Classroom intelligence that knows the child, not just the data
AttentiveKids gives teachers per-child cognitive context for every lesson, grounded in our 10-domain FINE Engine attention taxonomy.
FERPA-aligned · COPPA-compliant · Audit-logged · Built for school-grade privacy
Per-child attention profile
Every student gets a 10-domain cognitive profile from the FINE Engine, updated as they engage with brief training sessions.
Coach ACE for teachers
Teachers get specific, lesson-aware recommendations grounded in each student's profile — available before, during, and after lessons.
School-wide insight, never teacher surveillance
Aggregate dashboards for school leaders that respect teacher autonomy. No teacher rankings, no classroom-vs-classroom comparisons.
From a 10-minute session to lesson-ready insight
- 01
Students complete brief 10–15 minute attention training sessions.
- 02
The FINE Engine produces a per-child cognitive profile across 10 attention domains.
- 03
Coach ACE translates each profile into specific, actionable teaching recommendations for each lesson.
Privacy, standards, and teacher trust — by architecture, not policy
Privacy by design
Multi-tenant architecture, RLS-enforced data isolation, audit logging, and no child PII reaches the AI.
Standards aligned
Maps to MTSS frameworks (US), IB Approaches to Learning (international), and NEP 2020 competencies (India).
Teacher-respecting by architecture
No surveillance, no rankings. Teachers own their classroom data.
Research & advisory
See AttentiveKids in your school
Tell us a little about your school. Our team will reach out within 1 business day to schedule a walkthrough and discuss a pilot.