customer story

Apni Pathshala - Scaling Impact to 50 Lakh+ Students

Empowering 50L+ students across 100+ community learning pods with visibility, accountability, and AI-driven control.

company

Apni Pathshala

Location

India

Industry

Education

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“Scogo AI’s platform transformed our operational reality. We went from chaos to complete control, from zero visibility to actionable insights. Now we can truly scale quality education to millions of students.”

Dr. Malpani

Director

Apni Pathshala set out to democratize learning for underserved communities across India, operating hundreds of shared computing pods for students. As the program expanded, managing thousands of devices remotely became a major challenge—causing disruptions, idle resources, and no way to track real learning engagement.

The Challenge
  • Frequent machine lockouts as students created admin accounts and blocked access for others.

  • No visibility into online activity or resource utilization across distributed pods.

  • Lack of accountability — shared devices made it impossible to trace user actions.

  • Inconsistent learning outcomes due to unmonitored device usage and content access.

Scaling was impossible without visibility, governance, or automation.

The Solution: Iceberg Platform + SIA Agent

Scogo AI deployed a four-layer solution combining visibility, governance, and intelligent automation:

  1. Nexus RMM — Remote monitoring and management of all devices across 100+ pods.

  2. SIA Platform — Student identity tracking in shared systems, enabling individual accountability.

  3. SafeInternet — Browser-level control and content governance ensuring safe, focused learning.

  4. AI Integration — Browsing insights powering personalized learning recommendations via the Ekalavya LMS.

The Impact
  • 100% lockout elimination — no more lost learning hours from unauthorized access.

  • Full visibility — real-time monitoring of every student session and device.

  • Personalized learning — data-driven recommendations improving engagement.

  • Optimized utilization — idle or underused machines identified and repurposed.

  • Scalable infrastructure — ready to support millions of learners efficiently.

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