Deploy secure, private, white-label AI tutors and auto-quizzes trained exclusively on your textbooks — with zero out-of-bounds answers.
Pick a curriculum, ask the tutor, and watch it cite the exact page — then refuse anything off-syllabus. Toggle Arabic to see the full RTL experience.
Illustrative, pre-recorded content (Kepler · cardiac anatomy · Python). No live model calls leave the sandbox.
AI is core the way mobile is to Uber — not a chatbot bolted onto a school website.
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Tap any node to inspect each agent. All four collaborate inside a single tenant-isolated orchestration — the architecture, not a prompt wrapper.
Answers are constrained to the academy’s own uploaded textbooks — no open web, no invented sources. Every response carries a page citation.
Each academy is a hard-walled tenant. Embeddings, data, and models never cross between schools — isolation at the data layer, not just the UI.
An Apache-2.0 open core (github.com/hesham88/fahem) earns trust; the enterprise layer adds white-label, multi-tenant control, SSO, and SLAs.
Every surface below is a prototype of the multi-tenant product — admin, teacher, and student. It isn’t shipped yet. The open core is live today.
The same swarm that tutors students also prospects, drafts outreach, and enforces guardrails on our own business plane — with every consequential action staged for human approval.
Illustrative business-plane activity — no billing, revenue, payment, or customer data. Fahem Enterprise is pre-revenue, pre-traction.
Start as a founding pilot. Annual prepay = 2 months free.
A single academy validating the wedge with one or two curricula.
Growing academies scaling the tutor across many subjects and teachers.
Usage-based pricing for large rollouts and multi-campus networks.
No setup fees · cancel anytime · founding pilots are partners, not line items.
We’re onboarding 5 academies for the first pre-seed wave — hands-on setup, direct line to the founders, and pilot pricing locked in.
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