Raising: $280K Pre-Seed | Instrument: SAFE | Valuation Cap: $3M | HQ: Delaware C-Corp (Oct 2025) | Status: MVP Live, 70+ Organic Users
73% of Nigerian students fail WAEC annually. 40% of US community college students drop out. UK students struggle with GCSE maths at record levels. The pattern is global: education delivers identical content to diverse learners, causing massive failure.
A Nigerian FUTO student and a US MIT freshman studying calculus need fundamentally different explanations—different analogies, different depth, different cultural context. But Khan Academy, Duolingo, and Brilliant give them the same lesson.
That's the problem Amamihe solves. We generate completely personalized lessons in real-time based on who you are, how you learn, and where you're starting from. True adaptive learning at scale.
Education failure is a $10T global problem. The AI education market is projected to hit $75B by 2033, with conversational AI learning as the breakout experience.
2.5B students globally need personalized support. Current EdTech scales standardized content—we scale personalization. Private tutoring is an $80-125B market growing toward $200B this decade. We're making 1-on-1 adaptive tutoring affordable through voice-first AI.
Voice isn't just better UX—it's how humans naturally learn. Research shows we retain more through conversation than reading dense text. Voice crosses barriers of literacy, language, and accessibility.
Most "AI tutors" retrofitted voice onto text platforms. We built voice-first from Day 1 using Deepgram's Voice Agent API (<300ms latency, natural interruption handling). Real conversations build confidence, not just knowledge.
Amamihe isn't just an idea—it's shipped, tested, and validated:
✅ Adaptive Onboarding: Captures country, education level, grade, learning style (storytelling/technical), complexity preference
✅ Pre-Assessment (Optional): 5 questions, no scores—understand baseline without pressure
✅ Deepgram Voice Agent: Real-time speech-to-speech conversation, <300ms latency, Claude Sonnet 4 reasoning layer, interruption handling