Technology

Intelligent Adaptive
Learning System.

Obi is an IALS — the same category as Squirrel AI (UNESCO AI Innovation Award 2020), but engineered for global, multi-board deployment. Where legacy edtech delivers static content against a single curriculum, Obi combines a proprietary Knowledge Graph, Large Adaptive Models, and real-time psychometric engines to deliver instruction that adapts to every student, on every concept, in real-time.

Three pillars. One adaptive system.

Every decision Obi makes flows through three interconnected systems.

Knowledge Graph

50,000+ nodes

A proprietary curriculum graph mapping every concept, prerequisite, misconception, and exam pattern across 9 boards. The structural backbone of all intelligence.

Large Adaptive Models

Graph-aware LLMs

LLMs that reason over graph structure — not just text. They understand prerequisite chains, mastery states, and learning trajectories to generate truly adaptive instruction.

Psychometric Engines

BKT + IRT 3PL

Bayesian Knowledge Tracing estimates mastery probability per concept. Item Response Theory (3PL) calibrates question difficulty, discrimination, and guessing parameters in real time.

Knowledge Graph

The dataset no one else has.

The world's most detailed multi-board curriculum graph. Every concept, prerequisite, misconception, and exam pattern — structured, linked, and queryable.

50,000+

Concept Nodes

63,000+

Edges & Relationships

9

Curriculum Boards

15

Max Prerequisite Hops

K–12

Full Coverage

<2s

AI Response Time on 3G

AI Intelligence Stack

Not a chatbot wrapper.

A purpose-built intelligence stack combining four complementary technologies — each solving a different problem.

Large Adaptive Models (LAMs)

LLMs enhanced with graph-aware reasoning. Instead of static text generation, LAMs dynamically adapt behaviour based on KG structure, learner state, and real-time feedback. Obi is pioneering this architecture.

GraphRAG

Retrieval-Augmented Generation grounded in the Knowledge Graph. The AI navigates relationships — not keywords — for multi-hop reasoning, tracing prerequisite gaps back 15 hops to find root causes.

Graph Neural Networks (GNNs)

Learn patterns from graph topology — predicting which concepts a student will struggle with based on the structure of their mastery landscape and the KG's connectivity.

Explainable AI (XAI)

Every recommendation shows its reasoning — the prerequisite chain, the mastery data, the effect-size ranking. Teachers see why, not just what. Critical for institutional trust.

Full Ecosystem

The platform serves everyone.

Diagnostic Assessment maps each student's Mastery Vector. Smart Prep fixes the gaps. Command Centre gives teachers control. Parent Insights makes it all visible at home.

Smart Prep

Obi

Gap-only learning engine. Skips mastered content, auto-backtracks to prerequisites, drills Atomic Concepts, routes Misconception Remediation. The hero feature.

Diagnostic Roadmap

Obi

Post-diagnostic personalised path with Mastery Vector visualisation, step-by-step progression, and estimated timelines.

Command Centre

Obi

Teacher/leader dashboard: Mastery Heatmaps, pacing insights, at-risk alerts, morning briefings, predictive analytics.

Gap Finder & Analysis

Obi

Identifies mastery gaps with severity badges, prerequisite tracing, misconception panels, and one-click remediation.

Readiness Predictor

Obi

ML model extrapolating Learning Velocity against exam dates. "At this pace, will the student be ready?"

Copilot

Obi

AI assistant generating Smart Prep sessions, worksheets, insights, and Remediation Manager workflows for teachers.

Misconception Remediation

Obi

Detects specific thinking errors and deploys counter-examples, check questions, and re-explanations. Fixes the thinking, not just the answer.

Parent Insights

Obi

LLM-translated plain-language summaries: what the child learned, current focus areas, and specific home activities.

Conundrum

Obi

Curiosity-sparking knowledge probes channelling SOLE principles. Big questions that drive exploration beyond the textbook.

Coherence Map

Obi

Cross-board concept alignment visualisation showing where CBSE, ICSE, Cambridge, and IB overlap and diverge.

Analytics & Gamification

Real-Time Analytics

Learning Velocity

Concepts mastered per week and XP per session — the rate of growth, not just position.

Trajectory Prediction

on_track, at_risk, or needs_intervention. Early warning flags before small gaps become crises.

Engagement Score

Composite metric: activity frequency + completion rate + time-on-task + interaction quality.

Difficulty Vector

Multi-dimensional: cognitive load + prior knowledge depth + abstraction level + procedural complexity.

Gamification Engine

XP & Level System

10-level progression with escalating thresholds (100 → 5,000 XP). Visible advancement drives motivation.

Badges & Achievements

Streak, mastery milestone, and exploration badges. Social proof shareable with parents and peers.

Habit Loops

Cue (daily notification) → Routine (Smart Prep session) → Reward (mastery progress + XP + celebration).

Mastery Celebrations

Automated positive reinforcement at mastery level 4.0+ and Struggle Notifiers at 2.0 — dopamine at the right moment.

Cognitive Framework

Bloom's Taxonomy Integration

Every AI-generated question is classified by cognitive level — from basic recall to creative synthesis — ensuring balanced assessment across all levels of thinking.

L3

Apply

Carry out or use a procedure in a given situation

Key verbs: solve, demonstrate, calculate
MathematicsQuadratic Equations4 marks

Solve the equation 2x² − 5x − 3 = 0 using the quadratic formula.

Visualization

Student Knowledge Map

Real-time mastery visualization across every topic and subtopic — showing exactly where each student stands and what they need next.

TopicBasicsIntermediateAdvancedApplicationProblem Solving
Algebra
70%
72%
74%
91%
93%
Geometry
71%
73%
90%
92%
39%
Calculus
72%
74%
91%
93%
40%
Statistics
73%
90%
92%
39%
61%
Trigonometry
89%
91%
93%
40%
62%
Number Theory
90%
92%
39%
61%
63%
Needs Work
Developing
Proficient
Mastered

This is what adaptive learning
was supposed to be.

Not a chatbot. Not a content library. A system that knows every concept, every prerequisite, every student — and adapts in real time.