Clema

Another major feature is the unified interface that gives access to all nine federal data sources from a single platform. Instead of bookmarking multiple websites and logging in separately, users choose the desired database from Clema's menu—IPEDS, STATS (FVT/GE), College Scorecard, EADA, Pell Grant, Cohort Default Rate, DAPIP, PSEO, or Campus Safety—and then ask their questions. Each agent is specialized for its data source, so queries return accurate, structured information. This consolidation is useful because it eliminates context-switching and the need to re-learn different tools. Research that once required opening several browser tabs and cross-referencing files can now be done in minutes within one conversation. The result is a smoother, more efficient workflow for institutional researchers and compliance teams.

Clema also provides instant peer comparisons and automatically generates charts with citations. When a user asks about graduation rates, for instance, the AI can compare rates across similar institutions and display the results in a visual chart, all while citing the original data sources. This feature eliminates the manual steps of downloading data from IPEDS, merging it with peer selection criteria, and creating graphs in separate software. The auto-generated citations ensure that any data used in reports or presentations is properly attributed, saving time and reducing the risk of errors. Peer comparisons are especially valuable for benchmarking exercises, accreditation self-studies, and competitive analysis. By embedding citations directly, Clema supports rigorous academic and administrative documentation standards.

Clema operates through a conversational AI workflow. Users start by selecting a data source from the available list—each source is a specialized AI agent trained on the specific schema of that federal database. After selection, users type their question in natural language. Clema's agent processes the query, retrieves the relevant records, and returns a formatted answer often accompanied by charts and data tables. The platform covers over 6,000 U.S. institutions and provides access to more than 10 years of historical data. Average query response time is under one minute. This methodology simplifies the entire data access pipeline: from question to insight in a single conversation, without any downloads or manual calculations. The system is designed to be intuitive, requiring no training or prior knowledge of the federal databases' structures.

Concrete use cases demonstrate Clema's impact. An institutional researcher preparing an annual fact book can query IPEDS for enrollment demographics, faculty salaries, and graduation rates across peer institutions, generating charts and tables in minutes instead of days. A Title IX coordinator can use the EADA agent to extract athletics participation and scholarship data by gender, ensuring compliance with reporting requirements. A financial aid office can analyze Pell Grant disbursement totals and default rate trends to assess institutional risk. The outcome is the same: what previously required hours of navigation, downloads, and manual analysis is now accomplished through straightforward conversation. Decisions based on federal data become faster, more accurate, and less resource-intensive, freeing staff to focus on interpretation and strategy rather than data wrangling.

Clema is built for higher education professionals who regularly interact with federal data: institutional research directors, compliance and reporting officers, financial aid administrators, accreditation liaisons, and university data analysts. It is also valuable for consultants and researchers who analyze college performance, costs, and outcomes. The platform is web-based, requiring no software installation, and works with any modern browser. While pricing details are not disclosed, the tool is accessible via a free trial or subscription model. In summary, Clema transforms the way institutions access federal higher education data by replacing complex government interfaces with a simple natural language chatbot. Its core promise is turning days of research into minutes, empowering data-driven decision-making across all areas of higher education administration.