deepset Brings Custom AI Agent Orchestration to NVIDIA Enterprise AI Factory

Enterprises need AI solutions that deliver measurable outcomes for their specific business challenges. deepset specializes in helping organizations build custom AI applications and agents that integrate seamlessly with their unique processes, data, and operational requirements. 

Today, we're excited to announce that deepset's enterprise AI platform and open-source Haystack AI framework are now aligned to the NVIDIA Enterprise AI Factory validated design, bringing together deepset's proven AI orchestration capabilities with NVIDIA Blackwell accelerated infrastructure for deploying agentic AI workloads on-premises.

From Simple Applications to Orchestrated Agentic AI Systems

While early AI implementations focused on deploying individual models for specific tasks, today's organizations need comprehensive AI systems that can coordinate multiple models, data sources, and business processes into cohesive workflows. This evolution from isolated AI tools to orchestrated AI systems represents the next frontier of enterprise automation.

deepset has been at the forefront of this transformation, pioneering AI orchestration through our platform and the open-source Haystack framework. Our validation on NVIDIA Enterprise AI Factory now brings this orchestration expertise to on-premises infrastructure, giving enterprises the performance and control they need to deploy sophisticated AI systems at scale.

Validated Solution Architecture

This solution combines deepset's AI orchestration technology with NVIDIA Enterprise AI factory validated design.

deepset AI Platform & Haystack Framework Components:

• Advanced AI Orchestration: Built on the proven Haystack open-source framework, enabling rapid development and deployment of sophisticated, production-grade AI workflows
• Agent Development Tools: Toolkit for building, testing, debugging, and deploying AI agents that can safely interact with multiple data sources and systems
• Model Management: Flexible deployment and management of diverse model types including large language models (LLMs), retrievers, rerankers, optical character recognition (OCR), guardrail models, extraction models, and vision models – across different AI providers and infrastructure configurations
• On-Premises Deployment: Full control over data, models, and AI workflows within enterprise infrastructure
• Enterprise Controls: Governance for AI workflows including tracing, observability, audit logging, and role-based access controls (RBAC)

deepset is natively Integrated with NVIDIA AI Enterprise:

• NVIDIA NeMo: NeMo Retriever for efficient, multimodal information retrieval at scale, NeMo Guardrails microservice to enhance the safety, security, and reliability of LLM-based applications; NeMo Evaluator microservice to streamline the evaluation of generative AI models, including LLMs and retrieval-augmented generation (RAG) systems
• NVIDIA NIM: High-performance, scalable, and secure microservices with flexible integration and industry-standard APIs to self-host state-of-the-art AI models 
• NVIDIA Dynamo Platform: Universal, high-performance AI inference platform delivering low-latency, scalable, and efficient model serving across any framework, architecture, or deployment scale.

deepset is validated on NVIDIA Blackwell GPUs, the latest-generation NVIDIA’s accelerated computing architecture providing unprecedented performance for AI workloads

Powering Secure Multi-Agent Workflows at Enterprise Scale

Together, deepest and NVIDIA’s solution ensures the highest performance and security standards for:

• Multi-Agent Orchestration: Deploy specialized agents that work together – one agent might handle data retrieval, another performs analysis, while a third generates responses, all coordinated through Haystack pipelines
• Enterprise System Integration: Use Model Context Protocol (MCP) servers to connect agents with existing databases, APIs, CRM systems, and business applications, creating seamless workflows that span your entire technology stack
• Scalable Pipeline Architecture: Leverage Haystack's building-block approach to create reusable components that can be combined into new use cases, from simple document processing to complex multi-step reasoning workflows
• Data Sovereignty: Deploy on-premises on NVIDIA Blackwell to maintain control and meets compliance requirements

Real-World Use Cases & Applications

• Financial Services
  
  • Commercial Lending Automation: Transform complex multi-modal data from borrower applicants into fast, accurate credit decisions by automating the due diligence analysis and decisioning process.
  • Insurance Sales Support:  Enable brokers with real-time, contextual product and policy support—boosting productivity, improving policy recommendations, and delivering value fast, even in complex environments.
  • Investment Deep Research:  Create multi-agent systems that analyze market data, regulatory filings, and news sources to generate investment insights.
• Public Sector & Defense
  
  • Real-time Defense Decisioning: Deploy AI agents that process intelligence data from real-time feeds and classified sources to support tactical and strategic decision-making in the field.
  • Proposal and Grant Approvals: Automate funding evaluation workflows that assess multi-document submissions against regulatory criteria, streamlining approval processes while ensuring compliance.
• Retail & Consumer Goods
  
  • Supply Chain Analysis: Build agents that monitor supplier performance, inventory levels, and market conditions to optimize procurement decisions.
  • Customer Support: Deliver conversational agents that access product catalogs, order histories, and knowledge bases to resolve complex customer inquiries.

Ready to build custom AI agents on NVIDIA Enterprise AI Factory? Contact us to discuss your specific use case and deployment requirements: https://www.deepset.ai/contact-us