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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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Context Engineering: The Next Frontier Beyond Prompt Engineering

This article explores how designing the right informational environment is the key to building sophisticated, enterprise-ready AI application and agents in 2026.

Sovereign AI: What It Is, Why It Matters, and How to Build It

This article explores the key motivations for the increasing awareness and adoption of sovereign AI systems, the underlying infrastructure and design principles, and evolving challenges and opportunities.

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.

Case studies
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YPulse

See how YPulse builds AI products for enterprise customers with AI agents

Airbus

How Airbus built a combined table and text QA system that returns accurate results in under a second

Airbus Defence and Space (KITCH)

How Airbus Defence and Space developed an AI system to safely analyze military regulations and run combat simulations, helping leaders make better decisions in complex battlefield scenarios

News
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Den KI-Standard hat er gesetzt – jetzt soll er auch halten
Milos Rusic hat einen Standard geschaffen, der Unternehmen befähigt, komplexe KI-Anwendungen einzusetzen. Trotz aller Erfolge bleibt er vorsichtig.
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.
webinars
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Scaling AI with Haystack Enterprise Starter: A Developer’s Guide

Discover how purpose-driven AI can empower editorial teams and drive measurable business outcomes.

Empowering Insurance Sales Teams in Real Time with Gen AI

Learn how insurance companies are using Gen AI to transform sales workflows and operations.

AI in Media & Publishing: Empowering Editors with AI at The Economist

Discover how purpose-driven AI can empower editorial teams and drive measurable business outcomes.

Guides
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AI R&D Enterprise Super Pack
AI Research and Development Super Pack
2024 Gartner® Cool Vendors™ Report in AI Engineering
deepset has been recognized as a 2024 Gartner® Cool Vendor in AI Engineering. We believe this recognition validates our innovative AI approach and our team's hard work in empowering enterprise AI adoption.
Gartner AI Opportunity Radar: Set Your Enterprise’s AI Ambition
Executive leaders and their teams can use the Gartner AI Opportunity Radar to investigate possible use cases and transformational opportunities for their enterprise.
Playbook: Outcomes-Based AI
AI prototyping laid the groundwork. Now it’s time to deliver measurable impact. deepset's Outcomes-Based AI Playbook is your strategic framework to scale AI with purpose and prove ROI.
data sheets
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deepset Overview: Professional Services

Build and Deploy AI Agents & Applications with Confidence

AI Lending Agent

Accelerate lending decisions with speed, accuracy, and scale

deepset Übersicht: Allgemein

Entwickeln Sie geschäftsrelevante KI-Agenten und Anwendungen, die auf Ihre Unternehmensziele zugeschnitten sind

technical deepdives
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Welcome to your
deepset AI assistant

Ask me anything about building AI apps and agents, or about deepset's AI solutions.

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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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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:
This is some text inside of a div block.

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