NVIDIA NeMo Curator

2 use cases using this technology · by NVIDIA

2published use cases

1industry

2countries on record

Conversational AI

top AI capability

Evidence mix: High 2 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Country

2 use cases

Government & Public SectorRetrieval-Augmented GenerationNatural Language ProcessingConversational AI

WideLabs Justice Intelligence platform makes legal services more accessible for 8 million citizens in Rio Grande do Sul, Brazil

WideLabs built the Justice Intelligence platform for the Public Ministry of Rio Grande do Sul (MPRS) in Brazil, consisting of two AI agents — the TORI Investigation Assistant and the Archiving Intelligence Assistant — plus a Citizen Access Agent for the public. The platform uses NVIDIA NeMo Retriever for RAG pipelines, NVIDIA NIM microservices for deployment, NVIDIA NeMo Curator for document preprocessing, NVIDIA NeMo Customizer for domain-specific model tuning, and NVIDIA NeMo Guardrails for safety and consistency. The system went into full production in January 2025, serving more than 8 million citizens across 497 municipalities, and per MPRS deputy attorney general João Cláudio Pizzato Sidou, procedures that could last months or years can now be resolved or advanced in less than a day.

Public Ministry of Rio Grande do Sul (MPRS)· BrazilNVIDIA NeMo Retriever · NVIDIA NIM · NVIDIA NeMo Curator +3

Government & Public SectorDocument IntelligenceConversational AIGenerative AIAgentic AI

ThinkDeep's DeepBrain AI agents help automate public services for the French government

ThinkDeep AI developed DeepBrain, a multi-agent assistant platform for France's Ministry of Economy and Finance and Ministry of Defense, built on NVIDIA AI Enterprise (NIM, NeMo Retriever, NeMo Guardrails, Llama Nemotron models) running on-premises on NVIDIA DGX H100 systems to keep sensitive data within government infrastructure and comply with the EU AI Act. DeepBrain agents process millions of PDF documents, scanned images, schemas and videos for use cases including fraud detection and legal document processing. Document retrieval time fell from two days to two minutes, a typical 100-user deployment saves 1,000 work hours per month, and the Ministry of Finance has saved €2 million deploying DeepBrain at scale to 10,000 employees.

French Ministry of Economy and Finance· FranceNVIDIA AI Enterprise · NVIDIA NIM · NVIDIA NeMo Retriever +4