The First Artificial Intelligence Program for Concrete Testing

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Minimize Human-Error

Roxi’s algorithm automatically detects anomalies in concrete strength testing and verifies inputted maturity calibration data to assess accuracy of results.


Reduce Cement Usage

Concrete mix proportions are analyzed by Roxi to help optimize strength gain, lower costs, and reduce cement usage and resulting CO2 pollution.
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Analyze Mix Performance

Roxi evaluates the specified strength, slump, and air content of concrete mixes and provides producers with insights into optimizing their mix designs.

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New & Exciting Insights Into Concrete Curing

Roxi was the first artificial intelligence (AI) program created for concrete testing. It was developed in conjunction with the Montreal Institute of Learning Algorithms (Mila), Quebec’s World-Renowned Artificial Intelligence Institute. Roxi provides new insights into concrete performance by using machine learning algorithms. The program was built for Giatec’s patented, award-winning SmartRock® wireless concrete sensor. SmartRock has been used in over 6,200 construction projects across 45 countries, giving Roxi access to millions of data points to analyze.


  • Eliminate human-error and increase confidence in accuracy of strength test results
  • Reduce cement usage in concrete mixes and CO2 pollution
  • Proactively detect maturity calibration errors
  • Predict concrete properties and automatically detect pouring time
  • Set-up proactive custom alerts and smart notifications for different thresholds
  • Optimize mix proportions without compromising concrete setting time or strength development

Meet Our AI Council Members

See Roxi in Action With the SmartRock 3 Sensor

Giatec SmartRock sensor

Roxi has been developed with the help of funding received by Sustainable Development Technology Canada (SDTC) and the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP).

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