Mathpresso’s QANDA app is an AI‑powered platform that lets students capture math problems with their phone camera and receive instant, step‑by‑step solutions in multiple languages. It combines OCR and large language models to generate detailed explanations, recommend related practice items, and provide a searchable knowledge base, helping K‑12 and university learners get on‑demand math assistance anytime, anywhere.
Funding
$65.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Students often struggle to find quick, accurate explanations for math problems while studying on their own, especially when they lack access to teachers or tutoring resources. This leads to wasted time, frustration, and gaps in understanding that can hinder academic progress.
Solution
Mathpresso’s QANDA app provides an AI-driven platform that delivers step‑by‑step solutions to math questions captured via a smartphone camera. The system combines optical character recognition with large language models to interpret problems, generate detailed explanations, and suggest related practice items. Answers are delivered instantly in the user’s preferred language, supporting Korean, Japanese, Vietnamese, Indonesian, Thai, English, and Spanish. The app also tracks user activity to personalize content recommendations and offers a searchable knowledge base for broader learning. By making high‑quality math assistance available anytime, anywhere, QANDA helps students resolve doubts efficiently and build deeper conceptual understanding.
Target Audience
Primary users are K‑12 and university students seeking on‑demand math help, as well as parents and educators looking for a supplemental tutoring tool for learners in Asia and other multilingual markets.
Features
- Real‑time photo capture and OCR that recognizes handwritten or printed math problems across multiple languages
- AI-generated, step‑by‑step solution walkthroughs with visual annotations and explanatory text
- Adaptive learning engine that recommends related practice problems based on user history
- Multilingual support (Korean, Japanese, Vietnamese, Indonesian, Thai, English, Spanish) for global accessibility
- In‑app search and knowledge repository for browsing previously solved questions and topics
- Cloud‑based analytics that monitor usage patterns to improve answer accuracy and relevance