Date: 2026-03-15 Stage: Seed | Ask: $1.8M | Sector: EdTech
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LearnPath delivers AI-personalized learning to K-12 students through a B2B school district SaaS model. Their adaptive engine (built by an ex-Duolingo ML lead) has demonstrated +23% avg test score improvement across 12K students.
$12B US K-12 EdTech spend. Districts increasingly mandate evidence-based tools. AI personalization creates a defensible wedge vs. static curricula.
Dr. Amara Johnson brings domain credibility (Stanford PhD, Teach for America). Wei Liu built the personalization engine that served Duolingo's 300M+ users — arguably one of the best ML personalization pedigrees in EdTech.
12K students, 3 district partnerships, 94% year-over-year retention. Slower-than-typical growth due to district sales cycles (6-18 months), but retention is exceptional.
LearnPath adapts lesson difficulty in real-time for each student using ML, improving test scores 23% on average. 12K active students across 3 school districts. Seeking district expansion capital.