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Deepset

AI · Berlin, Germany · Founded 2018

AI orchestration framework for building enterprise LLM applications MoreLess

Deepset GmbH is an enterprise software company that provides tools for developers to build production-ready artificial intelligence (AI) and natural language processing (NLP) systems. The company was founded in Berlin, Germany, in June 2018 by Milos Rusic, Malte Pietsch, and Timo Möller. The founders identified the potential of NLP to transform enterprise operations early on. Initially, the company was bootstrapped and focused on providing professional services, building bespoke AI solutions for enterprise clients to solve a range of problems, including search engine development, classification systems, and process automation.

Deepset is the creator and maintainer of Haystack, an open-source Python framework for building custom AI agents and applications with large language models (LLMs). The initial version of Haystack was released in November 2019. Haystack allows developers to implement pipelines for various AI architectures, such as retrieval-augmented generation (RAG), intelligent document processing (IDP), and semantic search over large data collections. The framework is model- and vendor-agnostic, integrating with providers like OpenAI, Mistral, Anthropic, and Cohere.

On top of the open-source framework, deepset offers commercial enterprise solutions. Haystack Enterprise Platform (formerly deepset Cloud) is a subscription-based SaaS product that supports the entire development lifecycle, from prototyping and experimentation to deployment, monitoring, and governance. It offers a visual pipeline builder, expert templates, and can be deployed in the cloud, on-premise, or in air-gapped environments. The company also provides Haystack Enterprise Starter, which includes enterprise support, production templates, and deployment guidance. Deepset serves a diverse range of industries, including finance, legal, government, and manufacturing, with clients such as Airbus, Siemens, The Economist, and the European Commission.

Deepset has raised a total of $46 million in funding. A Series A round of $14 million was announced in April 2022, led by GV (formerly Google Ventures). This was followed by a $30 million Series B round in August 2023, led by Balderton Capital. The company has received recognition as a Gartner Cool Vendor in AI Engineering in 2024.

Keywords: AI orchestration, large language models, natural language processing, Haystack framework, retrieval-augmented generation, RAG, intelligent document processing, semantic search, enterprise AI, developer tools, custom AI solutions, multimodal AI, AI agents, question answering, deepset Cloud, production-ready AI, LLM applications, open-source AI, enterprise software, AI pipeline

Company overview

Deepset company information

The essential company record, classifications and operating signals in one place.

Status
Operational
Founded
2018
Headquarters
Berlin, Germany
Employees
84
Open positions
9
Dealroom signal
81.8
client focusb2btechnologyArtificial IntelligencetechnologyDeep TechtechnologyMachine LearningtechnologyDeep LearningtechnologyNatural Language Processingbusiness modelSaaSsectorOpen SourcesectorSpeech RecognitionsectorCore AIsectorGenerative AIsectorMLopssectorgenAI Operation LayersectorHard Tech

Valuation & funding

Deepset funding history

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
EARLY VCEquity / VC Aug 2023 $30M $120M GV · Harpoon · Balderton Capital · System.One
SERIES AEquity / VC Apr 2022 $14M $56M Mustafa Suleyman · Emil Eifrem · System.One · Spencer Kimball
SEEDEquity / VC Mar 2021 $1.6M $6.4M System.One · Lunar Ventures
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Financials

Revenue, earnings and profit over time

Reported history and available estimates. Estimated years are marked “E”; sparse fields are left blank rather than inferred.

YearProfitMargin
2026 −$720K
2025 −$720K
2024 −$720K
2023
2022
2021
2020
Company filings, research estimates and Dealroom dataOpen the full financial model →

Growth signals

Deepset website traffic

Latest recorded traffic for Deepset is 130K monthly website visits, down 13.3% over the last three months. Deepset's team grew 5% over the past year.

Latest monthly visits130K 3-month web change-13.3% 1-year team growth+5%
Monthly website visits93 observations · Jun 2018–Jul 2026
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Comparisons

Deepset compared with similar companies

Dealroom’s weighted taxonomy model identifies the closest operating peers. Company identity and context stay open; selected comparison metrics preview what is available in the platform.

Showing 8 of the closest matchesCompare every metric →

Talent graph

Deepset's talent

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Team profiled 16 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 3 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

16 investors on Deepset's cap table

Sourced from Dealroom's funding and investor records. Investor profile links are shown where available.

Seed 2 investors entered at this stage
System.One
Lunar Ventures
Series A 8 investors entered at this stage
GV
Mustafa Suleyman
Emil Eifrem
Spencer Kimball
Harpoon
Acequia Capital
Alexander Ratner
Balderton Capital
Other known 6 additional known investors
Charlie Songhurst
Jan Oberhauser
MK Venture Capital
Nvidia Inception
STARTPLATZ
Tiny Supercomputer Investment Company

Global footprint

Where Deepset has talent and traffic

Workforce by country
12 countries with
team presence
🇩🇪 Germany63.8%
🇪🇸 Spain7.3%
🇬🇧 United Kingdom7.3%
🇵🇱 Poland4.3%
🇮🇹 Italy4.3%
Top 5 of 12 shown

In the news

Latest news about Deepset

Recent press, funding announcements, and product moves mentioning Deepset — open to read from the original sources.

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Market sentiment

What the market is saying about Deepset

An AI-synthesized read of the highest-engagement posts about Deepset on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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