14 Best Machine Learning Companies in the Netherlands (2026)
The Netherlands has become a practical place to look for machine learning partners, especially for companies that want more than a surface-level AI feature. Many local teams work close to data engineering, software development, cloud systems, and product strategy, which matters when machine learning needs to move from an idea into something usable.
This list looks at machine learning companies in the Netherlands that support businesses with AI model development, predictive analytics, automation, computer vision, natural language processing, and related data-driven work. Some focus on enterprise systems, while others are closer to product development or research-heavy use cases. Either way, the goal is to help readers compare the options without digging through every website from scratch.
1. Oski Solutions
At Oski, we function as a software engineering partner that handles the end-to-end lifecycle of digital applications, from initial concept through deployment and ongoing technical management. We work primarily with software companies and growing businesses to scale development capabilities, using a blend of modern cloud architecture and automated coding practices to decrease delivery times.
Our teams build software tailored for specific industries, focusing heavily on web platforms, database structures, and automated workflows. By structuring our teams around the exact technical stack required for a project, we ensure that the software integrates cleanly with existing business operations without long onboarding delays.
Key Highlights:
Operational teams can be assembled and deployed within a two-to-four-week window from the initial request.
Software engineering processes are integrated with automated tools to help speed up overall production timelines.
Technical management covers the entire cycle, including building, scaling, and maintaining applications.
Services:
Machine learning.
AI/ML solutions.
Data analysis.
Forecasting systems.
AI chatbot development.
Predictive maintenance.
Custom software development.
Contact Information:
Website: oski.site
E-mail: [email protected]
LinkedIn: www.linkedin.com/company/oski-solutions
Address: Kaupmehe tn 7, 10114 Tallinn, Estonia
Phone: +48571282759
Machine Learning Development Services
Help your product make better use of data with custom ML features, predictive tools, automation, and AI-driven functionality built around real business workflows.
2. WeAreBrain
WeAreBrain operates as a specialized digital studio and consultancy that focuses on integrating artificial intelligence into corporate operations. They assist businesses with adopting computer vision and supervised learning tools to optimize internal tasks such as manufacturing quality control and automated data processing.
The group provides flexible engagement models that allow companies to either add technical professionals directly into their existing internal teams or outsource entire digital product developments. They design practical implementation strategies that turn raw operational data into organized, usable business intelligence.
Key Highlights:
Operates with an approach that covers team augmentation, dedicated project delivery, and custom product builds.
Focuses heavily on implementing computer vision technologies for industrial and commercial use cases.
Designs custom deployment strategies to help organizations introduce machine learning safely into their workflows.
Services:
Artificial intelligence consultancy.
Software development and legacy modernization.
Generative AI and custom machine learning tools.
Corporate workflow automation services.
Contact Information:
Website: wearebrain.com
Linkedin: www.linkedin.com/company/wearebrain
Instagram: www.instagram.com/wearebrain
Address: Laan der Hesperiden 166, 1076DX Amsterdam
Phone: +31 6 33 99 02 35
Email: [email protected]
3. 21Century.Tech
21Century.Tech is an AI-native software engineering studio that centers its development pipeline around a paired programming model matching senior engineers with advanced language models. The studio structures its workflow so that human professionals retain full ownership of application architecture and code reviews, while automated systems manage repetitive coding tasks.
This approach targets the rapid delivery of minimum viable products and architectural updates, reducing the typical engineering cycles from months down to a matter of weeks. The team works directly within the client's infrastructure to ensure data ownership and clean deployment pipelines remain transparent.
Key Highlights:
Uses a development model where senior engineers pair with generative models on everyday production tasks.
Delivers operational prototypes and software features in shorter timelines compared to traditional development shops.
Maintains a remote-first organizational structure with engineers operating across different regions.
Services:
MVP prototyping and engineering.
Legacy codebase refactoring.
Third-party API integration.
Quality assurance and security code review.
Contact information:
Website: 21century.tech
E-mail: [email protected]
4. Xomnia
Xomnia operates as a data and artificial intelligence consultancy that assists organizations with building digital solutions from the initial concept phase through to the final product. They focus on turning operational data into actionable choices by designing custom software, predictive models, and data pipelines. The teams work across various fields to address specific industrial problems, such as stabilizing utility grids, forecasting resource demands, and predicting infrastructure malfunctions before they happen.
The group uses a structured development framework that splits projects into exploring potential use cases, turning prototypes into functional software, and expanding systems to handle growing enterprise workloads. They help businesses extract practical value from their stored information by setting up clean data pipelines and deploying models directly into real-world production environments.
Key Highlights:
Uses a development process split into experimental discovery, minimum viable product creation, and performance optimization.
Builds data structures designed to forecast consumer habits, optimize pricing systems, and manage predictive asset maintenance.
Develops visual platforms that help corporate teams monitor operational metrics and track long-term business trends.
Services:
Data science and machine learning engineering.
Predictive modeling and customer segmentation.
Deep neural network and recommendation system development.
Data visualization and interactive dashboard creation.
Contact Information:
Website: xomnia.com
Email: [email protected]
Address: Raamstraat 7, 1016 XL Amsterdam, The Netherlands
Instagram: www.instagram.com/xomnia
Linkedin: www.linkedin.com/company/xomnia
5. net-devs
net-devs functions as a software engineering agency that builds enterprise applications by combining human technical management with automated software workers. They deploy development teams managed exclusively by senior engineers who handle system architecture, define project priorities, and review code while utilizing artificial intelligence tools to handle routine drafting and testing chores.
The company operates with a flexible, stack-agnostic technical approach, meaning they select tools and programming languages based on the specific requirements of the client's problem rather than sticking to a single vendor. Their workflows integrate automated quality assurance checks and cloud architecture setups to deliver stable software systems that can be updated continuously without interrupting standard operations.
Key Highlights:
Uses an engineering model where senior developers supervise AI agents to accelerate code delivery.
Operates with a stack-agnostic approach across major cloud environments and multiple backend programming languages.
Connects clients directly with senior technical leads for requirements planning instead of using sales intermediaries.
Services:
Enterprise software development.
AI engineering and RAG system integration.
Cloud-native platform engineering.
Frontend web application development.
Contact Information:
Website: net-devs.com
Phone: +48 571 282 759
E-mail: [email protected]
Address: Obrzeżna 1D, 02-691 Warszawa, Poland
LinkedIn: www.linkedin.com/company/net-devs
6. DataNorth
DataNorth is an artificial intelligence consultancy that specializes in creating custom machine learning setups and helping organizations adopt automated tools into their current workflows. They focus on helping enterprises simplify internal processes, providing direct support to ensure new models align smoothly with existing business operations and evolve alongside changing company goals.
The firm offers both standalone application development and cooperative co-creation options, working with clients to build out both backend data engines and frontend interfaces. They focus on practical, day-to-day workflow automation and provide carbon-offset options tied to the processing requirements of the digital systems they install.
Key Highlights:
Offers flexible delivery models including complete custom development and co-creation alongside internal client teams.
Provides specialized integration support to help existing business departments adopt machine learning tools smoothly.
Incorporates environmental initiatives by planting trees to help offset the operational emissions of deployed AI models.
Services:
Custom machine learning development.
AI implementation and model integration.
Full-stack web application engineering.
AI assessments and corporate training workshops.
Contact Information:
Website: datanorth.ai
Email: [email protected]
Phone: +31 (0)50 211 2304
Address: Laan Corpus Den Hoorn 1, 9728 JM, Groningen, The Netherlands
LinkedIn: www.linkedin.com/company/datanorth-ai
8. ORTEC
ORTEC operates as a specialized analytics and optimization consultancy that integrates mathematical techniques with artificial intelligence to address complex corporate challenges. They focus heavily on combining machine learning with intelligent optimization models, helping businesses make data-driven decisions while operating within strict commercial constraints. The company maintains an internal repository to store and analyze operational data, allowing for the continuous refinement of their custom algorithms.
The organization relies on strong ties to the academic world, with multiple team members holding advanced degrees and teaching at universities. This research-driven approach allows them to build customized routing, scheduling, and logistical tools that adapt to specific business scenarios. They work closely with academic institutions to study new optimization methods, applying theoretical science to real-world operational problems.
Key Highlights:
Employs self-learning mechanisms within mathematical optimizers to select the most efficient algorithms for specific business cases.
Maintains deep academic partnerships with Dutch and international universities to research vehicle routing and scheduling logistics.
Focuses on continuous improvement by tracking and benchmarking software performance data in a dedicated analytics system.
Services:
Mathematical optimization and machine learning development.
Data science consulting and business intelligence modeling.
Generative AI tool implementation.
Professional training through specialized analytics academies.
Contact Information:
Website: ortec.com
Linkedin: www.linkedin.com/company/ortec
Address: Houtsingel 5, 2719 EA Zoetermeer, The Netherlands
Phone: +31 88 678 3265
Email: [email protected]
9. PiTangent
PiTangent is a software engineering company that builds custom artificial intelligence and machine learning applications to automate business operations. They provide engineering support across various technical areas, including deep learning, natural language processing, and computer vision. The team focuses on creating autonomous systems that process data, handle real-time calculations, and minimize manual data-entry errors.
The studio follows a vendor-neutral approach, selecting specific technologies and cloud tools based on the unique requirements of the client's project rather than relying on a fixed platform stack. They build and fine-tune models to integrate into existing platforms, helping organizations deploy user-friendly applications that handle complex tasks like pattern recognition and secure biometric authentication.
Key Highlights:
Uses a technology-agnostic development approach to select programming tools based on unique client requirements.
Implements automated quality checks and up-to-date compliance protocols to secure data processing pipelines.
Fine-tunes pre-trained models and designs custom neural network architectures for specific domain use cases.
Services:
Custom machine learning and deep learning development.
Natural language processing and speech recognition engineering.
Computer vision and facial recognition software integration.
Robotic process automation and AI-as-a-Service infrastructure.
Contact Information:
Website: pitangent.com
Linkedin: www.linkedin.com/company/pitangent
Twitter: x.com/pitangent
Facebook: www.facebook.com/pitangentanalytics
Instagram: www.instagram.com/pitangent
Address: Calabriëstraat 15 Alkmaar, Noord-Holland 1827DC
Phone: +31 6 82809405
Email: [email protected]
10. Horus Consulting
Horus Consulting acts as an IT advisory and software development company that helps businesses handle technical transitions, cloud setups, and artificial intelligence tasks. They assist organizations with setting up remote development teams and shifting legacy systems into cloud infrastructure, ensuring these changes match the company's operational plans. The teams work across a variety of business areas, including healthcare and logistics, to deploy automated testing frameworks and clean data pipelines.
The group provides a wide collection of services centered on data processing and computer vision to help managers analyze visual data, identify objects, and moderate content automatically. They also build specialized natural language models that read customer feedback for sentiment patterns and translate speech to help apps communicate with users. By combining predictive data modeling with custom algorithm training, they assist teams in projecting customer demand and organizing proactive risk mitigation strategies.
Key Highlights:
Offers free evaluation options including direct consultation calls and prototype development to map out project scopes.
Implements continuous refinement frameworks to help artificial intelligence models update dynamically as new data arrives.
Combines infrastructure management, DevOps engineering, and team augmentation services alongside specialized software builds.
Services:
Custom machine learning and data processing development.
Cognitive services including computer vision and speech synthesis.
Cloud migration and serverless architecture design.
Robotic process automation and managed quality engineering.
Contact Information:
Website: horusconsulting.nl/aiandmachinelearning
Email: [email protected]
Phone: +31 634 03 77 07
Address: Abdis Gijsbertastraat 5, 2544NB, Den Haag, The Netherlands
Facebook: www.facebook.com/people/Horus-Consulting/100065033960629
Twitter: x.com/horusconsultin
Instagram: www.instagram.com/horusconsulting_
Linkedin: www.linkedin.com/company/horus-consulting-bv
11. UbiOps
UbiOps, which operates under the corporate name Dutch Analytics B.V., provides a specialized software platform designed to host, manage, and scale artificial intelligence applications across diverse server setups. They help operations and engineering departments run their data models without needing to build or maintain complex backend systems like Kubernetes from scratch. The system allows companies to coordinate tasks locally, on private systems, or across multiple public clouds from a single management window.
The platform focuses on moving machine learning prototypes into reliable production applications while helping organizations control computing expenses and stick to data regulations. It features built-in tools for handling version control, user access permissions, and performance monitoring to prevent unapproved software from running within corporate networks. By handling infrastructure details automatically, the tool allows technical teams to focus purely on coding and training models instead of managing servers.
Key Highlights:
Runs machine learning workloads seamlessly across a mix of local infrastructure, virtual machines, and multi-cloud networks.
Includes built-in tracking tools to audit security compliance, manage API routes, and control resource priority.
Serves as a central interface that accommodates traditional data science code, large language models, and computer vision systems.
Services:
AI workload orchestration and infrastructure automation.
API management and version control for machine learning.
Hybrid and multi-cloud deployment services.
System auditing and security access management.
Contact Information:
Website: ubiops.com
Phone: +31 70 792 00 91
Address: Wilhelmina van Pruisenweg 104, 2595 AN, The Hague, The Netherlands
LinkedIn: www.linkedin.com/company/ubiops
12. ELEKS
ELEKS functions as a global software development and data science partner that designs custom engineering solutions to help enterprises automate daily workflows and update older applications. They focus on turning raw corporate data into usable business information, helping teams manage inventory, schedule operational capacity, and predict market changes. The company operates across numerous industries including retail, finance, healthcare, and automotive fields to deploy large-scale digital platforms.
The teams build advanced recommendation systems and personalization tools that look at customer behavior data to suggest targeted products and analyze user intent. They also incorporate computer vision algorithms into security setups to detect asset misuse, flag strange behavior patterns, and spot fraud in real time. By linking predictive analytics with cloud security tools, they assist corporate safety teams in tracking cyber threats and setting up preventative measures to protect digital files.
Key Highlights:
Brings three decades of software engineering experience to custom enterprise data projects.
Deploys computer vision models to help secure physical properties and identify fraudulent user behavior.
Builds industry-specific automation tools for tasks like dynamic pricing and market segmentation.
Services:
Machine learning development and data science consulting.
Predictive analytics and risk management software engineering.
Process automation and digital document management.
Cyber threat landscape analysis and secure login implementation.
Contact information:
Website: eleks.com
Phone: +1-647-578-9532
Address: Vinoly (office 135), Gustav Mahlerplein 2, Amsterdam 1082 MA
Linkedin: www.linkedin.com/company/eleks
Facebook: www.facebook.com/ELEKS.Software
Twitter: x.com/ELEKSSoftware
13. AskGalore
AskGalore functions as an artificial intelligence agency and software development provider that sets up tailored digital automation frameworks for businesses. The teams focus on taking raw operational data and converting it into structured insights, helping companies refine their day-to-day decision-making processes. By implementing an agile development methodology, they guide organizations through the initial consulting phases up to the actual deployment of scalable software systems.
The group handles the backend complexities of preparing data for machine learning algorithms, making sure information is properly cleaned and structured before it trains any model. They adapt their systems to fit specific industry demands, collaborating directly with corporate teams to align software functions with broader operational goals. This approach helps companies update their digital pipelines and manage larger user bases without losing computational efficiency.
Key Highlights:
Operates on an agile development framework to deliver practical software updates throughout the creation cycle.
Prepares and structures raw company data specifically to train machine learning and automation algorithms.
Customizes automation systems through direct collaboration with internal corporate teams to target specific business challenges.
Services:
Machine learning model implementation and data preparation.
Computer vision and image processing setup.
Generative artificial intelligence systems and content tools.
Artificial intelligence consulting and workflow automation planning.
Contact information:
Website: askgalore.com
Phone: +31 (0)636079961
E-mail: [email protected]
Address: Landfort 64, Lelystad 8219AL
Facebook: www.facebook.com/askgalore
LinkedIn: www.linkedin.com/company/askgalore
Instagram: www.instagram.com/askgalore
14. Pixel Tech
Pixel Tech operates as an engineering firm that designs custom machine learning models and automated enterprise resource planning systems. The providers approach development from an AI-first perspective, meaning they build intelligent automation into the core architecture of the software rather than adding it to old systems later. They use a proprietary collection of pre-built product foundations to quickly assemble and customize platforms for various industries, including manufacturing and textiles.
The company utilizes a milestone-based delivery framework where clients review and verify working software at specific intervals before moving forward. Their teams design real-time data pipelines and self-healing system integrations that sync with third-party tools like communication platforms and accounting software. This method keeps business applications running smoothly by using predictive alerting to fix backend communication conflicts automatically before they disrupt operations.
Key Highlights:
Utilizes a milestone-based delivery model where payments are tied directly to working software benchmarks.
Anchors projects with a proprietary ecosystem of pre-built tools to speed up platform creation.
Architects self-healing data integrations that automatically resolve software conflicts without manual intervention.
Services:
Custom enterprise resource planning software engineering.
Machine learning and natural language processing automation.
Cloud infrastructure optimization and platform engineering.
Predictive monitoring and technical architecture consulting.
Contact information:
Website: pixeltech.ai
E-mail: [email protected]
Facebook: www.facebook.com/pixeltech.co.in
Twitter: x.com/pixeltech_ai
LinkedIn: www.linkedin.com/company/pixel-tech
Instagram: www.instagram.com/pixeltech.ai
Conclusion
The Dutch machine learning space isn't really a one-size-fits-all kind of environment. Looking at how things are set up in the Netherlands, you notice pretty quickly that companies are approaching automation from completely different angles. Some are tackling the heavy corporate engineering side, plugging intelligent layers straight into enterprise infrastructure, while others operate as collaborative hubs, pulling together regional talent and academic backing to solve broader societal problems. It's a healthy mix of boutique agencies that specialize in clean data preparation and massive ecosystems that turn theoretical research into actual commercial software.
What stands out most is how these varied approaches reflect a shifting expectation in tech. It isn't just about throwing an algorithm at a problem anymore and hoping it sticks; it's about building a solid foundation, whether that means structuring messy files so they are actually usable or setting up self-healing pipelines that keep things running in the background. The landscape here seems focused on making AI practical and less glamorous, which is exactly what businesses need when they are trying to scale up without breaking their existing setups.
