Haystack Enterprise Platform Expansion: Control AI Agent Costs and Improve Quality

At NVIDIA GTC Berlin 2026, deepset announced an expanded Haystack Enterprise Platform designed to unify the development, deployment, monitoring, optimization, and governance of AI agents. Built on the open-source, model-agnostic Haystack framework, the platform supports modular agent workflows, version-controlled production services, serverless scaling, execution tracing, and cost reporting across models, agents, services, and workspaces. Production insights are intended to help teams identify failures, inefficiencies, and unnecessary spending, while planned evaluation and recommendation features will support cost- and quality-focused improvements subject to human approval. The platform also provides role-based access controls, workspace management, and a Gateway for standardized access to agents, tools, and skills, with deployment options spanning managed cloud, European sovereign cloud environments, and self-hosted infrastructure. Alongside the expansion, deepset introduced custom model services for government, defense, and regulated sectors, helping organizations develop task-specific decision models and small language models that customers own.

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