<p>The ultimate bond stress (τ_u) between concrete and profiled steel is an important consideration when thinking about composite structures constructed of steel-reinforced concrete (SRC). On a larger scale, it is possible that the methodologies that are currently being used to forecast the τ_u of profiled steel-concrete may not be trustworthy. This is because these models were created using a restricted number of test data sets before their use. A database containing 269 test results from earlier studies indicates that eight input elements influence the ultimate bond stress of profiled steel-concrete. When the framework was built and assessed. To estimate, the Adaptive Neuro Fuzzy Inference System (ANFIS) was considered. The ANFIS hyperparameters, which need to be selected using metaheuristic optimization approaches, have a significant influence on its reliability. The Electric Eel Foraging (EEF) and the Mountain Gazelle (MG) are employed to do this. The ANFIS-EEF produced the lowest RMSE metric values for the learning, validation, and evaluation phases, with corresponding values of 0.0836, 0.0912, and 0.0729. A lower degree of reliability was shown by the ANFIS-MG’s training, validation, and evaluation phases, which produced values of 0.0909, 0.1049, and 0.0896, respectively, in contrast to the prior findings (8.03%, 13.06, and 18.64% higher than the ANFIS-EEF value). Both models demonstrated reliability and accuracy after evaluating the evaluation criteria, logical rationale, and percentage disparities. For its intended use, the ANFIS-EEF variation is much better than the ANFIS-MG.</p>