We are a collective of programmers, data engineers, and researchers dedicated to helping the research community make sense of complex and irregular datasets. Our members come from diverse backgrounds in database theory, information science, and machine learning. What unites us is a shared belief that high-quality, well-structured data is foundational to scientific progress.
Our expertise lies in converting flexible-schema formats—such as JSON, logs, and agentic conversation data into clear, reliable relational tables. We believe relational models remain one of the most transparent and enduring ways to understand information. By transforming messy or irregular data into structured forms, we enable researchers to perform rigorous analysis, share results confidently, and build reproducible workflows.
We collaborate with universities, labs, nonprofits, and independent researchers. Our mission is simple: bring clarity to complex data so that better research can happen.