Case Study: The University of Kansas achieves 76% faster takeoff with Togal.AI

University of Kansas Finds Togal.AI 76% faster than OST for takeoff

The University of Kansas, seeking to enhance productivity and accuracy in its architectural engineering programs, conducted research to compare the efficiency of traditional and AI-powered takeoff software. The challenge was to quantify the potential time savings and accuracy of a new AI solution, Togal.AI, against the established manual process performed with On-Screen Takeoff.

By using Togal.AI's automated takeoff features, the university found the AI tool served as an effective starting point that dramatically accelerated the estimation process. The results from Togal.AI showed a time savings of up to 76% on a primary case study while maintaining a high degree of accuracy, with quantity discrepancies typically within a 5% margin of the traditional method. This demonstrates that Togal.AI provides substantial efficiency gains when combined with expert human oversight for review and adjustments.

The University of Kansas

Victoria V. Marulanda S.

The University of Kansas