Haystack Enterprise Platform - SaaS platform to build natural language processing applications
Based on the social mentions, Haystack (formerly Deepset Cloud) appears to have a strong reputation as a reliable enterprise AI platform. The platform is praised for its focus on RAG (Retrieval-Augmented Generation) architecture, which users and the company emphasize as delivering consistent value despite being less hyped than other AI approaches. Key strengths highlighted include successful enterprise implementations (like TELUS and MANZ case studies), regular product updates with enhanced features like agent tracing, and strategic partnerships with major players like AWS, Anthropic, and NVIDIA. The recent rebranding to "Haystack Enterprise Platform" and recognition as #62 in Sifted's AI 100 suggests growing market credibility, though no specific pricing sentiment or user complaints were evident in the provided social mentions.
Mentions (30d)
0
Reviews
0
Platforms
2
Sentiment
0%
0 positive
Based on the social mentions, Haystack (formerly Deepset Cloud) appears to have a strong reputation as a reliable enterprise AI platform. The platform is praised for its focus on RAG (Retrieval-Augmented Generation) architecture, which users and the company emphasize as delivering consistent value despite being less hyped than other AI approaches. Key strengths highlighted include successful enterprise implementations (like TELUS and MANZ case studies), regular product updates with enhanced features like agent tracing, and strategic partnerships with major players like AWS, Anthropic, and NVIDIA. The recent rebranding to "Haystack Enterprise Platform" and recognition as #62 in Sifted's AI 100 suggests growing market credibility, though no specific pricing sentiment or user complaints were evident in the provided social mentions.
Industry
information technology & services
Employees
82
Funding Stage
Venture (Round not Specified)
Total Funding
$45.6M
Today we’re uniting our product names and look and feel under the @Haystack_AI ecosystem — including renaming the deepset AI Platform to Haystack Enterprise Platform. The platform continues to work e
Today we’re uniting our product names and look and feel under the @Haystack_AI ecosystem — including renaming the deepset AI Platform to Haystack Enterprise Platform. The platform continues to work exactly as it does today. This update reflects how Haystack brings together open source, enterprise support, and platform capabilities. Details 👇 https://t.co/BgqGbZkC9J
View originalCongratulations to @tricalt and the team on raising the $7.5M seed round! Context engineering is one of the most important disciplines in AI, and we’re excited to celebrate this milestone from @cogne
Congratulations to @tricalt and the team on raising the $7.5M seed round! Context engineering is one of the most important disciplines in AI, and we’re excited to celebrate this milestone from @cognee_ , pushing the boundaries of context-aware AI systems with memory 🚀
View original👇 @Haystack_AI continues to enable teams to build more composable, production-ready AI systems, and the 2.24 release focuses on making pipelines simpler and cleaner.
👇 @Haystack_AI continues to enable teams to build more composable, production-ready AI systems, and the 2.24 release focuses on making pipelines simpler and cleaner.
View originalToday we’re uniting our product names and look and feel under the @Haystack_AI ecosystem — including renaming the deepset AI Platform to Haystack Enterprise Platform. The platform continues to work e
Today we’re uniting our product names and look and feel under the @Haystack_AI ecosystem — including renaming the deepset AI Platform to Haystack Enterprise Platform. The platform continues to work exactly as it does today. This update reflects how Haystack brings together open source, enterprise support, and platform capabilities. Details 👇 https://t.co/BgqGbZkC9J
View originalWe’re proud to be ranked #62 in @Siftedeu's AI 100 alongside so many transformative tech leaders. This recognition highlights our commitment to solving high-impact challenges with purpose-built AI.
We’re proud to be ranked #62 in @Siftedeu's AI 100 alongside so many transformative tech leaders. This recognition highlights our commitment to solving high-impact challenges with purpose-built AI. Thanks to our team, customers, and community for helping us achieve this milestone. See which companies are shaping Europe’s AI landscape in the full report: https://t.co/AG8RVavyMa
View original🇪🇺 Europe is building its future on Sovereign AI — with innovators who embody transparency, openness & partnership. This week the @EU_Commission welcomed @rusic_milos, CEO & co-founder of @deepset_
🇪🇺 Europe is building its future on Sovereign AI — with innovators who embody transparency, openness & partnership. This week the @EU_Commission welcomed @rusic_milos, CEO & co-founder of @deepset_ai, the creators of @Haystack_AI, to discuss the development of the AI@EC Platform — our secure, sovereign AI orchestration environment for trustworthy solutions across departments. This milestone marks an important step forward in the Commission’s AI journey — and the beginning of much more to come. Built in Europe, for Europe. #SovereignAI #AIOrchestration #Haystack #deepset #EU
View original🎙️ Catch us live this Wednesday, October 15th at 10am ET / 3pm BST / 4pm CEST for a hands-on session with @Haystack_AI experts Bilge Yücel and Dr. Julian Risch to learn how Haystack Enterprise helps
🎙️ Catch us live this Wednesday, October 15th at 10am ET / 3pm BST / 4pm CEST for a hands-on session with @Haystack_AI experts Bilge Yücel and Dr. Julian Risch to learn how Haystack Enterprise helps teams bring production AI to life faster and more securely. You’ll learn to: ✨ Deploy confidently with Helm charts and best-practice guides ✨ Accelerate iteration with pre-built templates for RAG, agents, and multimodal workflows ✨ Stay ahead of threats with security-focused features like prompt injection countermeasures 👉 Save your seat: https://t.co/HfRjvVblGO
View originalIn our latest success story, @TELUS_AGCG shares how they built an 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗰𝗵𝗮𝘁𝗯𝗼𝘁 𝘄𝗶𝘁𝗵 @Haystack_AI (𝗯𝘆 𝗱𝗲𝗲𝗽𝘀𝗲𝘁), enabling real-time, secure access to trade promotion insig
In our latest success story, @TELUS_AGCG shares how they built an 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗰𝗵𝗮𝘁𝗯𝗼𝘁 𝘄𝗶𝘁𝗵 @Haystack_AI (𝗯𝘆 𝗱𝗲𝗲𝗽𝘀𝗲𝘁), enabling real-time, secure access to trade promotion insights through natural conversation. Under the hood: ⚙️ RAG + SQL tools working together in one agent-based architecture 🔍 Built-in guardrails for secure query and answer generation 📊 Observability and monitoring from day one with @langfuse The outcome? Faster decisions, reliable insights, and a production-ready AI system that redefines how TAC users interact with data. Read the story to explore the architecture and lessons learned 👇 https://t.co/KDWWf6NLay #RAG #Agent #AI
View original🪢 Integrating Llama Stack and @Haystack_AI to Advance Sovereign Enterprise AI We've integrated @MetaforDevs #LlamaStack with our AI Platform and open-source Haystack Framework, enabling enterprises,
🪢 Integrating Llama Stack and @Haystack_AI to Advance Sovereign Enterprise AI We've integrated @MetaforDevs #LlamaStack with our AI Platform and open-source Haystack Framework, enabling enterprises, government agencies, and defense organizations to accelerate the development of custom AI solutions. The integration allows organizations to: - Deploy open source LLMs like Llama on-premise through Llama Stack's secure inference layer - Build custom AI agents and pipelines with modular AI development tools (Haystack and deepset AI Platform) - Maintain full control, privacy, and flexibility across their AI stack deepset and Llama Stack's open, interoperable approach empowers teams to choose the right models, extend functionality with custom tools, and maintain observability across the AI lifecycle without vendor lock-in. 🔗 Get all the details in our announcement post: https://t.co/FulGbcdCRH 🧑🍳 Build an agent with Llama Stack with our Cookbook: https://t.co/pL4JzwRZf6 📖 Learn more about our Haystack integration: https://t.co/bvienvxRKn
View original⚡ 𝐍𝐨𝐰 𝐚𝐯𝐚𝐥𝐢𝐚𝐛𝐥𝐞 𝐢𝐧 𝐝𝐞𝐞𝐩𝐬𝐞𝐭 𝐒𝐭𝐮𝐝𝐢𝐨 & 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞: 𝐑𝐮𝐧 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐢𝐧 𝐈𝐬𝐨𝐥𝐚𝐭𝐢𝐨𝐧 As AI applications grow in complexity, developers need better
⚡ 𝐍𝐨𝐰 𝐚𝐯𝐚𝐥𝐢𝐚𝐛𝐥𝐞 𝐢𝐧 𝐝𝐞𝐞𝐩𝐬𝐞𝐭 𝐒𝐭𝐮𝐝𝐢𝐨 & 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞: 𝐑𝐮𝐧 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐢𝐧 𝐈𝐬𝐨𝐥𝐚𝐭𝐢𝐨𝐧 As AI applications grow in complexity, developers need better tools to debug and validate their agents and workflows efficiently. That's why we've introduced the ability to test individual components separately within our Builder. With this new capability, teams can now: • 𝐃𝐞𝐛𝐮𝐠 𝐜𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐢𝐧𝐝𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐭𝐥𝐲 - Test and validate configurations instantly without worrying about deployment • 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐞 𝐝𝐚𝐭𝐚 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧𝐬 - See exactly how data flows through each step in real-time • 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐜𝐲𝐜𝐥𝐞𝐬 - Catch issues early and iterate faster with immediate feedback This addresses a critical need for enterprise AI teams who require confidence in their workflows and agents before production deployment. By enabling component-level testing with auto-filled context and step-by-step validation through "Run Next," developers can ship reliable AI solutions faster. Learn how to run components in isolation here: https://t.co/D1WCBLjVAC
View original🚤 This week, our CEO Milos Rusic joined the 𝐙𝐮𝐊𝐨 𝐞𝐯𝐞𝐧𝐭 𝐨𝐧 𝐭𝐡𝐞 𝐒𝐩𝐫𝐞𝐞 in Berlin, where leaders gathered to discuss how AI can responsibly transform public administration in light of
🚤 This week, our CEO Milos Rusic joined the 𝐙𝐮𝐊𝐨 𝐞𝐯𝐞𝐧𝐭 𝐨𝐧 𝐭𝐡𝐞 𝐒𝐩𝐫𝐞𝐞 in Berlin, where leaders gathered to discuss how AI can responsibly transform public administration in light of the 2025 coalition agreement. The discussions spanned public trust, infrastructure and digital sovereignty, organizational change, deployment strategies, and governance. Milos emphasized a key point: 𝐬𝐨𝐯𝐞𝐫𝐞𝐢𝐠𝐧 𝐀𝐈 𝐢𝐬 𝐧𝐨𝐭 𝐚 𝐝𝐢𝐬𝐭𝐚𝐧𝐭 𝐯𝐢𝐬𝐢𝐨𝐧 𝐚𝐧𝐲𝐦𝐨𝐫𝐞, 𝐢𝐭’𝐬 𝐛𝐞𝐢𝐧𝐠 𝐛𝐮𝐢𝐥𝐭 𝐭𝐨𝐝𝐚𝐲. German AI startups like deepset are already enabling the public sector and defense to build 𝐦𝐢𝐬𝐬𝐢𝐨𝐧-𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥, 𝐬𝐨𝐯𝐞𝐫𝐞𝐢𝐠𝐧 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 with transparency and trust at their core. With our @Haystack_AI 𝐨𝐩𝐞𝐧 𝐬𝐨𝐮𝐫𝐜𝐞 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 and enterprise-grade tools, we help institutions move beyond prototypes to operational AI that strengthens Europe’s digital independence. Shaping a responsible and sovereign AI future for Europe requires collaboration between government, academia, and startups, and we’re proud to play our part. hashtag#SovereignAI hashtag#PublicSector hashtag#Defense hashtag#AI hashtag#ZuKo hashtag#Berlin hashtag#DigitalSovereignty
View original🚀 Introducing Haystack Enterprise: a faster path from prototype to production with expert support and best practice guidance. Haystack Enterprise is available now and includes: 🔧 Expert support fr
🚀 Introducing Haystack Enterprise: a faster path from prototype to production with expert support and best practice guidance. Haystack Enterprise is available now and includes: 🔧 Expert support from the Haystack core team 📦 Out-of-the-box templates for advanced RAG, agents, and multimodal workflows ☁️ Deployment guides across cloud & on-prem 🛡️ Early access to enterprise-grade features 💙 Open source isn’t going anywhere. Haystack remains free, open, and community-driven. @Haystack_AI Enterprise is an added layer for teams that need more speed, support, and scale. 👉 Curious to learn more? Check out the full announcement: https://t.co/0vwJHNW0Q5
View originalToday at #GTCParis we’re announcing our integration with @nvidia Enterprise AI Factory validated design, enabling production-ready AI systems tailored to enterprise requirements, delivered on-premises
Today at #GTCParis we’re announcing our integration with @nvidia Enterprise AI Factory validated design, enabling production-ready AI systems tailored to enterprise requirements, delivered on-premises. Organizations can now deploy sophisticated multi-agent workflows on NVIDIA Blackwell GPUs while maintaining complete data sovereignty with deepset and @Haystack_AI. From commercial lending automation to defense intelligence, our solution powers AI agents and workflows customized to enterprise needs. Learn more in our blog: https://t.co/95IxiQpDK5 #GTCParis at #VivaTech2025
View original📢 Excited to share our new case study with @awscloud and @AnthropicAI featuring MANZ. MANZ Genjus KI is an AI-powered legal assistant that transforms how legal professionals research, analyze docume
📢 Excited to share our new case study with @awscloud and @AnthropicAI featuring MANZ. MANZ Genjus KI is an AI-powered legal assistant that transforms how legal professionals research, analyze documents, and draft contracts. This innovative AI agent: • Thoroughly analyzes court decisions, legal texts, contracts and specialized literature • Answers complex legal questions in clear, natural language • Delivers precise, citable references and concise summaries in seconds • Efficiently assigns relevant results to files or work processes The impact has been transformative: ✅ 20% higher accuracy compared to traditional legal research tools ✅ 77% boost in search recall, empowering users to surface critical information faster Check out the full case study to learn more: https://t.co/oltJmlTok6
View original🛠️ RAG may not be the most hyped AI architecture right now. But it remains the one that delivers the most value to users. Gen AI evolves fast, but RAG remains one of the most reliable, scalable, and
🛠️ RAG may not be the most hyped AI architecture right now. But it remains the one that delivers the most value to users. Gen AI evolves fast, but RAG remains one of the most reliable, scalable, and industry-ready approaches for bringing LLMs into the real world. Whether you're building for legal, healthcare, finance, or any other highly specialized field, RAG combines LLMs with domain expertise to deliver real value. 📘 In the first chapter of @OReillyMedia new Technical Guide to RAG in production with ✨@Haystack_AI✨, you’ll learn: ✅Why Compound AI systems like RAG still power the most useful GenAI apps ✅How to build your own RAG pipeline with Haystack by deepset ✅What to consider when choosing retrievers, embeddings, and vector stores 👉 Download the guide for free and start building. https://t.co/mtJJ9h0YvD
View original📚 NEW RESOURCE: 𝙍𝙚𝙩𝙧𝙞𝙚𝙫𝙖𝙡-𝘼𝙪𝙜𝙢𝙚𝙣𝙩𝙚𝙙 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙤𝙣 𝙞𝙣 𝙋𝙧𝙤𝙙𝙪𝙘𝙩𝙞𝙤𝙣 𝙬𝙞𝙩𝙝 𝙃𝙖𝙮𝙨𝙩𝙖𝙘𝙠 by O'Reilly. Retrieval-augmented generation (RAG) has become the de fac
📚 NEW RESOURCE: 𝙍𝙚𝙩𝙧𝙞𝙚𝙫𝙖𝙡-𝘼𝙪𝙜𝙢𝙚𝙣𝙩𝙚𝙙 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙤𝙣 𝙞𝙣 𝙋𝙧𝙤𝙙𝙪𝙘𝙩𝙞𝙤𝙣 𝙬𝙞𝙩𝙝 𝙃𝙖𝙮𝙨𝙩𝙖𝙘𝙠 by O'Reilly. Retrieval-augmented generation (RAG) has become the de facto standard for ensuring the factual accuracy of generative AI models. #Haystack gives teams a production-ready LLM orchestration framework for building advanced RAG apps and AI agents. The O'Reilly Technical Guide shows how to: 🔖 Master the complete 𝗥𝗔𝗚 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 from prototype to production. 🔖 Build 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗹𝗲 𝗔𝗜 with comprehensive logging, tracing, and monitoring. 🔖 𝗦𝗰𝗮𝗹𝗲 𝗔𝗜 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 with production-ready deployment. 🔖 Ensure proper 𝗔𝗜 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲, security, and cost management. 🔖 Explore advanced capabilities like 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, multimodal RAG, and knowledge graphs. Get your free copy and start building the RAG that's right for your use case, user needs, and industry requirements today: https://t.co/3D5jW4zN3c
View originalHaystack Deepset Cloud uses a tiered pricing model. Visit their website for current pricing details.
Based on 22 social mentions analyzed, 0% of sentiment is positive, 100% neutral, and 0% negative.
