From Research Paper to Production Model
UTexas builds AI/ML technology the way science builds knowledge: through hypothesis, experimentation, peer review, and replication. Our frameworks are grounded in published research, validated by empirical evidence, and engineered for the rigor that production systems demand.
Research & Technology
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Model Evaluation Framework
A comprehensive model evaluation platform that goes beyond aggregate accuracy. Decomposes model performance into fairness, robustness, calib...
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Distributed Training Library
A training library derived from peer-reviewed research on gradient compression, communication-efficient optimization, and heterogeneous clus...
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ML Experimentation Platform
A hosted research environment with curated datasets, statistical testing frameworks, and reproducibility tooling. Designed for ML researcher...