation in Instrumentation & Monitoring