AI-native K–12 learning · Bangladesh → South Asia

Every student deserves
a great teacher.

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.

Designed for local curriculumBangla-first interactionVisual learning
~41Mstudents in the initial Bangladesh market
৳799planned monthly premium subscription
3/dayplanned free AI questions
B2B2Cschool-led distribution strategy
The gap

Learning shouldn’t depend on a postcode.

Great teachers are scarce, private tutoring is expensive, and passive video libraries cannot answer the question a student has right now.

01

Teacher access is uneven

High-quality mathematics and science instruction is harder to access outside major urban centres.

02

Tutoring is costly

Families spend heavily to bridge the gap between classroom teaching and exam-ready understanding.

03

Video is one-way

AQRIVO starts where recorded courses stop: the exact moment a learner asks “why?”

The product

Ask in Bangla.
See the reasoning.
Understand the concept.

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.

AQRIVO Tutor
Interactive prototype
Student · বাংলা

২০ m/s বেগে একটি বল উপরের দিকে ছুঁড়লে সর্বোচ্চ কত উচ্চতায় উঠবে?

Let’s solve it togetherNCTB • Physics
01 · Given

Initial velocity u = 20 m/s, final velocity at the top v = 0.

02 · Choose the relation

Use v² = u² − 2gh for vertical motion under gravity.

03 · Solve

0 = 20² − 2 × 9.8 × h → h = 400 / 19.6.

Answerh ≈ 20.4 m
u = 20 m/sh ≈ 20.4 m
Learning engine

Built to ground answers, not improvise them.

The architecture is designed to combine curriculum context with computational tools and visual explanation instead of relying on a language model alone.

01Student questionBangla or English
02Curriculum groundingNCTB-aligned retrieval
03Reasoning toolsMath + code execution
04Explain + visualizeStep by step
Go-to-market

Acquire classrooms,
not clicks.

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.

School partnership wedgeStudent app conversionReferral-powered growth
AQRIVO
SchoolAI Smart Lab
ClassroomTeacher + AI
StudentsFree → Premium
Business model

A simple path from curiosity to subscription.

Give every student enough access to feel the product’s value. Monetize the learners who need AQRIVO every day.

Free৳0

Planned starter access

  • 3 AI questions / day
  • Core tutor experience
  • Selected learning visuals
Premium৳799/mo

Planned premium access

  • Unlimited AI questions
  • Full visual library
  • Continuous learning history
The ambition

Bangladesh is the beachhead.
Not the ceiling.

Start with a curriculum we understand deeply. Prove the interactive learning model. Then localize the engine for South Asia and other emerging education markets.

BangladeshSouth AsiaEmerging markets
Founding team

The team building
AQRIVO.

Business leadership and hands-on technology execution working together to turn AQRIVO’s learning vision into a trusted, scalable product for students, families, and schools.

Md Mahadi Hasan, Founder and CEO of AQRIVOFounder & CEO

Md Mahadi Hasan

Vision · Strategy · Partnerships · Growth

Founder leading AQRIVO from vision to market. He focuses on company strategy, partnerships, fundraising, and execution as AQRIVO builds an affordable, scalable AI-native learning platform for students.

Leadership briefLeads the why and where — company vision, market direction, partnerships, fundraising, and business execution.
mahadi@aqrivo.com
MD Mehedi Hasan Sarkar, Co-Founder and CTO of AQRIVOCo-Founder & CTO

MD Mehedi Hasan Sarkar

Product Engineering · AI Architecture · Platform

Co-founder and hands-on technology leader with 5+ years of experience building production mobile products. He leads AQRIVO’s product engineering, AI architecture, backend integration, and technical roadmap.

Leadership briefLeads the how — product architecture, AI systems, mobile experience, engineering quality, and reliable technical execution.
mhsarkar@aqrivo.com
Community feedback
Pre-Seed 2026

Building the AI learning layer for the next generation.

Opening round$1.5M

Product & AI · Curriculum · School partnerships · Infrastructure · Core team

Open investor brief