Academic Excellence Meets Industry Innovation

Born out of cutting-edge research at the University of New South Wales (UNSW), SeeRock is a spin-off company grounded in both academic rigor and practical problem-solving. Our team is embedded within the School of Minerals and Energy Resources Engineering at UNSW Sydney, where we collaborate closely with world-leading researchers and industry partners.

SeeRock was founded by a group of specialists with deep expertise in geomechanics, computer vision, system engineering, and artificial intelligence. With a strong foundation in academic research and a shared drive to tackle real-world geotechnical challenges, our team bridges the gap between the lab and the field. This unique position enables us to develop technologies that are not only innovative but also deeply aligned with industry needs in mining, geotechnical engineering, and energy resource exploration.

Our Expertise

At SeeRock, we bring together diverse technical disciplines to transform geotechnical data into actionable insight. Our expertise lies in the design and integration of hardware and AI systems that automate core analysis and rock mass characterization. From image-based fracture detection to predictive modeling of subsurface structures, we deliver advanced tools for faster, more accurate, and scalable geoscience workflows.

Backed by years of research and application at the intersection of mining engineering and AI, we offer practical solutions tailored to modern geotechnical challenges. Whether you're looking to accelerate mine planning, improve geotechnical simulations, or reduce manual interpretation errors, SeeRock delivers precision and performance through intelligent automation.

1

End-to-End Digital Core Analysis - Our system offers a comprehensive workflow—from 3D core scanning and fracture detection to rock strength testing and block-based rock mass classification—eliminating the need for multiple platforms.

2

AI-Powered Geotechnical Modeling - Using deep learning and generative models, we construct 2D and 3D Discrete Fracture Networks (DFNs) from sparse input data, enabling high-resolution predictions with minimal drilling.

3

Industrial-Grade Automation & Scalability - Designed for deployment in real exploration and mining environments, our modular scanning system, automated analysis pipeline, and integrated testing tools provide scalable solutions for large-scale projects.

Research Collaborators

UNSW
Curtin University
Adelaide University
CSIRO
CUMT
Northeastern University
Imperial College London
Chongqing University
UoW
UWA
Sydney Uni

Contact Us

Ready to up your game? Our team is available to discuss how our technology can address your specific needs. Whether you're looking for comprehensive solutions or targeted applications, we're here to help.

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