Our Methodology

Our school database is built from multiple authoritative sources, cross-referenced to ensure accuracy:

• Official school websites — primary source for programs, tuition, admissions, and facilities
• Government education databases — registration, accreditation, and compliance records
• Google Places — location verification, contact information, and photos
• Education directories — cross-referencing with established school listing services
• School administrators — verified profiles with direct data corrections and updates

Every school profile goes through a multi-stage enrichment pipeline:

1. 1Initial import — core data (name, location, grades, type) from authoritative sources
2. 2Website enrichment — AI-assisted extraction of tuition, programs, admissions, and facilities from school websites
3. 3Cross-validation — data from multiple sources is compared for consistency; discrepancies trigger manual review
4. 4Narrative generation — AI-generated summaries, descriptions, and community profiles reviewed for accuracy
5. 5Quality assurance — automated checks flag incomplete profiles, outdated tuition, and missing fields

We maintain high data quality through automated and manual processes:

• Confidence thresholds — AI-extracted data is only auto-applied when confidence exceeds 90%; lower-confidence changes require human review
• School admin verification — school administrators can claim profiles and update information directly
• Regular refresh — profiles are re-enriched periodically to catch tuition changes, new programs, and updated admissions info
• Transparent sourcing — each enriched field tracks its data source and when it was last updated