The Technology Behind ExACT
Many organizations still rely on a mix of spreadsheets, shared drives, and email to manage standards. That approach leads to version confusion, security concerns, and unnecessary inefficiencies. ExACT replaces those ad-hoc methods with a single, SaaS-based environment where standards are authored, reviewed, and published in a structured, consistent way.
Machine Learning
EdGate uses machine learning models trained on decades of curated standards and alignment data to recognize relationships between educational concepts. This helps our system continuously refine results based on feedback from our expert team.
Artificial Intelligence
AI powers the behind-the-scenes logic that helps ExACT streamline complex alignment work. By analyzing how standards are structured and related, AI assists our tools in recognizing connections that might not be obvious through manual review alone.
Natural Language Processing
NLP allows ExACT to “read” and interpret standards the way humans do. It enables our system to understand context, grade-level expectations, and subject nuances across thousands of standards documents, improving both the precision and speed of alignment suggestions.
Advanced Text Analysis
By combining NLP and machine learning, our advanced text analysis identify subtle similarities and differences between standards. This helps us detect shifts in terminology or focus areas when states update or adopt new standards.
Data Analytics
ExACT’s analytics layer gives EdGate and our clients insights into how standards align across subjects, grade levels, and states. These insights support better decision-making, from identifying where instructional materials are strongest, to planning for upcoming adoptions or revisions.
