Businesses are using intelligent document processing, powered by AI agents and retrieval-augmented generation, to extract insights from various documents efficiently. NVIDIA Nemotron models have achieved strong results on leaderboards for evaluating multilingual and multimodal retrieval models, making tasks like search and question answering easier.

Document intelligence systems are revolutionizing how organizations handle high-stakes environments by understanding complex document content, handling large quantities of data, finding relevant information, and providing evidence behind answers. This shift from static document archives to living knowledge systems directly impacts business intelligence, customer experiences, and operational workflows.

In the financial services sector, Justt.ai’s AI-driven platform automates chargeback management and dispute optimization, recapturing revenue lost to illegitimate chargebacks. By automating dispute handling across properties, leading hospitality operators like HEI Hotels & Resorts maintain guest relationships while improving revenue recovery.

Docusign, a leader in Intelligent Agreement Management, is evaluating Nemotron Parse for deeper contract understanding at scale. By using advanced AI with layout detection and OCR on NVIDIA GPUs, Docusign can extract critical information from complex documents like PDFs, improving contract search, analysis, and AI-driven workflows.

Edison Scientific uses the Nemotron Parse model to extract structured information from large volumes of PDFs for its Kosmos AI Scientist tool. By indexing key concepts and improving answer quality for scientists, the tool accelerates hypothesis generation and literature review, turning a sprawling research corpus into an interactive knowledge engine.

A robust document intelligence pipeline requires technologies for data extraction, embedding, reranking, and parsing. NVIDIA’s Nemotron models handle these tasks efficiently on NVIDIA GPUs, allowing teams to scale from proof of concept to production while keeping sensitive data secure and compliant with regulations.

Developers can access step-by-step tutorials and experiment with Nemotron RAG models and the NVIDIA NeMo Retriever open library on GitHub and Hugging Face. Join the community of developers building with the NVIDIA Blueprint for Enterprise RAG to stay up to date on agentic AI and NVIDIA Nemotron developments.

Read more at NVIDIA: Nemotron Labs: How AI Agents Are Turning Documents Into Real-Time Business Intelligence