System and methods for performing quality control on a construction composition

A computer-implemented method comprising:

• receive a job specification for a construction composition, the construction composition comprising a construction mixture and a construction admixture, the job specification specifying one or more characteristics for the construction composition, the construction admixture representing one or more components configured to be added to the construction mixture before the construction composition is applied at a job site;
• accessing a components library comprising a plurality of components, each component providing a desired functional characteristic to the construction mixture, or a construction admixture;
• applying an artificial intelligence to the component library based on the job specification to select a combination of components resulting in a determined construction admixture to be implemented for the job specification;
• and
• outputting the determined construction admixture.

An apparatus comprising:

• a non-transitory computer-readable storage medium storing logic for a machine learning algorithm configured to select an additional combination of raw materials and components configured to be added to a predefined construction composition;
• a hardware interface configured to receive training data, the training data comprising a first construction composition and associated performance characteristics for the first construction composition;
• and
• a hardware processor circuit configured to:
• train the machine learning algorithm based on the training data;
• receive, via the interface, one or more performance requirements for a new construction composition, and
• use the machine learning algorithm to select a new additional combination of raw materials and components based on the received performance requirements, wherein the new construction composition is output using the interface.