We propose to develop a fully-functional implementation of BenchtopAI, an advanced but user-friendly suite of AI/ML tools for semi-automated multifactorial experimental design and analysis. Such a system will overcome human cognitive limitations in highly multivariate problem spaces and enable dramatically improved (4-5 orders of magnitude) depth of understanding and relevance of results, for less than 5% of the time and cost it would take to collect and analyze such information using current best-practice methods.