Headquarters
Berlin, GermanyFounded
2018CEO / Founder
Milos RusicEmployees
51-200Funding
Series B — $45MProducts
1 product listedAvg. AI Score
7.8/10Website
deepset.ai/Profile updated
deepset is an enterprise software company headquartered in Berlin, Germany, founded in 2018 by Milos Rusic, Malte Pietsch, and Timo Möller. The company focuses on enabling developers and data science teams to build production-grade natural language processing and AI applications, including retrieval-augmented generation (RAG) systems, AI agents, and multimodal pipelines.
The company maintains Haystack, an open-source Python framework for building NLP and AI orchestration pipelines, which has accumulated a substantial developer community on GitHub. For enterprise customers, deepset offers the Haystack Enterprise Platform, which provides additional tooling for deployment, monitoring, and management of AI applications at scale. The platform targets use cases such as document search, question answering, and conversational AI within enterprise environments.
deepset raised a Series B funding round, bringing its total funding to approximately $45 million. Investors include GV (Google Ventures) and Balderton Capital, among others. The company employs roughly 50 to 150 people across its Berlin headquarters and remote locations.
Dated, source-cited figures. Estimates are marked.
All products by deepset reviewed by our AI panel of experts.
Six independent reviewer personalities assessed deepset's product on their own terms. They disagreed by 1.9 points — The Finance Lead was the hardest to convince, The Domain Strategist the most positive.
Averaged across 1 reviewed product in our catalog. Scores are out of 10.
Who deepset competes with, and how they differ.
LangChain pairs an open-source orchestration library with the commercial LangSmith/LangGraph Platform for tracing and agent deployment, targeting general LLM app-building rather than Haystack's RAG/search specialization, and monetizes through usage-based observability tooling rather than deepset's managed enterprise deployments.
2 products reviewed on TopReviewedLlamaIndex is the closest architectural peer: an open-source data framework (also Apache-2.0) plus the LlamaCloud managed service, competing directly for RAG pipeline developers, though its commercial layer centers on document parsing (LlamaParse) rather than deepset's full agent/pipeline deployment platform.
1 product reviewed on TopReviewedVellum focuses on prompt engineering, evaluation, and low-code orchestration for product teams shipping LLM features, a different buyer than deepset's code-first, self-hostable framework aimed at ML/platform engineering teams.
1 product reviewed on TopReviewedFlowise offers a visual, no-code drag-and-drop builder for LangChain-style LLM flows aimed at indie developers and small teams, a lower technical tier than Haystack's Python-first framework built for regulated enterprise deployments.
1 product reviewed on TopReviewedKey milestones in deepset's history, with sources.
Haystack 3.0 released
deepset released Haystack 3.0, with a migration guide from 2.x and continued security patches for Haystack 2.31 through October 2026.
github.comHaystack 2.0 stable release
deepset shipped the stable release of Haystack 2.0, a ground-up architectural rewrite introducing dynamic pipelines and a split between core and community integrations.
haystack.deepset.aiSeries B — $30M led by Balderton Capital
deepset raised a $30 million Series B led by Balderton Capital, with participation from GV, Harpoon, System.One and Lunar, growing headcount from roughly 50 toward a planned 70-75 by year-end.
balderton.comSeries A — $14M led by GV
deepset raised a $14 million Series A led by GV (Google Ventures) - GV's first investment in a German startup - alongside the public launch of deepset Cloud.
gv.comHaystack framework publicly released
deepset publicly released Haystack, its open-source Python framework (Apache-2.0) for building NLP/LLM search and retrieval pipelines, in November 2019.
api.github.comFARM framework open-sourced
deepset open-sourced FARM (Framework for Adapting Representation Models), an NLP fine-tuning toolkit that preceded Haystack, in July 2019.
api.github.comdeepset GmbH incorporated in Berlin
deepset GmbH was incorporated in Berlin on June 22, 2018 by Milos Rusic, Malte Pietsch, and Timo Moeller, registered at Amtsgericht Berlin-Charlottenburg under HRB 197429 B.
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