Cost
Day-school tuition has climbed beyond the reach of a widening share of families, forcing communities to choose between quality and access.
Jewish Education AI
The electric grid for
Jewish education
A shared, non-profit infrastructure that gives every Jewish learner — in any community, at any age — a study partner. Built once for the whole field: every institution shapes what it teaches, and the grid itself takes no side.
Oneshared technological core
Twotiers — in class, and beyond it
Everysetting of Jewish life
6–90the ages it accompanies
01 The Challenge
Jewish learning is not the transfer of knowledge — it is the slow shaping of a person.
It happens through dialogue, relationship, and challenge. Three structural constraints now stand between that kind of learning and most Jewish learners.
Educators
There are not enough qualified Jewish educators, and the ones in place are stretched thin by the routine work of differentiating for every learner in the room.
Reach
Millions of young Jews in the geographic periphery are simply unreached. No teacher-dependent model has ever been able to get to them.
AI is the first credible answer to all three at once
Behind all three sits the same ceiling. Jewish education at its best has always depended on an educator's working hour, and a community can fund only so many of those. No previous technology has been able to lift that ceiling. This one can.
-
On cost
Personal tutoring at a cost per learner a community can actually carry, rather than a privilege that tracks tuition.
-
On educators
Routine differentiation handled by the system, so scarce educators spend their hours on the work only a person can do.
-
On reach
A learner in a community of forty Jews gets the same companion as one in a large day school.
But commercial AI isn't built for Jewish learning
Generic AI is optimized for drills, flattering answers, and quick summaries. It can retrieve a Jewish text, but it cannot teach a learner how to argue with it.
Why Jewish education needs its own infrastructure:
- Challenge over compliance: A companion that pushes, questions, and sits with unresolved debate — rather than smoothing complexity away to please the user.
- A window that is closing: Educational AI platforms and budgets are being locked in over the next two years. If the field doesn't build now, habits will harden around commercial defaults.
- Equity across the field: Independent development is beyond any single school. A shared utility ensures every community has access, not just the best-funded.
So the answer is not less AI. It is AI built from the ground up around Jewish pedagogy — by the field, for the field.
The Jewish world can build its own shared infrastructure today, or inherit someone else's tomorrow.
02 The Grid
Not another product. A utility.
No community builds its own power station. It plugs into a grid — shared, regulated, engineered once to a standard no single participant could afford alone. JEDAI applies that logic to Jewish learning.
One shared core
A high-performance pedagogical engine — safety architecture, personalization, and avatar interface — engineered to a standard no single institution could build alone.
Content-agnostic
The core carries whichever curriculum the field loads onto it, without imposing doctrine. The first domains launch in 2027; every future domain uses the identical infrastructure.
Universal access
Built for any school, camp, campus, youth movement, or congregation. Plug in once, and the capability is live — no custom engineering required.
03 Learning
One avatar. In class, and beyond it.
Learners meet JEDAI as a single avatar that grows with them. It begins inside the classroom, where the teacher stays in command — and keeps going, past the classroom, for the rest of a learning life. In class it works as the Classroom Tutor; beyond it, as Chavruta.
Tier one · Pilots from January 2027
Classroom Tutor
A personal tutor for every student — and a teaching assistant for every educator.
No teacher can differentiate a single lesson thirty ways in real time. The Classroom Tutor allows an educator to reach every student individually: each learner progressing at their own pace, within a lesson designed and guided by their teacher.
- Teacher in command: The educator defines the goals, pace, and boundaries; the AI works strictly inside them, absorbing routine differentiation so teachers can focus on mentorship.
- Domain by domain: Co-developed with leading educational authorities in each field, beginning with Hebrew and Shoah education.
- Pilot schools: 19 schools across North America, Latin America, Europe, and South Africa — 14 in Hebrew and 5 in Shoah education — ahead of wider rollout for 2027–28.
Tier two · In design
Chavruta
A study partner for life — one that argues back.
Chavruta is the heart of JEDAI — a personal AI study companion that teaches through dialogue rather than drills: questioning, pushing, conceding, and deliberately taking the opposing side, the way a real study partner does. It does not deliver content to a learner. It thinks with them.
- Lifelong. One companion from age six to ninety, carrying what it has learned about a learner forward across years.
- Everywhere. The same partner in the classroom, at camp, on a trip to Israel, on campus, and long after.
- Connective. It also pairs isolated learners anywhere in the world as study partners — the pairing that geography has always denied them.
The moments nobody is scheduled for
Much of what forms a Jewish life happens off the schedule: the night before a trip, a late argument in a dormitory, the questions that surface long after camp ends. Even the finest educator cannot be there at two in the morning.
The commercial default: closing the query
Consider a nineteen-year-old wrestling late at night with whether to join an upcoming program, overwhelmed by headlines she doesn't know how to interpret. She turns to a commercial chatbot. It delivers a fast, confident summary of good guys and bad guys — answering the prompt, but flattening the complexity and leaving her real anxiety untouched.
The Chavruta approach: opening a relationship
Meeting her inside her own program's framework, Chavruta listens for the unease beneath the
question. Instead of collapsing debate into a quick verdict, it holds competing narratives
open and teaches her how to engage with them. And it remembers — carrying the dialogue
forward into the journey itself and long after she returns.
Where a generic chatbot closes a query, Chavruta opens a relationship.
-
Journeys to Israel
Preparation before departure, accompaniment on the ground, and reflection back home — ensuring a transformative experience doesn't evaporate on the return flight.
-
Camp and youth movements
Summer intensity is often followed by eleven quiet months. A companion bridges the gap, sustaining the relational work of counselors and educators year-round.
-
Campus and early adulthood
The years when Jewish questions become most pressing are often when institutional touchpoints fade. A study partner carries prior learning forward rather than starting over at eighteen.
-
Beyond the institutional walls
Unaffiliated families, interfaith households, and isolated communities rarely reached by traditional models gain an accessible, personal gateway to Jewish learning.
Jewish education has always been constrained by two things: the scarcity of gifted educators and the accident of geography. A companion bound to no classroom, calendar, or border doesn't just ease those limits — it lifts them.
Dialogue, not drills
Jewish learning is a relationship, not a transaction. Everything in the system is built to that.
- 01
It asks before it answers
The default move is a question that opens the problem, not a fact that closes it.
- 02
It takes the other side
Machloket — structured disagreement — is a method, not a malfunction. The partner is built to press.
- 03
It remembers
Continuity is the point. A partner who recalls what you struggled with three years ago can teach you things a fresh tutor never could.
- 04
It works inside declared values
Guardrails are set by educators and made explicit, not inferred from an engagement objective.
- 05
It defers to human beings
Where a teacher, parent, or rabbi belongs in the loop, the system routes toward them rather than around them.
04 Technology
Adaptation, not speculation.
JEDAI does not build software from an empty screen. Creating educational AI at global scale requires both deep computational engineering and authentic Jewish pedagogy. JEDAI unites them: an established, state-validated AI engine, adapted into a sovereign public utility for Jewish learning.
A proven foundation
- A battle-tested computational foundation: Rather than gambling on speculative tech, JEDAI runs on the Multi-Parameter Customization (MPC) engine developed by I-Teach, which grew out of Teachin, one of Israel's largest private education companies. In continuous classroom use, the engine tracks learners across cognitive, linguistic, and motivational parameters in real time.
- State-level technical validation: Selected for Program 720 — the joint flagship AI initiative of the Israel Innovation Authority and the Ministry of Education — the underlying engine was chosen from dozens of contenders and awarded the highest competitive funding allocation among all participating edtech firms.
- Pedagogy built before the code: The system's learning mechanics are grounded in twenty years of live classroom instruction before they were ever written in software. JEDAI adapts this proven core to the dialogic, multi-vocal nature of Jewish study — engineering an intellectual study partner, not an off-the-shelf chatbot wrapped in text.
- A sovereign public utility, delivered at cost: Commercial AI vendors lock schools into escalating per-seat licenses. I-Teach provides the engine permanently at cost, while JEDAI sets its pedagogical and ethical direction. The developers retain the engine and its code; the Jewish community holds complete ownership of everything else, including all data, values, and curricula.
2018
the year continuous use began in Israeli classrooms and learning centers
700+
partner schools deploying the engine
96.4
average score of learners taught with the MPC method on Israel's highest-level (five-unit) math matriculation exam (national average: 83.0)
Across MPC programs, learners join at an average starting point of 43/100 and reach mastery in 38% of the usual instructional time.
98%+
learner retention, with a 4.91-out-of-5 satisfaction score
More than 83,000 learners have been taught with the MPC method since 2005.
How the engine works
Most educational software adapts only to answers: get it wrong, get an easier question. MPC adapts to the learner. It maintains a continuously updated dynamic profile and adjusts in real time — not at the end of a unit, but inside the dialogue as it unfolds.
-
01
Dynamic multi-parameter profiling
Tracks up to twenty cognitive, linguistic, and motivational dimensions — knowledge gaps, learning pace, persistence, intrinsic motivation, and tolerance for difficulty. The engine immediately distinguishes between a capable student losing focus and a motivated student missing a conceptual foundation.
-
02
Real-time pedagogical calibration
Adjusts not just the difficulty of the next prompt, but the instructional register: the tone, scaffolding, and type of feedback provided. The same concept reaches a hesitant learner and an assertive one through entirely different pedagogical paths.
-
03
Longitudinal memory
Learning profiles do not reset with each login. The system retains continuity across sessions, grades, and educational settings — carrying forward how a student thinks over years.
-
04
Content-agnostic architecture
Engineered around universal cognitive mechanics rather than subject-specific rules. Proven in mathematics and sciences, it seamlessly powers language acquisition, historical inquiry, and textual debate.
What JEDAI builds on top
The computational engine is proven; JEDAI builds the relational architecture for Jewish learning. At its core sit three capabilities no commercial system provides:
- Constructive resistance (Chavruta sparring): An algorithmic companion engineered to challenge assumptions and hold debate open, rather than flattering the user with fast consensus.
- Multi-vocal textual processing: Models calibrated to navigate layered texts, competing commentaries, and pluralistic narratives without reducing them to a single conclusion.
- Values and safeguards: Communally governed guardrails ensuring developmental appropriateness, data sovereignty, and ethical alignment across streams and traditions.
05 Governance
Trust is an architecture, not a promise.
Field-wide adoption depends on structural guarantees, not good intentions. JEDAI is legally, pedagogically, and architecturally engineered so it cannot behave adversarially toward the institutions it serves.
Institutional sovereignty and neutrality
- Independent non-profit: Being established as an independent public-benefit company, structured for communal mission rather than shareholder return.
- Never a competitor: JEDAI does not recruit students, market to retail consumers, or sell to your constituents. It exists solely to power partner institutions.
- No gatekeepers or monopolies: No single partner or stream can veto another, restrict curricular perspectives, or impose ideological readings on another institution's learners.
- An educator-led council: Pedagogical boundaries, ethical standards, and safety principles are governed by the Educational Vision and Design Council, an independent body of scholars and practicing educators from across Jewish streams — while curricular authority remains strictly sovereign to each participating community.
Ethics, privacy, and child safety
- Safe and dignified by design: Built to protect minors architecturally, not just procedurally. All interactions will be pseudonymized and encrypted, with automated alerts to human educators if distress arises. Personalization relies strictly on cognitive and problem-solving steps — never on facial recognition, biometric monitoring, or inferred emotion. The platform is being built to comply with COPPA and GDPR, and every release will pass an independent technical audit.
- Independent impact evaluation: Educational outcomes and linguistic progress are evaluated by external researchers reporting to governance bodies, not technology vendors — beginning with the Hebrew pilot under Dr. Abigail Uhrman (Director of The William Davidson Graduate School of Jewish Education, JTS).
Asset stewardship and economic alignment
- Shared stewardship, sovereign content: Curricula, educational frameworks, and values guardrails are held as a shared communal asset for global Jewish education — protected by JEDAI in public trust for the Jewish people. Participating institutions retain full sovereignty over their unique voice, interpretive traditions, and student records, with portable data and permanent safeguards against vendor lock-in.
- Permanent at-cost model: Institutions pay strictly for the verified operational cost of running and sustaining the grid — compute, continuous maintenance, and independent pedagogical governance. Zero profit margins, and zero escalating licensing fees.
Initiated and incubated by
The Pincus Fund for Jewish Education Founder and incubator. Supporting creative Jewish educational projects across the Diaspora since 1977.Founding partners
06 Partners & Reach
A grid is only worth what it reaches.
JEDAI reaches learners through the organizations that already hold their trust. Your curriculum, your name, your learners — carried further than a program calendar allows.
Your content
Your educators decide what is taught, which texts, which framings. JEDAI's pedagogy is dialogic; the positions in the room are yours.
Your name
The avatar sits inside your own program, under your own branding. Participants meet it as yours, because it is.
Your domain
Every field of learning is built with the organizations that hold authority in it. You design your domain rather than receive it. JEDAI's team works alongside your educators to bring it into your programs.
Your data
Student records stay yours: portable, protected, and never sold.
Built for organizations like these
Built to carry fields of learning like these
The roadmap ahead
-
Now
Classroom Tutor in build
Running on a proven engine. Hebrew and Shoah education launch classroom pilots in January 2027 across four continents.
-
Next
Chavruta in design
An 18–20 month development cycle to build and launch the autonomous, lifelong dialogic companion.
-
Then
Field-wide scale
Progressive rollout across global partner networks — expanding into sacred text, Israel education, and peoplehood, all powered by the same shared infrastructure.
-
Ongoing
Core evolution
Continuous upgrades and model renewals, ensuring the grid perpetually keeps pace with frontier AI advances.
07 Team
Who stands behind it.
Two teams, two distinct responsibilities. JEDAI sets the educational vision, ethical standards, and implementation with field partners. I-Teach builds and operates the computational core. The structural separation ensures that technical execution always serves communal pedagogy.
JEDAI
Educational vision, values architecture, governance, and institutional implementation.
-
Dr. Shivi Greenfield
Founding DirectorFormer Chief Strategy Officer and Deputy Director General, The Jewish Agency for Israel. DPhil in political theory, Oxford University (Weidenfeld Scholar).
-
Tova Peretz
Director of OperationsGrants Director, the Pincus Fund. Over a decade leading international operations and finance at the JDC.
-
Rabbi Craig Kacev
Director of EducationDirector of Education, the Pincus Fund. Formerly General Director of the South African Board of Jewish Education and King David Schools.
-
Rabbi Tully Harcsztark
Co-Chair, Educational Vision and Design CouncilFounding Principal, SAR High School. Dean, Machon Siach.
I-Teach
Engineering leadership behind the Multi-Parameter Customization engine. Unit 8200 and Technion alumni.
-
Yair Cohen
Executive ChairmanFormer Commander of Unit 8200. Decades building and scaling deep-technology ventures.
-
Yosi Levi
PresidentBuilt Teachin over twenty years. Inventor of the MPC method.
-
Boaz Bryger
Chief Executive OfficerMathematics educator turned technology executive. Previously Qualcomm.
-
Jenny Gurevich
Pedagogical DirectorMathematics educator and teacher trainer. Leads foundational learning mechanics.
-
Dr. Ron Davidson
Chief Technology OfficerPhD, Stanford. Architect of scalable AI systems. Previously Skybox (Google).
-
Alon Fliess
VP Research & DevelopmentMicrosoft MVP. Thirty years in software architecture and applied AI.
-
Eva Shelley
Product Manager, PMOTranslates deep technology into classroom impact.
Domain leadership
Every discipline is authored alongside recognized authorities and partner networks. Leading the first deployment domains in Hebrew language and Shoah education:
-
Prof. Michael Berenbaum
Shoah educationDistinguished scholar and author; former President of the Survivors of the Shoah Visual History Foundation.
-
Fabio Redak
Hebrew languageAcademic Director, Hebrew Language Education Unit, The Hebrew University of Jerusalem.
-
Merav Tzuriel
Hebrew languagePedagogical Development Specialist; Hebrew language educator.
08 Get Involved
Built once. Then it belongs to the field.
The architecture of educational AI is being settled now, by people who are not asking what Jewish learning needs. There is a short window in which the Jewish world can build its own, on its own terms. It will not stay open.
JEDAI is being built with the schools, umbrella organizations, educators, and researchers who want a say in what a shared Jewish learning infrastructure becomes. If your organization has learners to reach, content worth carrying, or a view on how this ought to be done — that conversation is open.