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Introducing Haystack Enterprise Platform: Uniting Our Enterprise AI Offering Under One Name
Today we're introducing Haystack Enterprise Platform, the next evolution of what was previously known as the deepset AI platform.
REPORT
deepset Recognized as a Gartner® Cool Vendor
Access the Gartner Cool Vendors in AI Engineering report by Arun Chandrasekaran, Manjunath Bhat, Arup Roy, George Brocklehurst.
GUIDE
Playbook: Outcomes-Based AI
AI prototyping laid the groundwork. Now it’s time to deliver measurable impact. This guide is your strategic framework to scale AI with purpose and prove ROI.
Blog
Building AI Agents with LLMs
LLMs are the reasoning units behind business-ready AI agents – Learn how to enhance them with decisioning and actions in a Compound AI system.
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The AI regulatory tug-of-war: Caught between state and federal mandates
"Unlike the EU, where penalties flow from a single AI framework, in the U.S. the biggest risk isn't a single AI fine, it's stacked enforcement. Companies can face state-level penalties, federal enforcement under existing consumer and civil rights laws, and civil litigation, all tied to the same AI system," said Milos Rusic, co-founder and CEO at deepset, a company that builds tools for custom enterprise AI and natural language processing apps.
From Hype to Production: How Milos Rusic Is Advancing Sovereign AI With Haystack
The GenAI race is shifting from model hype to applied systems that deliver business outcomes. According to Milos Rusic, the co-founder and CEO of deepset, the winning layer is AI orchestration, which connects models to company data and workflows, with evaluation, observability, and governance.
The Orchestration Layer Enterprises Need: Inside deepset’s Approach to Reliable AI Applications
Organizations exploring generative AI often find that impressive model demos do not automatically translate into reliable results in production. What determines success is the infrastructure surrounding the model. This is the focus of deepset and its open-source framework, Haystack, which are designed to help enterprises build AI systems that actually reach deployment.
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Whitepaper: Einsatz- und Akzeptanzanalyse von KI-basierten Wissenszugängen in KMU am Beispiel einer semantischen Suche
Das KIWise-Whitepaper 2025 hebt hervor, dass viele KMU immer noch Schwierigkeiten haben, den Schritt vom Bewusstsein für KI zur Umsetzung von KI zu vollziehen. Lesen Sie den Leitfaden, um zu erfahren, welche konkreten Maßnahmen KMU ergreifen können, um wirkungsvolle KI-Anwendungen erfolgreich einzusetzen.
Gartner® Predicts 2026: AI Sovereignty
AI Sovereignty has evolved from a strategic consideration into an operational imperative. Download the Gartner® report to learn how to architect AI systems on an open, modular platform to effectively meet sovereign AI requirements across data, models, and infrastructure.
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Ask me anything about building AI apps and agents, or about deepset's AI solutions.
Deepset is a company that creates machine learning products, particularly focusing on natural language processing (NLP) solutions. Their main offering is Haystack, an open-source NLP framework designed for building search systems, question-answering applications, and knowledge-based systems. Here's a breakdown of how Deepset’s product typically works:
Deepset is a company that creates machine learning products, particularly focusing on natural language processing (NLP) solutions. Their main offering is Haystack, an open-source NLP framework designed for building search systems, question-answering applications, and knowledge-based systems. Here's a breakdown of how Deepset’s product typically works:Deepset is a company that creates machine learning products, particularly focusing on natural language processing (NLP) solutions. Their main offering is Haystack, an open-source NLP framework designed for building search systems, question-answering applications, and knowledge-based systems. Here's a breakdown of how Deepset’s product typically works:
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