TeachFX uses audio analysis and natural language processing to process classroom recordings captured on any laptop or phone. The platform automatically transcribes and segments audio into speaker categories (student, teacher, group, silence), then extracts instructional signals such as open-ended question counts, academic vocabulary usage, and specific praise events. Data is aggregated at school and district levels, enabling administrators to track instructional trends across classrooms without requiring direct observation. The system is designed with privacy-first principles — individual teacher data remains private while school-wide metrics are surfaced to leaders.