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Institutional Spec Adaptive AI & STEM Catalyser Spec v1.0

Catalyser Dedicated IIT-JEE Tutor Model

Adaptive AI & Entrance Preparation System (DBERT x Catalyser Strategic Partnership)

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System overview

Architecture & Core Mechanics

This enterprise specification establishes the operational framework for deploying dedicated on-premise IIT-JEE Adaptive AI Tutor models. Developed with our operational hub in Indore, Madhya Pradesh in strategic partnership with Catalyser (https://www.catalyser.in/), it defines the hardware requirements, high-difficulty question-bank vectorization, fine-tuned behavioral checkpoint lineages, and local air-gapped SLA commitments for JEE Main and JEE Advanced entrance preparation.

Engineering Highlights & Capabilities

  • ✓
    Operational Hub in Indore, Madhya Pradesh (Catalyser Strategic Partnership: https://www.catalyser.in/).
  • ✓
    Dedicated adaptive learning models tailored for IIT-JEE Main, Advanced & Olympiad problem solving.
  • ✓
    Strict Two-Pillar Knowledge vs Behavior governance with symbolic math and physics evaluators.
  • ✓
    On-premise hardware specification for standard CPUs with zero GPU dependency.
Quality assurance

Verification & Test Telemetry

● Active Strategic Partnership · Signed SLA · Indore Operational Hub

Stack components

Technology Blueprint

IIT-JEE Engine
Catalyser Curriculum
LoRA Checkpoints
Symbolic Evaluators
Open source

Repository Access

Access source code, architectural test harnesses, and documentation under the Gayatri-Education organization.

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Interested in deploying or contributing?

Our products are deployed across universities and enterprise pilots. Get in touch with our engineering team.

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