Adaptive K-12 mathematics learning platform with AI-driven feedback and content
Mathspace runs an adaptive maths learning platform on React, TypeScript, Django and GraphQL, and is adopting Gemini alongside RAG to build LLM-based feedback and a teacher co-pilot. Hiring skews senior and product-heavy, and job posts point to content production as the bottleneck: digital textbooks, exam-style questions and lesson video are being rebuilt around AI-assisted workflows.
Mathspace is a Sydney-based education technology company founded in 2010 that personalizes mathematics practice, instruction and assessment for students. Its adaptive engine adjusts questions and topics to each learner, with step-by-step hints and video lessons tied to practice items. Teachers use it to assign custom work aligned to national curricula from several countries, and it integrates with classroom tools such as Canvas, Schoology and Google Classroom. The company employs 51–200 people and hires across Australia, the United States and Lebanon.
Mathspace builds with JavaScript, TypeScript, React, Python, Django and GraphQL, uses LaTeX for maths content, Figma and Adobe tools for design, and is adopting Gemini with RAG for AI features.
Current projects include an LLM-based maths feedback feature, adaptive hints, a teacher co-pilot tool, and digital textbooks for Australian K-6 and IB MYP/DP mathematics.
Mathspace is hiring in Australia, the United States and Lebanon, with demand concentrated in senior product and engineering roles plus education specialists.
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Mathspace's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.