Clema is an AI-powered platform that enables users to query federal higher education databases using natural language. It serves as a co-pilot for accessing and analyzing data from sources like IPEDS, College Scorecard, and EADA, eliminating the need for complex interfaces and manual data processing.

The platform allows users to ask questions in plain English and receive instant answers with auto-generated charts and citations. It supports queries about enrollment demographics, graduation rates, tuition costs, financial aid, post-graduation earnings, student debt levels, and peer institution comparisons. Users can export data to CSV or Excel formats and generate visualizations directly from their queries.

Clema works by providing a single conversational interface that connects to multiple federal data sources. Instead of navigating different government websites and downloading files, users simply type their questions and get structured responses with proper citations. The system handles the data retrieval, calculation, and visualization automatically.

The primary benefit is dramatically reduced research time—from days to minutes—for tasks like institutional comparisons, trend analysis, and compliance reporting. It's particularly valuable for tracking graduation rates, analyzing enrollment trends, comparing peer institutions, and preparing compliance documentation with accurate citations.

The product targets institutional research teams, higher education researchers, and professionals needing access to federal education data. It integrates with official federal databases and maintains data accuracy through regular updates aligned with government release cycles. For institutions using internal data, Clema offers SOC 2 compliance, encryption, and BAA signing capabilities.