DATAROCK HELPS MINING AND EXPLORATION COMPANIES WORLDWIDE DRIVE OPERATIONAL EXCELLENCE TODAY AND POSITIONS THEM FOR GROWTH TOMORROW.

Formed after many successful collaborative consulting engagements with Australian mining companies, DataRock brings domain expertise in the mining and exploration sector together with expertise in deep neural image processing algorithms and production ready software to drive new value from imagery within exploration and mining.

The Data-Rockers management team

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Liam Webb

Chief Executive Officer & Geoscientist

Email | Linkedin

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Brenton Crawford

Chief Business Development Officer & Geoscientist

Email | Linkedin

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Frank Losinno

Chief Technology Officer

Email | Linkedin

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Emma Crowl

Chief Financial Officer

Email | Linkedin

The Data-Rockers Team

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Gerd Wittchen

Machine Learning/Software Engineer

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Carwin Zimmerman

Machine Learning/Software Engineer

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Dr Gokcen Cimen

Machine Learning Engineer

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Harvey Nguyen

Data Scientist/ Machine Learning Engineer

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Dr Duy Tin Truong

Machine Learning Lead and Deep Learning Specialist

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Dr Yasin Dagasan

Data Scientist/Geostatistician/Mine Engineer


A recently formed startup that launched at AWS Summit Sydney 2019, DataRock is a joint venture between two successful Australian organisations: Solve Geosolutions , focused on providing statistical analysis and machine learning solutions to exploration and mining companies, and DiUS, focused on providing specialist services in the application of emerging technology, leveraging the great advances in artificial intelligence and machine learning to solve complex, real-world business problems, bring new ideas to market and transform business models. 

DataRock helps mining and exploration companies to extract more value from historical and modern imagery through a single platform service. It provides access to a range of geological models such as mineral vein detection and rock texture analysis. In addition, the SaaS platform has been designed to drive maximum utility through the easy addition of additional geological models for ongoing use.

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