
1. Technology overview
Eedi is an education technology organisation registered in London, United Kingdom, that builds AI-powered assessment and diagnostic tools for mathematics. Its stated mission is to measurably improve learning outcomes for a billion students by 2030, by identifying the specific misconceptions behind student errors rather than only marking answers right or wrong.
The core is the Diagnostic Engine, an AI infrastructure that third-party learning tools and large language models can call through an API or MCP. Products built on it include DQR, a quiz-based tool that diagnoses a whole classroom with one smartphone, and Eedi Tutor, an AI maths tutor that starts a Socratic dialogue only after a student makes a specific error.
2. Highlighted features & specifications
- Diagnostic Engine: AI infrastructure that detects the misconception behind each error.
- DQR: low-tech quiz tool that assesses a whole class with one smartphone.
- Eedi Tutor: Socratic AI maths tutor triggered by specific student errors.
- Developer access: API and MCP routes to embed diagnostics in other tools.
- Teacher site: Eedi School for classroom quizzes and reports.
- Evidence programme: randomised controlled trials run by an in-house evidence team.
3. Potential application
Vietnamese edtech companies can embed the Diagnostic Engine into maths practice apps to detect misconceptions. Schools with few devices can run class-wide diagnostic quizzes through DQR. Education publishers can add misconception-based feedback to digital textbooks.
4. Benefits
Teachers see the misconception behind each wrong answer, not just a score. DQR needs only one smartphone per classroom, which suits schools with limited devices. Developers can embed diagnostics in their own products through an API or MCP. The company reports a gold EDUEvidence certificate based on independently verified randomised controlled trials.
5. Market trends & opportunities
Education buyers increasingly ask for evidence of impact and for AI that explains why students fail rather than only grading. Diagnostic layers that plug into existing learning tools are relevant to Vietnam and Southeast Asia, where schools and publishers add AI practice to national textbooks and device access can be limited.
6. Other information
Eedi LTD, London, United Kingdom (Gates Foundation grant record). Grants listed by the Gates Foundation in 2026: USD 1,849,553 over 24 months (August 2026) for numeracy AI infrastructure in Sub-Saharan Africa and USD 1,500,000 (June 2026) for an open knowledge graph of maths misconceptions. HundrED K-12 innovation 2026 listing and joined India's ShikshaNext accelerator, per the website.
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