Teacher access is uneven
High-quality mathematics and science instruction is harder to access outside major urban centres.
AQRIVO is building a curriculum-grounded, two-way AI learning experience that turns a student’s question into a clear explanation, step-by-step reasoning, and a visual concept they can actually understand.
Great teachers are scarce, private tutoring is expensive, and passive video libraries cannot answer the question a student has right now.
High-quality mathematics and science instruction is harder to access outside major urban centres.
Families spend heavily to bridge the gap between classroom teaching and exam-ready understanding.
AQRIVO starts where recorded courses stop: the exact moment a learner asks “why?”
This is a product simulation for the investor website. The production tutor is planned around curriculum retrieval, deterministic computation for supported problems, and concept-matched visuals.
Initial velocity u = 20 m/s, final velocity at the top v = 0.
Use v² = u² − 2gh for vertical motion under gravity.
0 = 20² − 2 × 9.8 × h → h = 400 / 19.6.
The architecture is designed to combine curriculum context with computational tools and visual explanation instead of relying on a language model alone.
Instead of depending on expensive consumer advertising, AQRIVO’s planned B2B2C motion starts with schools: offer an AI Smart Lab experience, help schools extend teaching capacity, and turn classroom adoption into student distribution.
Give every student enough access to feel the product’s value. Monetize the learners who need AQRIVO every day.
Planned starter access
Planned premium access
Start with a curriculum we understand deeply. Prove the interactive learning model. Then localize the engine for South Asia and other emerging education markets.
Founder-led company building meets hands-on product and engineering execution—focused on turning the learning vision into a platform students can actually use.
Founder & CEOLeads AQRIVO’s vision, company strategy, partnerships, fundraising, and execution as the team builds an AI-native learning platform for students.
m.hasan575540@gmail.com
CTOMobile and AI product engineer with 5+ years of experience building production Android and iOS applications with Flutter, backend integrations, and AI-powered product experiences.
Technical leadership · AQRIVOProduct & AI · Curriculum · School partnerships · Infrastructure · Core team
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