Nurturing Minds

AI-guided instruction ensures consistency, while educators oversee every cohort. Structured intervention data validates the model at scale.

Brightroot

How It Works

Structured intelligence for after-school learning at scale

AI Instruction

Pre-rendered avatar lessons (5-50 min) per tier. Live Q&A powered by ElevenLabs. Consistent, engaging, cost-effective at scale.

Smart Detection

Difficulties are automatically identified and reviewed. Teachers get alerts in real-time. Intervention data proves if the model scales.

Daily Reflections

Mixed-format reflections (text, voice, sketch) on collaborative walls. Teachers see thinking. Parents get visibility. Builds flexibility.

AI-Guided Instruction

Each cohort tier has a dedicated AI avatar. Lessons are pre-recorded for consistency and cost efficiency. Students ask questions. Responses are personalized in real-time.

  • Tiered lessons adapt to age group and pace
  • Live Q&A responses via text-to-speech
  • Transient failures escalate to teacher (5 min)
  • Every session transcribed and analyzed

Avatar Talking Head

Q&A Window

Student: "How do you solve for x?"

Avatar: "Let me break that down..."

Reflection Wall (Powered by Whink)

Akua - Student

I think the key insight is that systems work better when...

Teacher - Feedback

Great observation! You're thinking like an engineer.

Collaborative Reflection

Students submit daily reflections in mixed formats. Whink provides the collaborative wall. Teachers can comment. Parents see their child's thinking.

  • Text, voice recording, or sketch submission
  • Formats rotate daily to build flexibility
  • Peer discovery on shared walls
  • Parent visibility into student progress

Teacher Dashboard

Structured oversight. Real-time alerts. Intervention tracking proves deployability.

Active Cohorts

3

Interventions

47

Effectiveness

82%

Critical Alerts

2

Alert Queue • Intervention Log • Session Transcripts • Student Reports

Start Your Proof of Concept

Launch with 15 students. Collect intervention data. Prove the model scales. Then grow to 100+.

Create First Cohort