Hokma — from the Hebrew word for wisdom (חכמה) — is built on a simple conviction: information only matters when it becomes understanding.
Hokma began in theological education — a field where texts are dense, sources matter, and a wrong citation is a serious error. We built a reading and learning engine rigorous enough for that world: a professionally digitized library, retrieval that always traces back to the page, and AI that is never allowed to invent.
Then we realized the same rigor is exactly what every learner needs — the medical student mastering anatomy, the lawyer parsing case law, the researcher synthesizing a hundred papers, the professional entering a new field.
So Hokma grew into a general-purpose learning platform, for every subject and discipline, carrying its founding standard with it: every answer grounded, every claim cited.
Answers should be retrieved from real, vetted sources and shown with their citations — never fabricated.
AI should sharpen your thinking, not substitute for it. Hokma helps you make connections faster while you stay in control.
You decide which sources inform every answer — one book, your own documents, or a whole library.
Understanding comes from questioning, testing, and connecting — so Hokma turns every page into a place where that can happen.
Under the hood, Hokma runs an agentic AI architecture on Google Cloud. Think of it as a research team: when you ask a question, a learning supervisor coordinates specialist agents — one retrieves the most relevant passages, others summarize, translate, build quizzes, or produce audio — and assembles their work into one grounded, cited answer.
Guardrails and expert evaluation keep every response reliable. Today Hokma retrieves across hundreds of volumes in under a second, and it's architected to scale into the tens of thousands.
The whole journey takes under a second.
Every book is professionally digitized and checked; every upload is read, transcribed, and indexed — by meaning, not just keywords.
A question, a highlighted passage, or "compare these three chapters." You choose which sources are in play.
Hokma searches your allowed sources semantically and pulls the exact passages that bear on your question.
The answer is composed only from those passages. If the sources don't contain an answer, Hokma says so.
Every claim carries a numbered citation that links back to its book and page — verification is one click away.
For the technically curious: retrieval-augmented generation (RAG) with OCR-validated ingestion, vector search, and a multi-agent orchestration layer — built with Python, Angular, LangGraph, Vertex AI Gemini, Cloud Run, and Firestore.
Hokma is launching soon. Join the waitlist, or bring it to your whole institution.
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