Roxi continuously monitors concrete test data, maturity calibrations, and mix performance in real time. Whether flagging issues or validating results, Roxi provides quality oversight without adding labor.
By aligning every mix to real-world performance, Roxi decreases unnecessary cement per cubic yard, helping producers cut material costs while reducing embodied carbon – all without compromising strength or quality.
Roxi is Giatec’s AI-powered algorithm that drives concrete performance insights, mix optimization, and advanced analytics. Roxi leverages a vast dataset covering 100 million cubic yards of concrete and thousands of raw materials. Roxi is embedded across Giatec’s smart concrete ecosystem, continuously analyzing real-world concrete data to eliminate human error and improve confidence in performance accuracy.
By predicting concrete properties and optimizing mix proportions without compromising performance, Roxi helps reduce cement usage, costs, and CO₂ emissions, while empowering faster, more confident decision-making across operations.


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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