AccessEd isn't a chatbot wrapped around your files. It's an architecture built for learning.
Your documents aren't just uploaded. They're indexed, embedded, and mapped for precise retrieval. Every answer traces back to an exact page.
Upload PDF
Text extraction + chunking
Semantic Embedding
Vector representations per chunk
Context Retrieval
Most relevant passages found
Verified Answer
Cited response with page numbers
AccessEd doesn't rely on predefined topics. It extracts concepts directly from your questions and builds a living model of what you know and what you don't.
Quizzes aren't random. They're generated based on your weaknesses, weighted by how recently you've studied each concept, and scored to update your proficiency in real time.
Detect weak concepts
From quiz history + knowledge graph
Weight question pool
Prioritize struggling areas
Update proficiency
Real-time mastery adjustments
Every wrong answer is captured, not discarded. Your Mistake Journal builds a persistent record of what tripped you up, so you can revisit, relearn, and close the gap.
Wrong answer captured
Question, your answer, and correct answer saved
Re-tested automatically
Same concept appears in next quiz
Corrected and updated
Proficiency rises when you get it right
Six steps between your upload and mastery. All of it happens automatically.
Drop your textbook, lecture notes, or slides
Semantic embeddings for accurate retrieval
Citation-verified answers from your documents
Topics detected from your conversations
Questions targeted at your weak spots
Real-time proficiency updates per concept
Your study materials are personal. AccessEd is built so your data stays yours. Isolated, encrypted, and never shared.
Your files are isolated per user. No cross-user data mixing, ever.
File hashing and validation before any processing begins.
Study offline with Apple's on-device models. Your data never leaves your phone.
Distinguished Winner
Cupertino, CA
Native iOS experience
Dual intelligence architecture