High-quality, affordable data processing for agentic systems
— designed for academia.
We specialize in converting unstructured, semi-structured and flexible-schema data into well-designed relational tables that support reproducible research and analytics.
Although real-world information can be messy and multidimensional, relational database theory remains one of the most robust frameworks for organizing and understanding data. Adapting modern data sources to this framework is essential — and requires ongoing research and expertise.
We help researchers process data affordably. From agentic conversation data to a wide range of JSON, text, and log-based datasets, our team has extensive experience modeling, normalizing, and transforming data into relational form. We collaborate with researchers to ensure their data becomes clean, consistent, and ready for rigorous analysis.