The operating system
for schools.
Run the whole school on one platform — admissions to accounting — with a governed AI layer across every department.
AI-powered across
every function
Every module exists. None operate independently.
Every action is informed by the same AI intelligence system.
Not a system of records.
An intelligence system for learning.
Traditional systems report what happened — a grade, an attendance mark, a completed lesson. The individual behind the data is invisible.
EIN 360 understands why — and acts on it. It builds a living model of every learner. Patterns, behavior, intent — continuously observed, continuously evolving.
No two learners move through
the system the same way.
Records report what happened
A grade submitted. An attendance tick. A lesson completed. The system stores the event. The individual behind the data remains invisible.
Intelligence understands why
Every learner has a living model — continuously built from every interaction. The system learns how the student thinks, not just what they scored.
AI agents act on it
Based on what the system understands, autonomous agents determine the next intervention — a targeted session, a difficulty adjustment, a mentor activation. No one needs to ask.
Agentic AI Architecture.
8 Autonomous Agents.
A multi-agent AI system where specialized agents observe, decide, and act — continuously and autonomously guiding every learner.
AI is not a feature. AI agents operate the entire system.
AI agent that observes behavior, performance patterns, and learning signals. Builds and continuously updates the Digital Twin.
AI agent that determines what should happen next — learning, revision, testing, pacing — based on current twin state.
AI tutor that guides understanding using Socratic reasoning. Asks the right questions. Supports thinking, not answers.
AI agent that generates adaptive evaluations. Continuously measures understanding at the concept level.
AI agent that ensures retention through spaced repetition — triggered at precisely the right interval by the twin.
AI agent that detects fatigue, confidence shifts, and motivation signals. Adjusts the learning experience autonomously.
AI agent that connects student, teacher, parent, and institution. Ensures aligned actions across all stakeholders.
Master AI agent that coordinates all other agents. Resolves conflicts and determines priority when agents intersect.
These AI agents do not operate independently. They function as one agentic system — coordinated, autonomous, continuous.
Not a system of records.
Not a dashboard of numbers.
An intelligence that understands
every learner.
PERCEIVE · UNDERSTAND · ACT
Every learner has
an AI Digital Twin
AI continuously builds an evolving model of each learner — not a static profile, but a living digital twin that learns and adapts with every interaction. Every AI agent reads from this twin. Every decision is informed by it.
What AI knows the student knows — concept by concept
How the student interacts, responds, and paces — tracked by AI
How the student thinks, eliminates, and solves — modeled by AI
Engagement, fatigue, consistency, confidence — detected by AI agents
AI-predicted progress trajectory and projected readiness
This is not a profile.
This is an AI-generated, continuously evolving understanding.
AI Digital Twin — Active
NEET 2026 · AI learning continuously
KNOWLEDGE
BEHAVIOR
Peak window: 18:00–21:00
Attention: 42 min threshold
Changes answers under pressure
28% stronger untimed
COGNITIVE
Conceptual > procedural
Spatial reasoning: strong
Elimination strategy under-used
OUTCOME
Priority: geometric optics — 6 weeks remaining
AI AGENT DECISION
Geometric optics — targeted session before Thursday. Reduce to 35 minutes. Mentor agent activated.
An AI-native platform.
Every function. One intelligence.
Learning paths adapt. Institutional workflows adjust. Every function is informed by the same AI intelligence layer — and responds continuously to what the system understands.
AI agents connected to every domain. Observing everything. Autonomously directing what comes next.
Not assembled. Not integrated. AI-native from the ground up.
Request Platform OverviewTHE LIVE SYSTEM
See the platform in action
STUDENT DIGITAL TWIN — AI ANALYTICS
AI TUTOR SESSION
One AI engine.
Every context.
The experience changes.
The AI intelligence remains the same.
School Education
AI-powered, curriculum-aligned learning within institutional structure. Teacher-coordinated, parent-visible, continuously adaptive to every student.
Competitive Examinations
The same AI tutoring engine configured for exam preparation — NEET, JEE, government services, and beyond. Socratic AI guidance, not content delivery.
Skill Development
AI-driven, goal-oriented learning paths for professionals. Session-optimized. AI agents adapt to available time and required outcomes.
Institutional Training
Staff capability development, onboarding, and compliance — governed by the same AI intelligence and reporting infrastructure.
The book replacement.
AI-native.
Textbooks are static. Notebooks are invisible. Neither knows who the student is, what they understand, or where they're stuck.
Slate replaces both — a pen-enabled AI device where every written stroke is observed by agents, every concept gap is detected in real time, and every session is guided by the Digital Twin.
Not a tablet with educational apps.
A purpose-built AI learning surface.
MDM + NAC
Distraction-free
Pen AI
Captures thinking
Offline
Works anywhere
WHO SLATE SERVES
One device. Three transformations.
Replaces textbooks and notebooks with one AI-powered learning surface.
AI pen captures how you solve — not just the answer
Adaptive AI content — no two students see the same thing
Socratic AI Tutor always present — guided reasoning, not answers
All subjects, all notes, searchable and connected to your AI Twin
Works offline — AI models run on-device
No distractions — MDM-controlled, zero access to social media or games
From paper-checker to learning strategist. AI handles observation — teachers make decisions.
Real-time AI dashboard — see every student's understanding, not just grades
AI agents flag concept gaps: "Student X confused on real vs virtual images"
No more collecting 40 notebooks — AI has already analyzed the work
Coordination Agent auto-generates parent reports weekly
AI surfaces what matters — teacher focuses on intervention, not inspection
Lesson effectiveness tracked by AI across every student interaction
Complete control. Complete visibility. Every interaction feeds the AI intelligence layer.
MDM — full device management, app restrictions, usage policies enforced
NAC — network access control, no unauthorized internet access during school
Zero distraction by design — unlike consumer tablets, nothing competes for attention
Every interaction feeds AI — building institutional intelligence over time
Complete audit trail — compliance, safety, and academic integrity
Student safety monitoring — location, usage patterns, risk signals
One device. The student's book. The teacher's window.
The institution's AI intelligence layer.
We are not building tools.
We are not building platforms.
We are building the AI
that learning runs on.
ONE AI · EVERY LEARNER · AGENTIC INTELLIGENCE
Deploy AI for your institution
EIN 360 is deployed with a structured implementation approach. Contact us to understand the AI architecture, implementation timeline, and operational fit for your institution.
School Groups & Institutions
Full AI-powered platform — SIS, LMS, operations, finance, transport, multi-agent intelligence layer.
Examination Contexts
AI Tutor and Digital Twin for competitive examination preparation at institutional scale.
Strategic Partners
AI platform licensing, integration, and co-deployment arrangements.