Research

Research in Motion

Sprout Tech conducts research in high-impact areas of artificial intelligence, focusing on domain-specific retrieval reliability and dataset efficiency
Paper in Progress

LawRAG

Comparative research evaluating Retrieval-Augmented Generation (RAG) techniques for improving Legal AI systems

This initiative analyzes chunking strategies, dense retrieval methods, and metadata routing performance on complex statutory texts, providing academic foundations for Legal AI without exposing proprietary pipelines

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Paper in Progress

Data Condensation

Research focused on improving machine learning efficiency through intelligent data condensation techniques

Investigating algorithms that reduce dataset size while preserving model accuracy, enabling faster and more efficient machine learning

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