Clema is an AI-powered platform designed specifically for accessing and analyzing federal higher education data through natural language queries. It serves as a co-pilot for institutional research teams and higher education professionals who need to extract insights from complex government databases.

The platform supports queries across multiple federal data sources including IPEDS (Integrated Postsecondary Education Data System), College Scorecard, and EADA (Equity in Athletics Data Analysis). Users can ask questions in plain English about enrollment demographics, graduation rates, tuition costs, financial aid data, post-graduation earnings, student debt levels, completion rates, athletics participation, coaching staff ratios, and scholarship distribution. The system provides instant peer comparisons across institutions and generates auto-generated charts with proper citations.

Clema works by allowing users to ask natural language questions instead of navigating complex government interfaces. It processes these queries and returns answers with visualizations and exportable data formats. The platform covers over 6,000 U.S. institutions with 10+ years of historical data access, delivering responses typically in under one minute.

The primary benefit is dramatically reducing research time from days to minutes while eliminating the need to download and merge multiple data files manually. Users can export query results to CSV or Excel, generate charts, and copy formatted responses directly into reports with proper citations for compliance documentation.

The product targets institutional research teams, higher education researchers, and professionals who need to access federal education data. It maintains FERPA compliance by only accessing publicly available federal data and offers SOC 2 compliance with encryption for institutions using internal data.