Socratic Missing-Fact Coach
An AI math tutor for middle and high schoolers that, when a student gets stuck, identifies the single piece of information the problem is missing and prompts the student to ask for it before revealing the answer.
Middle and high school students and the parents helping them with word problems
- Detects 'under-specified' word problems and surfaces the exact missing variable
- Guides students with hints that teach them how to phrase a precise question, not just nudge them
- Tracks which types of missing facts the student struggles to identify (rate vs. quantity vs. unit)
- Parent dashboard that explains what the child was missing so homework help is faster
MIRA-Math shows that the hardest part of math reasoning isn't computing — it's recognizing what's not on the page; tutoring apps currently skip this meta-skill entirely.
AI tutors market valued at ~$2.1B in 2025, projected to $17.7B by 2033 at 30.5% CAGR, with parents actively seeking homework-help and math-tutoring subscriptions.AI Tutors Market Size, Share & Trends Report, 2026-2033 ↗Best Homework Help Websites for Kids in 2026 (Free & Paid) ↗
Market is crowded (Khanmigo, Photomath, Wolfram Alpha, Symbolab, Mathway, Socratic by Google, AskSia, JIE Mastery); the specific 'identify the single missing atomic fact' meta-skill from MIRA-Math is a narrow differentiator, not a wide-open category.11 Best AI Math Tutoring Tools 2026 (Step-by-Step Help) ↗Top 10 Best Math Tutoring Software: 2026 Comparison ↗
Parents already pay $15–150+/hr for math tutoring and subscribe to Khanmigo ($4/mo), Photomath Premium, and similar; proven willingness to pay for K-12 AI homework help supports a freemium/subscription model.Math Tutoring Cost Guide 2026: Pricing Breakdown by Format ↗AI-powered tutor Khanmigo by Khan Academy ↗
K-12 math is a structurally evergreen need and AI-tutor adoption is forecast through 2033+; the underlying MIRA-Math insight (recognizing missing facts) stays relevant regardless of LLM generation.AI Tutors Market Size, Share & Trends Report, 2026-2033 ↗
Buildable on existing LLMs using MIRA-Math as evaluation harness; needs curated word-problem corpus, careful prompt scaffolding, and guardrails against giving answers — moderate engineering effort, not trivial.mira-math/README.md at main · cedar-lau/mira-math ↗