WrdsAI provides a curriculum‑aligned AI tutoring platform for K‑12 mathematics and science, delivering textbook‑grounded lessons, quizzes, and mock tests that reduce hallucinations and ensure factual accuracy. The service includes dual age‑safety guardrails, progress analytics for students, parents, and teachers, and token‑optimisation to lower costs, offered via tiered subscription plans with defined question and token limits.
Funding
Funding not disclosed
Founders
Product
Problem
Students often rely on generic AI chat tools that provide unstructured answers, lack curriculum alignment, and can produce inaccurate or hallucinated information. Additionally, existing AI services do not incorporate robust age‑appropriate safety controls, exposing younger learners to unsuitable content.
Solution
WrdsAI offers a curriculum‑aligned AI tutoring platform for mathematics and science that delivers chapter‑by‑chapter lessons, quizzes, and on‑demand mock tests. Answers are sourced directly from textbook content, minimizing hallucinations and ensuring factual accuracy. The system includes two‑tier age‑safe guardrails that block inappropriate topics for users under 13 and under 18 before the response is generated. Progress tracking records each student’s interactions across subjects and chapters, providing analytics for students, parents, and teachers to identify learning gaps. A token‑optimisation layer reduces computational waste, lowering costs and AI‑related emissions. The service is delivered via a subscription model with tiered question limits and token allowances.
Target Audience
Primary customers are K‑12 students and their parents, as well as schools and tutoring centers seeking a safe, curriculum‑aligned AI learning companion for mathematics and science.
Features
- Curriculum‑first AI that maps questions, lessons, and assessments to specific syllabus, subject, and chapter
- Textbook‑grounded response generation to limit hallucinations and improve answer reliability
- Dual age‑safety architecture with grade‑aware topic controls and intent‑based moderation for <13 and <18 users
- Built‑in analytics dashboard showing chapter‑level mastery, progress trends, and recommended practice
- Token‑usage monitoring and optimisation to reduce latency, cost, and AI carbon footprint
- Subscription plans with defined monthly question caps and token allocations (e.g., 400‑2000 questions, 200k‑1M tokens)