Executive Summary

The Ministry of Statistics & Programme Implementation (MOSPI) is the nodal agency for the planned development of the statistical system in India. Facing a massive archive of legacy data, MOSPI partnered with EduBild Technologies to deploy a fully on-premise, AI-driven knowledge retrieval system. This solution successfully transformed over 5,000+ complex statistical reports into a searchable, secure, and intelligent knowledge base.

The Challenge: Unlocking a Statistical Archive

MOSPI houses decades of critical data, much of which was "trapped" in non-accessible formats. The specific challenges included:

• Volume & Complexity: The repository contained over 5,000+ detailed reports, many spanning hundreds of pages.
• Legacy Formats: A significant portion of the data existed as scanned PDFs, image-based documents, and older Word files, effectively serving as "dead data" that could not be easily searched or analyzed.
• Complex Nested Tables: Unlike standard text documents, MOSPI reports are heavy with statistical data presented in multi-layer, nested tables. Standard OCR and search tools failed to interpret the relationships between rows and columns in these complex structures.
• Data Sovereignty: Given the sensitive nature of government data, utilizing public cloud models (like standard ChatGPT or Meta AI) was impossible due to security and data privacy risks.

The EduBild Implementation: What We Did

1. Deployment of In-House LLM (Data Sovereignty)
   We deployed a custom Large Language Model (LLM) directly on MOSPI's local servers. This ensured that no data ever left the ministry's premises. The AI training and inference happen entirely within their secure environment, guaranteeing 100% data sovereignty.
2. Intelligent Parsing of Nested Tables
   Our proprietary technology was specifically tuned to handle the complexity of statistical reports. We successfully digitized and structured nested tables within scanned documents, preserving the context of the data so the AI could accurately answer queries like "What was the GDP growth variation in Q3 2019 vs Q3 2023?"
3. Massive Data Onboarding & Migration
   We provided a dedicated On-Site Implementation Team. This team worked physically at the ministry to systematically clean, verify, and upload the backlog of 5,000+ reports. This ensured the system was not just an empty shell, but a fully populated, working engine from day one.

The Outcome: A Working Reality

The system is currently live and deployed, delivering tangible benefits to ministry officers:

• Instant Retrieval: Officers can now ask natural language questions (e.g., "Show me the unemployment statistics for urban areas in 2021") and receive precise answers instantly, citing the exact report and page number.
• From Hours to Seconds: Research that previously required manually flipping through thousands of scanned pages now takes seconds.
• Accuracy in Complexity: The system accurately retrieves data points buried deep within complex tables that were previously unsearchable.

Looking Ahead: Scaling Success

With the proven success and active deployment at MOSPI, EduBild Technologies is ready to replicate this model for other organizations facing similar data challenges.

We are ready to implement this solution for:

• Government Departments: To modernize archives and ensure rapid information retrieval while maintaining strict security protocols.
• Enterprises & Private Sector: To transform internal knowledge bases, technical manuals, and legacy contracts into active, searchable assets.

Transform your organization's data into an intelligent asset—securely, accurately, and instantly.