Executive Summary

Students preparing for Olympiads and competitive exams—most often high-school and early-college cohorts, plus the coaching centers and tutors who serve them—struggle to learn rigorous, multi-step problem solving because existing resources tend to provide final answers or brief hints rather than verified stepwise feedback, and instructors cannot scale individualized remediation. This gap affects an addressable pool of roughly 15 million test-prep users (India plus global diasporas), a market currently worth about $4.0B at an average revenue per user of $267 per year. You could build an AI-powered stepwise solver that produces pedagogically-structured, multi-step solutions with graduated hints, misconception tracking, adaptive remediation, a coach dashboard, and an integration API for coaching centers. Core technical elements would include a step verifier (symbolic/formal checks), provenance and uncertainty estimates per step, human-in-the-loop validation for new or contentious items, and secure ingestion/licensing of crowdsourced problem banks. The timing is favorable: market metrics (Market Score 92/100, Revenue Potential 88/100) and structural trends—adaptive-AI tutors that measurably improve retention and outcomes, accelerated shift-to-online coaching post-pandemic, and the growing digitization of problem banks—create demand and the data to train such a system. To stand out you must prioritize verified correctness and pedagogical design over generic explanation, co-create content with top coaches, provide audit trails and anti-cheating controls, and pursue B2B licensing to established centers; competition is medium, so execution quality and trust will determine success. Be honest about the challenges: model hallucinations, dataset licensing and privacy, potential exam-integrity pushback, and the engineering cost of production-grade verification are non-trivial but addressable if invested in up front.

Market Opportunity

AI-powered stepwise solver for Olympiad & competitive exam problems targets a $4.0B = 15M test-prep users (India + global diasporas) x $267 ARPU/year total addressable market with medium saturation and a year-over-year growth rate of 12% estimated online exam-prep growth (India).

Key trends driving demand: Adaptive-AI tutors -- personalized remediation and hinting increases efficiency and retention, improving outcomes versus static content.; Shift-to-online coaching -- accelerated post-pandemic adoption reduces friction for digital-first tutoring products.; Problem-bank crowdsourcing -- communities and coaching centers are increasingly digitizing question banks, enabling richer training data.; LLM + symbolic solvers convergence -- hybrid systems now produce more reliable mathematical reasoning and stepwise derivations..

Key competitors include BYJU'S, Unacademy, Photomath, Brilliant.org, Brainly.

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AI-powered stepwise solver for Olympiad & competitive exam problems

Executive Summary

Market Validation

Market Opportunity

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