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deepset, makers of Haystack
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deepset, makers of Haystack

@deepset_ai
Sovereign AI starts with Haystack. The platform to build, run, & govern AI agents on your own terms. Follow @haystack_ai for open-source and community updates.
Berlin, Germany
deepset.ai
Joined December 2017
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    deepset, makers of Haystack
    @deepset_ai
    Apr 16
    ⚡ We're proud to partner with @mozilla on #Thunderbolt to deliver a complete sovereign AI stack for enterprises and public sector organizations that need full control over how AI is built, deployed, and used. Together, Thunderbolt and @Haystack_AI give organizations a
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    deepset, makers of Haystack
    @deepset_ai
    Aug 4
    Work on a production-grade AI agent is never really finished. You ship it, watch how it behaves, and keep improving it. But that cycle only works if you can see what is happening inside every run. Getting that visibility often meant sending prompts, responses, and trace data
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    deepset, makers of Haystack
    @deepset_ai
    Aug 4
    The new “The Top 10 Trends In Sovereign AI, 2026” research authored by @forrester Principal Analyst Dario Maisto explores how organizations are redefining Sovereign AI not as isolation, but as architectural choice. We're proud to see deepset and the Haystack Enterprise Platform
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    deepset, makers of Haystack
    @deepset_ai
    Jul 20
    AI sovereignty has become a mainstream enterprise priority. But the conversation often centers on a single question: Where does the model run? That's only part of the story. When you deploy AI agents in production, the real value accumulates around the model: the skills that
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    deepset, makers of Haystack
    @deepset_ai
    Feb 19
    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 🚀
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    Vasilije
    @tricalt
    Feb 19
    We raised $7.5M to scale our knowledge engine that gives AI systems memory. LLMs are powerful, but they’re stateless — once a session ends, context is gone. Companies have their own context, rules and practices. There are no solutions out there that can bring this knowledge
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