AI & Enterprise Knowledge

KnowledgeGrid

An enterprise-grade, source-grounded AI research assistant designed for secure internal data analysis.

The Challenge

Enterprises face significant challenges with information silos and the security risks associated with public AI tools. Traditional search engines fail to provide synthesis and deep understanding of proprietary documents, while standard LLMs often hallucinate when dealing with niche corporate data.

The Solution

We built EZ2Enlight AI Search experience but for private enterprise environments. The platform uses Retrieval-Augmented Generation (RAG) to ensure every AI response is strictly grounded in the organization's uploaded sources (PDFs, Docs, spreadsheets, and transcripts). We implemented source citations, automated audio briefings (podcasts), and a 'Chat' interface for collaborative research.

Key Results

50% reduction in time spent on document review and synthesis for R&D teams.

Eliminated AI hallucinations by enforcing strict grounding in enterprise-only data sources.

Maintained 100% data residency and privacy within the corporate cloud environment.

Improved decision-making speed by providing instant, cited answers to complex cross-document queries.

Technology Stack

Azure OpenAI (GPT-4)

Vector Databases (Azure AI Search)

RAG Architecture

Whisper AI (for Audio Briefings)

Next.js

Python Fast API

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