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NAVER LABS Europe

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uuid004dtbj

Namestring
NAVER LABS Europe
Legal namestring
NAVER LABS Europe
Company typeenum
Private
Founded yearint
2017
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
51–100
akta.pro rankint
HeadquartersMeylan, France
HQ citystring
Meylan
HQ countrystring
France
HQ regionstring
Europe
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI research lab, computer vision, embodied AI, natural language processing, speech processing
Industry1 code
1Instrumentation, Controls & Automation Engineering Consulting
CodeBPAHAIAMPrimaryYes
NAICS code2 codes
  • Research and Development in the Physical, Engineering, and Life Sciences54171
  • Other Scientific and Technical Consulting Services54169
SIC code1 code
  • Services-Commercial Physical & Biological Research8731
Product category
AI Research and Development
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Research Funding & Corporate R&D
TypeLicensing Royalties
Description

NAVER LABS Europe operates as a corporate research lab funded by parent company NAVER Corp. The lab conducts fundamental AI research and does not commercialize products directly. Revenue model is implicit corporate R&D investment rather than direct revenue generation.

europe.naverlabs.com
Marketing channels4 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Personnel, Technology or R&D, Operations, Infrastructure
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

NAVER LABS Europe is a corporate AI research laboratory that conducts fundamental and applied research in computer vision, natural language processing, speech processing, and embodied AI for robotics. Its deliverables are open-source models and datasets, research frameworks, demonstrator platforms, and peer-reviewed publications rather than commercial products, supporting academic, industrial, and NAVER's internal R&D needs.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • MASt3R ranked #1 in Single frame challenge track at CVPR 2024 Map-free Visual Relocalization workshop
+2 more records
Product overview1 text field

NAVER LABS Europe is a leading AI research laboratory in France that operates as part of NAVER's global AI R&D network. Rather than commercializing products, the organization focuses on publishing research, releasing open-source models/datasets, and developing demonstrator platforms. Its research portfolio spans computer vision (Multi-HMR 2, ANNY 3D human model, MASt3R-SFM, Universal Encoder), natural language processing (machine translation, SPLADE retrieval), speech processing (mHuBERT, ASR/SLU systems), and embodied AI for robotics. Key outputs include open-source tools like the Tamgu programming language, research platforms like Vital Records for historical document analysis, and foundational models shared via academic publications and GitHub repositories. The lab participates in EU research projects and collaborates with academic institutions while maintaining a strong publication record at top-tier venues (CVPR, ECCV, ACL, EMNLP, ICML).

Product and service9 records
1Multi-HMR 2
CategoryResearch Framework
Description

A unified open-source framework for human-centered scene understanding that combines multi-person detection, pose/shape estimation, accurate 3D localization, child-aware body modeling, and identity tracking in a single integrated system. Targeted at AI researchers and engineers working on embodied AI and human behavior understanding.

2ANNY (3D Human Parametric Model)
CategoryOpen-Source Model
Description

A free, open-source parametric 3D human body model covering the full spectrum of humanity from infants to elders, with interpretable and easy-to-use controls. Designed for human behavior understanding, prediction, and avatar animation, and used by researchers and developers in human-centric computer vision.

3SPLADE (Sparse Lexical and Expansion Model)
CategoryInformation Retrieval Model
Description

Sparse neural information retrieval model (SPLADE v1/v2) for first-stage ranking in search, combining lexical matching with semantic expansion to deliver effective and efficient document retrieval. Used by search and information retrieval researchers and engineers.

4Vital Records Platform
CategoryResearch Demonstrator
Description

A public demonstrator platform that uses deep learning (handwritten text recognition, table recognition, named entity recognition) to digitize and analyze handwritten historical records such as German parish records (1848-1878), enabling spatio-temporal visualization and demographic research.

5Tamgu Programming Language
CategoryOpen-Source Tool
Description

An open-source FIL (Functional, Imperative, Logical) programming language designed for corpus annotation, text generation, and data augmentation, supporting NLP workflows with rule-based pattern detection and transducer-based lexicons.

6Universal Encoder
CategoryResearch Model
Description

A universal encoder for computer vision providing unified perception capabilities for embodied AI, enabling robots to understand and interact with their 3D environment. Targeted at AI researchers in robotics and embodied AI.

7MASt3R-SFM
CategoryResearch Model
Description

A fully integrated solution for unconstrained Structure from Motion enabling 3D reconstruction from image sequences, achieving state-of-the-art results in visual localization challenges. Used by computer vision researchers and engineers.

8mHuBERT-147
CategorySpeech Model
Description

A compact multilingual HuBERT speech model covering 147 languages for speech processing tasks including automatic speech recognition, phoneme recognition, intent classification, slot filling, and spoken emotion recognition. Distributed via open-source repositories.

9ANNY-ONE Dataset
CategoryResearch Dataset
Description

A large-scale synthetic dataset for Human Mesh Recovery (HMR) model training, supporting human-centric computer vision research.

Scale indicator4 records

Each record includes

Type, Value, Description, Source

Partnership17 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2018-01-01
Description

NAVER LABS Europe was a founding member of MIAI, one of France's four 3IA institutes (artificial intelligence interdisciplinary institutes) launched by the French government. The institute focuses on AI for health, the environment and energy. NAVER LABS Europe holds lead chair on Machine Learning and Reasoning (2020-2024) for 'Lifelong Representation Learning'.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2018-01-01
Description

NAVER LABS Europe is a founding member of PRAIRIE, based in Paris. The institute focuses on AI for health, transport and the environment. NAVER LABS Europe and INRIA have co-organised several editions of the AI summer school 'PAISS'.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Ongoing collaboration with INRIA, including co-organisation of PAISS AI summer school with PRAIRIE institute. INRIA is a key academic partner in French AI ecosystem.

4SWEET (Social aWareness for sErvicE roboTs) Project
Strategic tierCoreTypeStrategic or Co-development Partner
Description

European Commission-funded Marie Sklodowska-Curie Industrial Doctoral Network project aiming to train researchers to develop robots that can understand and respond to human emotions, intentions and cultural differences. Program includes interdisciplinary studies in AI, machine learning, human-robot interaction and cognitive sciences.

europe.naverlabs.com
5UTTER (Unified Transcription and Translation for Extended Reality) Project
Strategic tierCoreTypeStrategic or Co-development Partner
Description

EU Horizon project leveraging large language models (LLMs) to build next generation multimodal eXtended reality (XR) technologies for transcription, translation, summarisation, and minuting. HORIZON.2.4 – Digital, Industry and Space funded.

europe.naverlabs.com
Strategic tierMinorTypeStrategic or Co-development Partner
Description

EU Future Emerging Technology project focused on large-scale digitization of historical documents and data. NAVER LABS Europe contributes expertise in document processing and handwritten text recognition.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

French government funded research project (ANR AAPG 2021, 2022–2025) on identifying and mitigating bias, fairness and ethics issues when compressing NLP models.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Academic research collaboration with University of Trento in Italy.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Academic research collaboration with Fondazione Bruno Kessler in Italy.

10ELLIS Unit Prague
Strategic tierMinorTypeStrategic or Co-development Partner
Description

Academic research collaboration with ELLIS Unit Prague at Czech Technical University.

europe.naverlabs.com
11Technical University of Prague
Strategic tierMinorTypeStrategic or Co-development Partner
Description

Academic research collaboration with Technical University of Prague.

europe.naverlabs.com
Strategic tierMinorTypeStrategic or Co-development Partner
Description

Academic research collaboration withIRI in Barcelona, Spain.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Academic research collaboration with University of Passau in Germany. Collaboration includes work on historical document processing (Vital Records demonstrator) with Passau Diocesan Archives.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Academic research collaboration with Nazerbayev University in Kazakhstan.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Academic research collaboration with Seoul National University in South Korea.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Academic research collaboration with University of Oxford in the UK.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Strong ongoing academic collaboration with University Grenoble Alpes, particularly through MIAI institute membership. The research lab is located near Grenoble.

Recent move8 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Premier corporate AI research lab with similar research breadth including robotics, computer vision, NLP, and multimodal AI. Comparable as a top-tier fundamental research organization publishing at leading venues, though with much larger resources and direct product integration.

TypeDirect peer
Description

Germany's flagship AI research center with comparable scope across robotics, computer vision, NLP, and speech. Comparable as a European AI research powerhouse with similar institutional positioning and EU project participation.

TypeDirect peer
Description

Corporate AI research lab with similar structure - wholly-owned subsidiary of a Japanese/Korean-origin tech conglomerate, focused on AI research with applications in imaging, robotics, and entertainment. Closely comparable in corporate R&D positioning and research scope.

TypeDirect peer
Description

Swiss AI research institute with comparable size, scope (computer vision, NLP, multimodal AI), and European academic-corporate hybrid model. Comparable as a mid-sized European AI research organization publishing at top venues.

TypeBroad incumbent
Description

Major corporate research lab with comparable scope across vision, language, speech, and systems research. Comparable as a globally distributed corporate R&D organization producing top-tier publications, though with broader research scope beyond AI for robotics.

TypeDirect peer
Description

France's primary national AI research institute and a direct partner of NAVER LABS Europe. Comparable as a fundamental AI research organization with similar publication record and French geographic footprint, though publicly funded rather than corporate.

TypeBroad incumbent
Description

Corporate AI research arm of major Asian tech conglomerate with similar scope in computer vision, NLP, and multimodal AI. Comparable in structure as an internal research lab funded by a major tech parent, though with different geographic focus and commercialization model.

TypeDirect peer
Description

Direct sibling research lab under the same NAVER Corp parent, also focused on AI for robotics, computer vision, and embodied AI. Most comparable peer given shared mission, parent funding model, and research scope.

TypeBroad incumbent
Description

Apple's AI research arm focused on fundamental research in vision, NLP, and speech. Comparable as a corporate research lab publishing at top venues, though more product-integrated and without NAVER LABS Europe's open-source orientation.

TypeBroad incumbent
Description

Large corporate AI research lab with similar scope across computer vision, NLP, speech, and embodied AI. Comparable as a fundamental research organization funded by a tech conglomerate, though with significantly larger scale and commercialization ambitions.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment1 record

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability17 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature7 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

NAVER LABS Europe

AI Research and Developmenteurope.naverlabs.com

NAVER LABS Europe firmographics

Firmographics
Name
NAVER LABS Europe
Legal name
NAVER LABS Europe
Website
https://europe.naverlabs.com
Company type
Private
Founded year
2017
Operating status
Operating
Headcount range
51–100 employees
Ownership category
akta.pro rank

NAVER LABS Europe industry classification

Industry
Product category
AI Research and Development
NAICS
Research and Development in the Physical, Engineering, and Life Sciences (54171), Other Scientific and Technical Consulting Services (54169)
SIC
Services-Commercial Physical & Biological Research (8731)
akta.pro primary industry
Instrumentation, Controls & Automation Engineering Consulting (BPAHAIAM)

Keywords

  • AI research lab
  • Computer vision
  • Embodied AI
  • Natural language processing
  • Speech processing

Where NAVER LABS Europe is headquartered

Location

Headquarters

HQ city
Meylan
HQ country
France
HQ region
Europe

Offices2 records

Markets served

NAVER LABS Europe business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Operations, Infrastructure

Revenue model

  1. Research Funding & Corporate R&D: NAVER LABS Europe operates as a corporate research lab funded by parent company NAVER Corp. The lab conducts fundamental AI research and does not commercialize products directly. Revenue model is implicit corporate R&D investment rather than direct revenue generation.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels4 records

NAVER LABS Europe product offering

Product offering

Core offering

NAVER LABS Europe is a corporate AI research laboratory that conducts fundamental and applied research in computer vision, natural language processing, speech processing, and embodied AI for robotics. Its deliverables are open-source models and datasets, research frameworks, demonstrator platforms, and peer-reviewed publications rather than commercial products, supporting academic, industrial, and NAVER's internal R&D needs.

Product overview

NAVER LABS Europe is a leading AI research laboratory in France that operates as part of NAVER's global AI R&D network. Rather than commercializing products, the organization focuses on publishing research, releasing open-source models/datasets, and developing demonstrator platforms. Its research portfolio spans computer vision (Multi-HMR 2, ANNY 3D human model, MASt3R-SFM, Universal Encoder), natural language processing (machine translation, SPLADE retrieval), speech processing (mHuBERT, ASR/SLU systems), and embodied AI for robotics. Key outputs include open-source tools like the Tamgu programming language, research platforms like Vital Records for historical document analysis, and foundational models shared via academic publications and GitHub repositories. The lab participates in EU research projects and collaborates with academic institutions while maintaining a strong publication record at top-tier venues (CVPR, ECCV, ACL, EMNLP, ICML).

Differentiator

Problem solved

Functional benefit

Products and services

  • Multi-HMR 2 A unified open-source framework for human-centered scene understanding that combines multi-person detection, pose/shape estimation, accurate 3D localization, child-aware body modeling, and identity tracking in a single integrated system. Targeted at AI researchers and engineers working on embodied AI and human behavior understanding.
  • ANNY (3D Human Parametric Model) A free, open-source parametric 3D human body model covering the full spectrum of humanity from infants to elders, with interpretable and easy-to-use controls. Designed for human behavior understanding, prediction, and avatar animation, and used by researchers and developers in human-centric computer vision.
  • SPLADE (Sparse Lexical and Expansion Model) Sparse neural information retrieval model (SPLADE v1/v2) for first-stage ranking in search, combining lexical matching with semantic expansion to deliver effective and efficient document retrieval. Used by search and information retrieval researchers and engineers.
  • Vital Records Platform A public demonstrator platform that uses deep learning (handwritten text recognition, table recognition, named entity recognition) to digitize and analyze handwritten historical records such as German parish records (1848-1878), enabling spatio-temporal visualization and demographic research.
  • Tamgu Programming Language An open-source FIL (Functional, Imperative, Logical) programming language designed for corpus annotation, text generation, and data augmentation, supporting NLP workflows with rule-based pattern detection and transducer-based lexicons.
  • Universal Encoder A universal encoder for computer vision providing unified perception capabilities for embodied AI, enabling robots to understand and interact with their 3D environment. Targeted at AI researchers in robotics and embodied AI.
  • MASt3R-SFM A fully integrated solution for unconstrained Structure from Motion enabling 3D reconstruction from image sequences, achieving state-of-the-art results in visual localization challenges. Used by computer vision researchers and engineers.
  • mHuBERT-147 A compact multilingual HuBERT speech model covering 147 languages for speech processing tasks including automatic speech recognition, phoneme recognition, intent classification, slot filling, and spoken emotion recognition. Distributed via open-source repositories.
  • ANNY-ONE Dataset A large-scale synthetic dataset for Human Mesh Recovery (HMR) model training, supporting human-centric computer vision research.

Quantifiable outcome

  • MASt3R ranked #1 in Single frame challenge track at CVPR 2024 Map-free Visual Relocalization workshop
  • +2 more outcomes

Companies that use NAVER LABS Europe

Customer profile

Segments1 record

Ideal customer profiles3 records

NAVER LABS Europe technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability17 records

Feature7 records

NAVER LABS Europe partnerships and signals

Strategic signal

Partnerships

17 partnerships are on record, tiered core and minor.

  • MIAI (Multidisciplinary Institute in Artificial Intelligence) - GrenoblecoreStrategic or Co-development Partner · 1 January 2018NAVER LABS Europe was a founding member of MIAI, one of France's four 3IA institutes (artificial intelligence interdisciplinary institutes) launched by the French government. The institute focuses on AI for health, the environment and energy. NAVER LABS Europe holds lead chair on Machine Learning and Reasoning (2020-2024) for 'Lifelong Representation Learning'.
  • PRAIRIE (PaRis AI Research InstitutE)coreStrategic or Co-development Partner · 1 January 2018NAVER LABS Europe is a founding member of PRAIRIE, based in Paris. The institute focuses on AI for health, transport and the environment. NAVER LABS Europe and INRIA have co-organised several editions of the AI summer school 'PAISS'.
  • INRIA (National Institute for Research in Digital Science and Technology)coreStrategic or Co-development PartnerOngoing collaboration with INRIA, including co-organisation of PAISS AI summer school with PRAIRIE institute. INRIA is a key academic partner in French AI ecosystem.
  • SWEET (Social aWareness for sErvicE roboTs) ProjectcoreStrategic or Co-development PartnerEuropean Commission-funded Marie Sklodowska-Curie Industrial Doctoral Network project aiming to train researchers to develop robots that can understand and respond to human emotions, intentions and cultural differences. Program includes interdisciplinary studies in AI, machine learning, human-robot interaction and cognitive sciences.
  • UTTER (Unified Transcription and Translation for Extended Reality) ProjectcoreStrategic or Co-development PartnerEU Horizon project leveraging large language models (LLMs) to build next generation multimodal eXtended reality (XR) technologies for transcription, translation, summarisation, and minuting. HORIZON.2.4 – Digital, Industry and Space funded.
  • Time Machine ProjectminorStrategic or Co-development PartnerEU Future Emerging Technology project focused on large-scale digitization of historical documents and data. NAVER LABS Europe contributes expertise in document processing and handwritten text recognition.
  • Diké ProjectminorStrategic or Co-development PartnerFrench government funded research project (ANR AAPG 2021, 2022–2025) on identifying and mitigating bias, fairness and ethics issues when compressing NLP models.
  • University of TrentominorStrategic or Co-development PartnerAcademic research collaboration with University of Trento in Italy.
  • Fondazione Bruno KesslerminorStrategic or Co-development PartnerAcademic research collaboration with Fondazione Bruno Kessler in Italy.
  • ELLIS Unit PragueminorStrategic or Co-development PartnerAcademic research collaboration with ELLIS Unit Prague at Czech Technical University.
  • Technical University of PragueminorStrategic or Co-development PartnerAcademic research collaboration with Technical University of Prague.
  • Institut de Robòtica i Informàtica Industrial, BarcelonaminorStrategic or Co-development PartnerAcademic research collaboration withIRI in Barcelona, Spain.
  • Passau UniversityminorStrategic or Co-development PartnerAcademic research collaboration with University of Passau in Germany. Collaboration includes work on historical document processing (Vital Records demonstrator) with Passau Diocesan Archives.
  • Nazerbayev UniversityminorStrategic or Co-development PartnerAcademic research collaboration with Nazerbayev University in Kazakhstan.
  • Seoul National UniversityminorStrategic or Co-development PartnerAcademic research collaboration with Seoul National University in South Korea.
  • University of OxfordminorStrategic or Co-development PartnerAcademic research collaboration with University of Oxford in the UK.
  • University Grenoble AlpescoreStrategic or Co-development PartnerStrong ongoing academic collaboration with University Grenoble Alpes, particularly through MIAI institute membership. The research lab is located near Grenoble.

Scale indicators4 records

Recent moves8 records

Expansion highlights6 records

NAVER LABS Europe competitors and assessment

Company assessment

Broad incumbents

  • Google DeepMind: Premier corporate AI research lab with similar research breadth including robotics, computer vision, NLP, and multimodal AI. Comparable as a top-tier fundamental research organization publishing at leading venues, though with much larger resources and direct product integration.
  • Microsoft Research: Major corporate research lab with comparable scope across vision, language, speech, and systems research. Comparable as a globally distributed corporate R&D organization producing top-tier publications, though with broader research scope beyond AI for robotics.
  • Tencent AI Lab: Corporate AI research arm of major Asian tech conglomerate with similar scope in computer vision, NLP, and multimodal AI. Comparable in structure as an internal research lab funded by a major tech parent, though with different geographic focus and commercialization model.
  • Apple Machine Learning Research: Apple's AI research arm focused on fundamental research in vision, NLP, and speech. Comparable as a corporate research lab publishing at top venues, though more product-integrated and without NAVER LABS Europe's open-source orientation.
  • Meta AI (FAIR): Large corporate AI research lab with similar scope across computer vision, NLP, speech, and embodied AI. Comparable as a fundamental research organization funded by a tech conglomerate, though with significantly larger scale and commercialization ambitions.

Direct peers

  • DFKI (German Research Center for Artificial Intelligence): Germany's flagship AI research center with comparable scope across robotics, computer vision, NLP, and speech. Comparable as a European AI research powerhouse with similar institutional positioning and EU project participation.
  • Sony AI: Corporate AI research lab with similar structure - wholly-owned subsidiary of a Japanese/Korean-origin tech conglomerate, focused on AI research with applications in imaging, robotics, and entertainment. Closely comparable in corporate R&D positioning and research scope.
  • Idiap Research Institute: Swiss AI research institute with comparable size, scope (computer vision, NLP, multimodal AI), and European academic-corporate hybrid model. Comparable as a mid-sized European AI research organization publishing at top venues.
  • INRIA (French National Institute for Research in Digital Science and Technology): France's primary national AI research institute and a direct partner of NAVER LABS Europe. Comparable as a fundamental AI research organization with similar publication record and French geographic footprint, though publicly funded rather than corporate.
  • NAVER LABS Korea: Direct sibling research lab under the same NAVER Corp parent, also focused on AI for robotics, computer vision, and embodied AI. Most comparable peer given shared mission, parent funding model, and research scope.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

NAVER LABS Europe social profiles

Digital presence

NAVER LABS Europe financial estimates

Financial estimate

Revenue estimate

Valuation estimate

NAVER LABS Europe leadership team

Management profile

Number of profiles

NAVER LABS Europe funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

NAVER LABS Europe M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about NAVER LABS Europe

What does NAVER LABS Europe do?

NAVER LABS Europe is a corporate AI research laboratory that conducts fundamental and applied research in computer vision, natural language processing, speech processing, and embodied AI for robotics. Its deliverables are open-source models and datasets, research frameworks, demonstrator platforms, and peer-reviewed publications rather than commercial products, supporting academic, industrial, and NAVER's internal R&D needs.

Is NAVER LABS Europe a public or private company?

NAVER LABS Europe is a private company. It is classified as corporate owned and is currently operating.

When was NAVER LABS Europe founded?

NAVER LABS Europe was founded in 2017. It employs 51 to 100 people.

Where is NAVER LABS Europe based?

NAVER LABS Europe is headquartered in Meylan, France, in the Europe region.

How does NAVER LABS Europe make money?

One revenue line is on record: research Funding & Corporate R&D.

Who are NAVER LABS Europe's main competitors?

Broad incumbents on record are Google DeepMind, Microsoft Research, Tencent AI Lab, Apple Machine Learning Research and Meta AI (FAIR). Direct peers are DFKI (German Research Center for Artificial Intelligence), Sony AI, Idiap Research Institute, INRIA (French National Institute for Research in Digital Science and Technology) and NAVER LABS Korea.

Does NAVER LABS Europe have an API?

No public API is recorded for NAVER LABS Europe.

What industry is NAVER LABS Europe in?

NAVER LABS Europe's product category is AI Research and Development. Its primary akta.pro industry code is BPAHAIAM, Instrumentation, Controls & Automation Engineering Consulting. Its NAICS code is 54171 and its SIC code is 8731.

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