About
Eedi is an AI-powered educational intelligence platform focused on transforming how students learn math at scale. At its core is a proprietary diagnostic engine — described as the world's most accurate for mathematics — that pinpoints specific student misconceptions in real time and guides targeted remediation without requiring additional tests or tools. The platform operates across two primary modes: Eedi Inside, a B2B infrastructure layer that enables publishers, LLMs, and learning platforms to embed precision diagnostics into their own products; and Eedi School, a classroom-ready tool giving teachers deep instructional insights. The system is model-agnostic, designed to enhance efficacy for a wide range of AI tutoring tools, assessments, and curricula. Eedi has conducted multiple AI Tutor Randomized Controlled Trials (RCTs), including a second in partnership with Google DeepMind's research team, and has earned gold EDUEvidence certificates for statistically significant learning impact verified through independent trials. It was also named to HundrED's 2026 Global Collection of the world's 100 most impactful K-12 innovations. The platform is used and endorsed by researchers at Cornell, Vanderbilt, and the University of Massachusetts Amherst, and is committed to open science and data collaboration. Eedi's mission is to help one billion children learn more effectively by 2030, making it a compelling solution for edtech companies, school districts, curriculum publishers, and AI developers working in the education space.
Key Features
- World-Class Math Diagnostic Engine: Eedi's core AI engine is designed to be the most accurate diagnostic system for mathematics, detecting precise student misconceptions rather than just marking answers right or wrong.
- Real-Time Misconception Resolution: The platform identifies and resolves student misconceptions during learning sessions, providing targeted feedback that improves outcomes without adding extra tests or disrupting lessons.
- Eedi Inside Infrastructure: A system-agnostic infrastructure layer that publishers, AI tutoring platforms, and LLM-based tools can integrate to bring diagnostic precision to their own products.
- Evidence-Based AI Tutoring RCTs: Eedi conducts Randomized Controlled Trials (RCTs) in partnership with institutions like Google DeepMind to verify and improve the efficacy of its AI tutoring approaches.
- Eedi School Classroom Tool: A teacher-facing product that delivers diagnostic instructional intelligence directly into the classroom, enabling sharper instructional decisions without requiring 1:1 student devices.
Use Cases
- A curriculum publisher integrates Eedi Inside into its digital math product to provide teachers with real-time data on student misconceptions, reducing the need for standalone assessment tools.
- A school district deploys Eedi School to give math teachers diagnostic insights into each student's understanding during lessons, enabling differentiated instruction without additional testing.
- An AI tutoring platform uses Eedi's diagnostic engine via API to improve the precision of its feedback and recommendation engine, boosting student learning outcomes.
- An edtech research team partners with Eedi to conduct a Randomized Controlled Trial evaluating the impact of AI-driven misconception detection on student math performance.
- A foundation model provider collaborates with Eedi to ground its math tutoring LLM in evidence-based diagnostic data, making AI responses more pedagogically effective.
Pros
- Rigorously Research-Validated: Eedi has earned gold EDUEvidence certificates from independently verified RCTs, providing schools and partners with high-confidence evidence of learning impact.
- Strong Research & Industry Partnerships: Collaborations with Google DeepMind, Cornell, Vanderbilt, UMass Amherst, and Imagine Learning lend Eedi exceptional credibility in both academia and the edtech industry.
- Flexible B2B Infrastructure Model: The Eedi Inside layer allows other platforms and products to benefit from Eedi's diagnostic engine without rebuilding it, enabling broad ecosystem impact.
- Real-Time, Curriculum-Embedded Intelligence: Diagnostic insights are delivered in the flow of instruction, meaning no extra assessments are needed — reducing friction for both teachers and students.
Cons
- Currently Math-Focused: Eedi's diagnostic engine is primarily built around mathematics, limiting its immediate applicability to other subjects or broader general education use cases.
- Enterprise & Institutional Orientation: The platform is primarily designed for publishers, school districts, and AI platform partners rather than individual students or independent tutors, which may limit direct consumer access.
- Pricing Transparency: There is no publicly listed pricing, making it difficult for smaller organizations or independent schools to quickly evaluate cost before reaching out.
Frequently Asked Questions
What is Eedi's diagnostic engine?
Eedi's diagnostic engine is an AI system designed to identify specific mathematical misconceptions held by individual students in real time. It goes beyond simple right/wrong scoring to pinpoint exactly where and why a student is struggling, enabling more targeted and effective learning interventions.
Who is Eedi designed for?
Eedi serves multiple audiences: K-12 schools and teachers through Eedi School, and edtech companies, publishers, LLM providers, and AI tutoring platforms through the Eedi Inside infrastructure layer. It is particularly suited for organizations looking to embed high-quality math diagnostics into their own products.
What is 'Eedi Inside'?
Eedi Inside is Eedi's B2B infrastructure offering that allows third-party platforms — including AI tutoring tools, learning management systems, and curriculum publishers — to integrate Eedi's diagnostic engine into their own products via an API or partnership model.
Has Eedi's effectiveness been independently verified?
Yes. Eedi has earned gold EDUEvidence certificates for demonstrating statistically significant learning impact through independently verified Randomized Controlled Trials (RCTs). It has also conducted a second AI Tutor RCT in partnership with Google DeepMind's research team.
What subjects does Eedi currently support?
Eedi's diagnostic and AI tutoring capabilities are currently focused on mathematics (K-12 math). The platform is built around identifying and correcting math-specific misconceptions, though its infrastructure model could potentially be extended to other domains in the future.
