Education AI requires age-awareness and academic-integrity audit the model cannot enforce.
Educational AI deployments have constraints that don't apply to enterprise or consumer use. K-12 deployments require age-appropriate content routing and FERPA-aligned family-of-record audit. Higher-education deployments require academic-integrity-aware routing and institution-specific honor-code enforcement.
Bridge Edu adds these primitives to Bridge Workspace: age-tier routing (K-5, 6-8, 9-12, undergraduate, graduate), academic-integrity awareness configured per institution honor code, family-of-record audit aligned to FERPA, and the institution-specific context modules under Bridge Context.
Adopted by 38 institutions across K-12 districts, higher-education systems, and adjacent education services. The Bridge Edu deployment pattern is documented and reusable across institution types.
Three steps from prompt to decision.
Age-tier routing
Every user is mapped to an age tier at SSO time. Routing rules differ by tier: K-5 vs 6-8 vs 9-12 vs undergraduate vs graduate. Content, escalation thresholds, and audit visibility all vary by tier.
Academic-integrity awareness
Each institution configures its academic-integrity policy at deployment scope. Bridge Edu flags interactions that approach integrity boundaries (assignment-completion, exam-context, citation-generation) per institution rules. Flags route to faculty escalation.
FERPA-aligned family-of-record audit
K-12 deployments ship with FERPA-aligned family-of-record audit by default. Higher-education deployments toggle FERPA depending on student-record handling. Audit-trail visibility levels are configurable per institution.
Where Bridge Edu lives in production.
K-12 districts
School districts deploying AI in student services, family communication, or operations with FERPA and age-appropriate constraints.
Used by a regional school district for student-services intake routing.
Higher-education systems
Universities and college systems deploying AI in academic services, student services, or research-support workflows.
Used by a state university system for academic-services AI across 12 campuses.
Specialized education services
Specialized education providers: tutoring services, test-prep, language-learning, professional-development.
Used by a national tutoring service for student-tutor matching and conversation review.
Education-adjacent services
Adjacent services: educational publishers, ed-tech platforms, accreditation bodies.
Used by an educational publisher for student-content AI under institution-specific honor codes.
What ships in every deployment.
One endpoint between your application and any model.
curl https://api.brevortech.com/v1/edu/route \
-H "Authorization: Bearer $BREVOR_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Help me understand this physics problem.",
"user_id": "student_22841",
"age_tier": "9_12",
"integrity_policy": "district_honor_code_v2"
}'