Civil Engineering Preference Dataset
In developmentExpert evaluation of AI-generated civil engineering responses using structured star-based scoring for technical accuracy, reasoning, safety, constructability, and clarity.
A focused catalog of engineering and healthcare AI products currently being developed by SouthxTech
Expert-reviewed preference datasets for civil engineering and project delivery AI.
Expert evaluation of AI-generated civil engineering responses using structured star-based scoring for technical accuracy, reasoning, safety, constructability, and clarity.
Expert evaluation of AI-generated project management responses using structured star-based scoring for planning, schedule, risk, cost, communication, and decision quality.
Domain-specific dataset development, AI model evaluation, benchmark development, and human expert review are available as custom-scoped services.
SouthxMed develops expert-generated clinical case datasets created by qualified healthcare professionals for medical AI training, evaluation, and clinical reasoning. Our initial portfolio focuses on General Practice, Pediatrics, and ENT.
Expert-generated primary care cases covering common presentations, clinical assessment, differential diagnosis, management decisions, referral considerations, and structured clinical reasoning.
Expert-generated pediatric cases covering patient presentation, clinical assessment, differential diagnosis, management decisions, and structured clinical reasoning.
Expert-generated otolaryngology cases covering common ENT presentations, diagnostic reasoning, treatment considerations, management decisions, and clinical reasoning.
Tell us the medical specialty, case volume, complexity, required fields, delivery format, and intended AI use case. SouthxMed can coordinate qualified healthcare professionals to develop a dataset tailored to your project.
Join SouthxTech as a contributor and apply to participate in expert-led AI dataset and evaluation projects.