Generative AI + Knowledge GraphsEHS✅ Completed
⚗️

Material Safety

Converting safety document libraries into enterprise intelligence — at the speed of a question

Strategic Challenge

Global enterprises manage thousands of Material Safety Data Sheets — dense, unstructured PDFs containing critical hazard, regulatory, and compliance data. Safety teams spend days on manual document review for risk assessments, audits, and incident investigations. This is not a document management problem. It is a knowledge access problem that carries real liability.

Our Solution

A Generative AI pipeline that ingests MSDS PDFs, extracts chemical entities and hazard relationships using LLMs, constructs an RDF knowledge graph in SAP HANA KGE, and exposes it via a natural language query interface. What took hours of manual review now takes seconds of conversation.

Business Impact

MSDS review time reduced from hours to seconds
Zero compliance blind spots across entire document library
Scales to thousands of documents without additional headcount

How It Works

1

LLM pipeline reads MSDS PDFs and extracts chemical entities and hazard relationships

2

RDF knowledge graph built in SAP HANA KGE with SPARQL query capability

3

Natural language query interface answers safety questions in plain English

Deployment

☁️

Enterprise cloud or on-premise · Compatible with any LLM-capable cloud environment

Technology Stack

Azure OpenAIGPT-4oLangChainSAP HANA KGERDF/SPARQLFlask APIPython
Available as SaaS

Deploy this in weeks, not months

Deploy this innovation into your environment in weeks — hosted, managed, and supported by Nexera. No long implementation cycles. No lock-in.

Bring this to your enterprise →

Let's discuss how this innovation can be adapted and deployed in your environment.

Start a Conversation