Continuous manufacturing offers advantages over traditional batch methods, including agility, efficiency, and sustainability. However, transitioning to continuous manufacturing in process development is challenging due to the need for early adoption of industrial-scale equipment. Conversely, batch processes require extensive scale-up studies before commercialization, which continuous processes can avoid. A more efficient approach is to use batch trials in early development to design formulations and processes for continuous manufacturing, requiring assessment of their transferability. This study compares the dissolution behavior of immediate-release tablets manufactured via batch and Continuous Direct Compression (CDC), using ibuprofen, a BCS Class II drug. A Design of Experiments (DoE) approach varied formulation properties and tensile strength, with three methods: i) similarity factor ([f2]), ii) Weibull model fitting and Partial Least Squares (PLS) regression, and iii) Gaussian Process Regression (GPR) to assess the transferability of batch trial data and dissolution models for CDC formulation and process design. Dissolution profiles were identical between batch and CDC trials when formulations and tensile strength matched, with differences observed only due to deviations in actual tensile strength. The PLS model indicated minimal impact of operational modes on dissolution behavior. The GPR model based only on batch trial data predicted CDC dissolution profiles with a mean R2 of 0.910 and RMSE of 4.88%. Overall, the transferability analysis confirmed the predictive capacity of the developed model using batch trial data on the dissolution behavior of tablets manufactured via a CDC line.