Machine learning has become a fairly established part of the Dutch tech landscape. It is no longer limited to experimental projects or research teams. Companies are putting ML to work in computer vision, forecasting, automation, healthcare, geospatial analysis, document processing, and plenty of other areas where handling information manually would take too much time.
There is quite a bit of variety between the companies on this list. Some are deeply focused on building custom machine learning models, while others bring ML into larger software, cloud, or data projects. A few have very specific niches, such as medical imaging or municipal services. Below, we look at what each company actually does and where its machine learning experience fits.
1. 플라이픽스 AI
At FlyPix AI, we use machine learning and AI to analyze geospatial imagery. The platform uses machine learning and computer vision to work with satellite, aerial, and drone imagery, helping users detect, classify, outline, and monitor objects. These capabilities are applied across agriculture, construction, forestry, infrastructure, mining, ports, environmental monitoring, and government projects.
A key part of our platform is the ability to build custom machine learning models around users’ own imagery. They can annotate relevant objects and train models without writing code. In addition to object detection, our platform supports image classification and the analysis of complex scenes, helping teams reduce the amount of imagery that requires manual review.
주요 내용:
- Focus on ML for satellite, aerial, and drone imagery
- Object detection, classification, and monitoring
- Custom models based on user annotations
- No programming required for model training
- Applications across a range of geospatial projects
서비스:
- 머신러닝
- 공간 이미지 분석
- AI 기반 객체 탐지
- 이미지 분류
- Custom machine learning model training
- 위성 및 항공 이미지 처리
- 드론 이미지 분석
- Object monitoring and inspection
- User-defined image annotation
연락처 정보:
- 웹사이트: 플라이픽스닷에이아이
- 이메일: [email protected]
- 링크드인: www.linkedin.com/company/flypix-ai
- 주소: Robert-Bosch-Str. 7, 64293 Darmstadt, Germany
- Phone: +49 6151 7076949
2. AI 우수
AI Superior is a Germany-based company that develops custom AI and machine learning solutions. Their work often starts before any model is built. They look at the problem, assess where AI might actually make sense, and then move into prototyping, development, integration, and evaluation.
The technical scope is pretty broad. They work with computer vision, NLP, predictive analytics, deep learning, and business intelligence, among other areas. Past projects have included object detection as well as applications for healthcare, insurance, and real estate. They can build standalone AI products, but they also integrate machine learning functionality into software that a company already uses.
주요 내용:
- Custom AI and machine learning development
- Experience with computer vision, NLP, and predictive modeling
- Work ranging from early assessment to implementation
- Projects across several industries
- Both standalone AI systems and integrations
서비스:
- Machine learning development
- AI 소프트웨어 개발
- AI 컨설팅
- 컴퓨터 비전 및 이미지 처리
- 자연어 처리
- 예측 분석
- 인공지능 연구 개발
- AI training
연락처 정보:
- 웹사이트: aisuperior.com
- 이메일: [email protected]
- 링크드인: www.linkedin.com/company/ai-superior
- Twitter/X: x.com/aisuperior
- 페이스북: www.facebook.com/aisuperior
- 인스타그램: www.instagram.com/ai_superior
- 주소: Robert-Bosch-Str. 7, 64293 Darmstadt, Germany
- Phone: +49 6151 7076909
3. ML6
ML6 is an AI engineering company with Dutch offices in Amsterdam and Eindhoven, as well as locations in Belgium and Germany. They work with organizations that want to move AI beyond a prototype and into an actual working environment. That means their role can involve the model itself, but also architecture, cloud infrastructure, and the practical questions around adoption.
Their work is broadly divided between AI engineering and advisory services. Engineering covers the technical build, while the advisory side deals with strategy, adoption, and organizational change. ML6 also develops agent-based AI systems and works with clients in energy, finance, healthcare, retail, government, industry, and technology.
주요 내용:
- Offices in Amsterdam and Eindhoven
- Applied AI and machine learning engineering
- Mix of technical development and AI advisory
- Experience with enterprise AI and AI agents
- Work in both private and public-sector environments
서비스:
- AI engineering
- Machine learning development
- AI advisory
- AI strategy
- AI system architecture
- AI prototyping
- Agentic AI development
- AI governance support
연락처 정보:
- Website: www.ml6.eu
- E-mail: [email protected]
- Facebook: www.facebook.com/ml6team
- LinkedIn: www.linkedin.com/company/ml6team
- Instagram: www.instagram.com/ml6.team
- Address: Geldersekade 101E, 1011 EM Amsterdam Skyhaus B.V. Nederland
4. WeAreBrain
WeAreBrain builds digital products and software where AI is often one part of a larger system. Instead of treating machine learning as something separate from regular product development, they combine it with software engineering, automation, and product design.
Their AI work ranges from generative AI and large language models to automation and data science. They also develop mobile apps, commerce platforms, and custom software, so the exact role of machine learning varies quite a bit from one project to another. Their industry experience includes healthcare, logistics, transport, energy, education, consumer goods, and professional services.
주요 내용:
- AI integrated into wider digital products
- Combination of AI and traditional software engineering
- Work with generative AI, LLMs, automation, and data science
- New product development and modernization projects
- Experience across several industries
서비스:
- Machine learning and data science
- Generative AI development
- LLM development
- AI 컨설팅
- AI automation
- 맞춤형 소프트웨어 개발
- Software modernization
- 모바일 애플리케이션 개발
연락처 정보:
- Website: wearebrain.com
- E-mail: [email protected]
- LinkedIn: www.linkedin.com/company/wearebrain
- Instagram: www.instagram.com/wearebrain
- Address: Laan der Hesperiden 166, Amsterdam, 1076 DX, Netherlands
- Phone: +31 6 33990235
5. Cloudflight
Cloudflight is primarily a software and digital engineering company, with data and AI forming one part of a much wider service offering. They also work on cloud platforms, custom software, and digital commerce, so their machine learning projects are often tied to bigger technical systems.
This is particularly relevant when an AI model needs to do more than work in isolation. Cloudflight develops AI for process automation and other applications involving repetitive or manual work, while also working with agentic AI and AI-first consulting. Their broader engineering background means they can connect these systems with cloud environments, internal applications, and digital platforms.
주요 내용:
- ML combined with software and cloud engineering
- AI used for business process automation
- Machine learning built into larger applications
- Experience across commercial and public-sector projects
- Work with agent-based AI systems
서비스:
- Machine learning development
- Data and AI services
- AI 컨설팅
- Agentic AI development
- Software engineering
- 클라우드 서비스
- Digital platform development
- AI-supported process automation
연락처 정보:
- Website: www.cloudflight.io
- E-mail: [email protected]
- Facebook: www.facebook.com/cloudflight.io
- Twitter: x.com/cloudflightio
- LinkedIn: www.linkedin.com/company/cloudflight
- Instagram: www.instagram.com/cloudflight.official
- Address: Friedenheimer Brucke 16, 80639 Munchen, Germany
- Phone: +49 89 2153 7055
6. Savana Solutions
Savana Solutions works in a fairly specific corner of the market: software for municipalities and public-space management. Their systems help local authorities receive and process reports from residents, route those reports to the right place, and manage the workflow around resolving them.
Machine learning comes into play through areas such as image recognition and automatic categorization. For example, AI can help identify the type of issue shown in a photo submitted through a mobile application. Savana also works with computer vision tools such as OpenCV, alongside big data, ETL, data warehouses, and broader digital transformation projects.
주요 내용:
- Strong focus on municipal and public-space applications
- Machine learning and computer vision capabilities
- Image-based recognition and categorization
- AI connected with mobile reporting systems
- Broader experience with data and workflow automation
서비스:
- Machine learning development
- AI 소프트웨어 개발
- Computer vision
- Image recognition
- 모바일 앱 개발
- Big data consulting
- Data warehouse development
- ETL system design
- 디지털 변환
- 워크플로 자동화
연락처 정보:
- Website: www.savana.solutions
- E-mail: [email protected]
- Address: Kalvermarkt 53 2511 CB Den Haag, The Netherlands
7. Xomnia
Xomnia works with organizations that need to turn data and AI ideas into systems they can actually use. Their projects can begin at the strategy stage and continue through data infrastructure, model development, applications, and production deployment.
Machine learning is used across forecasting, generative AI, risk prediction, customer service, and other business applications. They also develop AI agents and cloud-based data platforms. Because of that, their ML work often goes hand in hand with data engineering rather than stopping once a model has been trained.
주요 내용:
- Combination of data engineering and AI
- Production-focused machine learning projects
- Experience with forecasting and generative AI
- Development of AI agents
- Cloud-based data infrastructure
서비스:
- Machine learning engineering
- Data and AI strategy
- Generative AI development
- AI agent development
- 예측 모델링
- Data engineering
- Cloud data platforms
- Analytics engineering
- Data product development
연락처 정보:
- Website: xomnia.com
- E-mail: [email protected]
- LinkedIn: www.linkedin.com/company/xomnia
- Instagram: www.instagram.com/xomnia
- Address: Raamstraat 7 1016 XL Amsterdam
- Phone: +31 20 772 8425
8. PiTANGENT
PiTANGENT develops software and AI systems for startups as well as established businesses. Their machine learning work includes predictive models, computer vision, NLP, data platforms, and MLOps. In many cases, these capabilities are built into a larger software product instead of being delivered as a model on its own.
They also work with AI automation and have experience in industries including finance, healthcare, legal services, retail, manufacturing, construction, and logistics. Their wider development offering covers SaaS, cloud, DevOps, web applications, and full-stack engineering, which gives them room to handle the software surrounding an ML feature too.
주요 내용:
- Predictive machine learning development
- 컴퓨터 비전 및 자연어 처리 프로젝트
- MLOps and data platform experience
- AI combined with full-stack development
- Work across several industries
서비스:
- Machine learning development
- 예측 모델링
- Computer vision
- 자연어 처리
- MLOps
- Data science and analytics
- Data platform development
- AI automation
- SaaS development
- Cloud and DevOps services
연락처 정보:
- Website: pitangent.com
- E-mail: [email protected]
- Facebook: www.facebook.com/pitangentanalytics
- Twitter: x.com/pitangent
- LinkedIn: www.linkedin.com/company/pitangent
- Instagram: www.instagram.com/pitangent
- Address: Calabriestraat 15, Alkmaar, Noord-Holland 1827 DC, Netherlands
- Phone: +31 6 82809405
9. Studio Vi
Studio Vi develops modular digital systems for businesses and organizations with complicated operational processes. Their projects bring together AI, software, automation, and data, particularly in fields where planning, calculations, internal knowledge, or risk assessment take up a lot of day-to-day work.
Their AI applications include construction cost estimation, process automation, risk identification, and decision support. They also help organizations work out where AI fits into existing operations before moving into implementation. Much of their experience comes from construction, infrastructure, real estate, civil engineering, education, research, and agri-food.
주요 내용:
- Applied AI for operational workflows
- Modular systems rather than isolated AI tools
- Prediction, analysis, and automation
- AI strategy and implementation support
- Experience in construction and infrastructure-related fields
서비스:
- Applied AI development
- 머신러닝 솔루션
- AI strategy
- Data and automation systems
- 프로세스 자동화
- AI-based decision support
- 소프트웨어 개발
- Operational system design
연락처 정보:
- Website: www.studiovi.com
- E-mail: [email protected]
- LinkedIn: www.linkedin.com/company/studiovi
- Address: Wibautstraat 131D, 1091 GL Amsterdam
- Phone: +31 20 777 00 17
10. Rewire
Rewire approaches machine learning from both the technical and organizational sides. They develop AI systems, but they also work with strategy, data management, and training, which becomes important when a company wants to use machine learning across more than one isolated project.
Their technical services include custom ML systems and MLOps for getting models into production and keeping them there. Rewire also works with generative AI and develops applications for areas such as pricing, supply chains, and sales. Their industry experience stretches from manufacturing and agriculture to telecom, transport, energy, retail, finance, consumer goods, and life sciences.
주요 내용:
- ML development through production deployment
- MLOps capabilities
- Custom AI for operational processes
- Strategy and data management alongside engineering
- Experience across industrial and commercial sectors
서비스:
- Machine learning development
- MLOps
- 맞춤형 AI 개발
- Data and AI strategy
- 데이터 관리
- Generative AI
- AI training
- AI transformation consulting
연락처 정보:
- Website: rewirenow.com
- E-mail: [email protected]
- LinkedIn: www.linkedin.com/company/rewirenow
- Instagram: www.instagram.com/rewirenow
- Address: Mauritskade 55G, 1092 AD Amsterdam
- Phone: +31 (0)20 715 52 90
11. Cloud Primero
Cloud Primero is a technology consulting and development company with an office in Rotterdam. Their work spans machine learning, AI, cloud services, big data, enterprise applications, and custom software. As a result, ML usually appears as part of a broader technical setup rather than as a standalone project.
They work on predictive analytics, machine vision, NLP, and data science, and they also combine machine learning with IoT for applications such as maintenance and fault detection. On the data side, their services include ETL and ELT pipelines and business intelligence. That mix can be useful when the main challenge is not just building a model, but connecting it to the systems around it.
주요 내용:
- Office in Rotterdam
- Machine learning alongside cloud and big data
- Predictive analytics experience
- ML and IoT applications
- AI features integrated into larger software systems
서비스:
- Machine learning development
- AI development
- Machine vision
- 자연어 처리
- 예측 분석
- Big data engineering
- Data science
- ETL and ELT development
- 클라우드 서비스
- 맞춤형 애플리케이션 개발
연락처 정보:
- Website: www.cloudprimero.com
- E-mail: [email protected]
- Address: Posthoornstraat 17 3011WD Rotterdam Netherlands
- Phone: +31 1 03075858
12. Doxis
Doxis (ex-Klippa) takes a much narrower approach to AI than the general-purpose development firms here. Their focus is document processing. The company’s technology reads, classifies, extracts, verifies, converts, and anonymizes information from documents, reducing the amount of administrative work that has to be done by hand.
Machine learning is used for OCR, document understanding, classification, fraud detection, and automated processing. The software can handle invoices, receipts, forms, identity documents, claims, mortgages, emails, and similar material. Doxis also offers APIs and SDKs, so its document-processing features can be built directly into other applications.
주요 내용:
- Specialized in AI-based document processing
- OCR and document classification
- Fraud and identity checks
- Structured information extraction
- API and SDK integration options
서비스:
- Intelligent document processing
- 문자 인식
- Document classification
- Data extraction
- Document verification
- 사기 감지
- 본인확인
- Invoice processing
- Form processing
- Email parsing
연락처 정보:
- Website: www.klippa.com
- E-mail: [email protected]
- Address: A’DAM Toren, Overhoeksplein 1, Amsterdam
- Phone: +31 50 2111631
13. Emixa
Emixa works on digital transformation projects where data and AI sit alongside enterprise software, automation, consulting, and operations. Their Data and AI practice is connected with areas such as ERP, product lifecycle management, application development, and system integration.
That broader setup shapes the kind of machine learning work they do. Rather than focusing only on models, Emixa works with organizations where AI has to fit into existing systems and operational processes. Manufacturing, construction, infrastructure, utilities, logistics, and commerce are among the industries they serve.
주요 내용:
- Data and AI connected with enterprise software
- Experience with complex operational environments
- Integration and automation work
- Support from planning through implementation
- Focus on industries such as manufacturing and infrastructure
서비스:
- Data and AI
- 머신러닝 솔루션
- Integration and automation
- 응용 프로그램 개발
- 디지털 변환
- Enterprise system consulting
- ERP 구현
- Product lifecycle management
연락처 정보:
- Website: www.emixa.com
- E-mail: [email protected]
- LinkedIn: www.linkedin.com/company/emixa
- Instagram: www.instagram.com/emixa_network
- Address: Gooimeer 5-39, 1411 DD Naarden, Netherlands
- Phone: +31 88 696 6000
14. Crux Digits
Crux Digits is a Netherlands-based AI consultancy and engineering company. They work across AI strategy, machine learning, data engineering, computer vision, generative AI, LLMs, and custom software. Projects can start with a relatively small proof of concept and continue into a production system if the initial idea proves useful.
Their ML work covers prediction, classification, and automation, while computer vision projects include detection, recognition, and inspection. They also develop LLM-based applications using techniques such as fine-tuning and retrieval-augmented generation. Importantly, their work is not limited to the models themselves. They also build the pipelines, applications, and infrastructure needed around them.
주요 내용:
- Based in the Netherlands
- Custom machine learning model development
- Prediction, classification, and automation
- AI combined with data and software engineering
- Projects from proof of concept to production
서비스:
- Machine learning development
- AI implementation
- AI strategy
- Data engineering
- Computer vision
- Generative AI
- LLM optimization
- RAG development
- 맞춤형 애플리케이션 개발
- AI agent development
연락처 정보:
- Website: cruxdigits.nl
- E-mail: [email protected]
- Facebook: www.facebook.com/cruxdigits
- Twitter: x.com/cruxdigits
- LinkedIn: www.linkedin.com/company/cruxdigits
- Instagram: www.instagram.com/cruxdigits
- Address: Vlierhoeve 100, 3438 MW Nieuwegein
- Phone: +31 6 44384676
15. MindInventory
MindInventory is a software engineering and AI development company with an office in The Hague. They cover quite a wide range of AI technologies, including machine learning, data science, computer vision, predictive analytics, generative AI, and autonomous agents.
Their projects include predictive systems, NLP, visual recognition, and integrations that bring AI into existing applications. Examples mentioned by the company include claims processing based on NLP, construction safety applications, food recognition, and digital twins used in energy planning. They also handle data engineering and software development, which gives them the surrounding technical pieces needed to put these models into use.
주요 내용:
- Office in The Hague
- Machine learning, data science, and computer vision
- Predictive analytics and NLP applications
- AI supported by software and data infrastructure
- Integration of custom and third-party AI models
서비스:
- Machine learning development
- AI development
- 예측 분석
- Computer vision
- 자연어 처리
- Generative AI
- Agentic AI development
- Data engineering
- AI 통합
- 소프트웨어 개발
연락처 정보:
- Website: www.mindinventory.com
- E-mail: [email protected]
- Facebook: www.facebook.com/Mindiventory
- Twitter: x.com/Mindinventory
- LinkedIn: www.linkedin.com/company/mindinventory
- Address: Laan van Wateringse Veld 1322, 2548 CX The Hague
- Phone: +3197010266779
16. CloudHub
CloudHub is based in Voorburg and works across cloud infrastructure, data engineering, AI, machine learning, and business automation. Machine learning is closely tied to the company’s data modernization work, including the infrastructure needed to deploy models and keep them running. Its DataCube offering, for example, brings together analytics, ML deployment, data enrichment, and data mesh capabilities.
There are also some more specialized applications in the mix. CloudHub uses NLP, OCR, and machine learning for document processing. Its FarmOps platform takes ML in another direction, combining AI, IoT, computer vision, and predictive analytics for agriculture. The company also works with MLOps, so its machine learning offering covers more than experimentation or model development alone.
주요 내용:
- Based in Voorburg
- Machine learning and MLOps
- ML combined with cloud and data engineering
- Predictive analytics applications
- Computer vision and ML for agriculture
- Automated document processing
서비스:
- Machine learning deployment
- MLOps
- Data engineering
- 예측 분석
- Computer vision
- 자연어 처리
- Intelligent document processing
- AI automation
- Generative AI
- Cloud engineering
연락처 정보:
- Website: cloudhubs.nl
- E-mail: [email protected]
- Facebook: www.facebook.com/cloudhub.nl
- Twitter: x.com/CloudHub_nl
- LinkedIn: www.linkedin.com/company/cloudhubsn
- Address: Van Wassenaerstraat, Voorburg, Netherlands, 2274 RE
- Phone: + 31 643637511
17. Enjins
Enjins is an AI engineering company based in Utrecht that focuses on putting machine learning and AI systems into production. The company was founded specifically around ML engineering and works with organizations that need more than a model or prototype. Its projects cover data systems, machine learning infrastructure, MLOps, forecasting, recommendation engines, image recognition, and other production AI applications.
Their work covers several practical areas where machine learning can be integrated into existing business processes. Examples include demand forecasting for e-commerce, recommendation systems for marketplaces, energy forecasting, image recognition for climate monitoring, and machine learning for logistics and mobility. They also build the data infrastructure needed to train, deploy, and operate models in production.
주요 내용:
- Based in Utrecht
- Dedicated focus on machine learning engineering
- Experience with production ML systems and MLOps
- Work with forecasting, recommendation systems, and image recognition
- Combination of data engineering and machine learning
- Experience in climate tech, mobility, marketplaces, logistics, and other sectors
서비스:
- Machine learning engineering
- Machine learning systems development
- MLOps
- AI engineering
- Data systems architecture
- 예측 모델링
- Demand forecasting
- Recommendation systems
- Image recognition
- LLM integration and deployment
연락처 정보:
- Website: enjins.com
- E-mail: [email protected]
- Linkedin: www.linkedin.com/company/enjins
- Address: Oudegracht 91C, 3511 AD Utrecht, The Netherlands
- Phone: +31 20 123 4567
18. Continker
Continker is an AI engineering studio based in Amsterdam that has been building machine learning solutions since 2014. Their work started in finance and later expanded into areas such as pharmaceuticals, logistics, and retail. They develop custom ML solutions for organizations while also creating their own AI products and providing engineering expertise for client projects.
Their approach covers both machine learning development and the engineering needed to make AI systems usable in real environments. They work with custom AI solutions, machine learning models, and research-oriented projects, while also developing systems that can run on European cloud infrastructure. Their recent work includes compact language models that can operate locally, showing that their ML work extends beyond standard cloud-based applications.
주요 내용:
- Based in Amsterdam
- Building machine learning solutions since 2014
- Experience in finance, pharma, logistics, and retail
- Custom machine learning and AI development
- Development of proprietary AI products
- Work with self-hosted and locally running AI models
서비스:
- Machine learning development
- AI engineering
- 맞춤형 AI 솔루션
- AI product development
- 머신러닝 모델 개발
- 인공지능 연구 개발
- AI system engineering
- On-site AI engineering
- Self-hosted AI solutions
- European cloud AI infrastructure
연락처 정보:
- Website: continker.ai
- E-mail: [email protected]
결론
The machine learning market in the Netherlands is not really one single market. Some companies here spend most of their time building custom models, while others use ML as one piece of a much larger software or data project. Then there are specialists working in areas such as healthcare, geospatial imagery, documents, agriculture, and municipal services. That makes comparing them purely by the number of AI services they list fairly pointless.
What matters more is how closely a company’s experience matches the actual project. Building a model is only part of the job anyway. Data pipelines, integrations, deployment, monitoring, and maintenance can quickly become just as important. Looking at those practical details, along with industry experience and technical focus, usually gives a much better idea of which team makes sense for a particular machine learning project.