Unblock assessment workflows with drop-in math AI

Math AI is designed for educational publishers and assessment platforms that want to enrich their math offerings with advanced AI-driven capabilities. It benefits both math assessment authors by enabling faster, more effective authoring and learners, who gain real-time feedback, step-by-step guidance, and multimodal input for a better problem-solving experience.

If you’re an existing customer, then your Customer Success Manager can bring you through the available pricing options. If you’re not yet a customer, then get in touch with us to learn more about licensing Learnosity.

We evaluate Math AI using a structured framework that measures accuracy, formatting, and relevance across datasets covering different topics and grade levels. We leverage both statistical scores and model based techniques to balance reliability and accuracy. This continuous evaluation helps refine Math AI for real-world learning.

Math AI combines large language models (LLMs) and optical character recognition (OCR) technology, allowing us to optimize for math learning while leveraging advancements in AI. We carefully select the best technology for each feature—using LLMs to generate instructional resources like hints and worked solutions, while OCR enables accurate handwriting recognition from images.

We use LLMs through leading enterprise providers, with whom we have comprehensive contractual relationships and robust data processing agreements that explicitly prohibit the use of any data submitted via the LLM APIs for model training purposes.

Alongside Math AI, our AI enabled assessment suite also includes:

• Author Aide: Speed content creation with AI assisted assessment authoring that drafts, translates, and levels questions in seconds.
• Feedback Aide: Deliver consistent results through AI powered grading that pairs rubric-driven scoring with instant, automated feedback.
• Item Bank Health Check: Quickly run bulk action item bank health checks across key categories to spot and remove bias with an integrated DEI item analyzer, support diverse representation, and ensure equitable and fair assessments.