Gent’s AI consulting scene has grown out of practical needs rather than buzz. The city combines strong academic research with industries that rely on precision and efficiency, from manufacturing and logistics to biotech and software. That mix shapes how AI work is defined and evaluated.

In this environment, AI consulting usually starts with concrete problems. Forecasting demand, improving planning, automating visual checks, or supporting better decisions with data. Clients tend to care less about experimentation and more about whether a solution fits into existing systems and keeps working over time.

Because of that, AI consulting in Gent leans toward applied engineering. Data quality, integration effort, and long-term maintainability often matter more than model novelty. The companies operating here are shaped by those expectations, working in a market where results are judged by impact in daily operations, not by promises on a slide.

 

1. OSKI

OSKI operates in the AI consulting space in Gent, Belgium as a software development and integration team focused on building and maintaining production-ready systems. Our work typically spans cloud infrastructure, web and frontend development, and AI integrations, with attention given to stability and clean implementation. AI is not treated as a separate layer but as part of a broader system that includes backend services, user interfaces, and deployment pipelines.

Within AI consulting projects, we focus on practical integrations such as machine learning models, natural language processing, and computer vision embedded into existing applications. Our approach reflects an engineering-driven mindset where data pipelines, infrastructure, and long-term maintenance matter as much as the models themselves. As a rule, our solutions are shaped around real business workflows, aligning with how AI consulting services in Gent are commonly expected to support ongoing operations rather than isolated experiments.

Key Highlights:

• End-to-end software development and system integration
• Experience combining AI features with cloud and web platforms
• Strong focus on maintainability and clean code
• Works across cloud, frontend, backend, and DevOps layers

Services:

• AI integrations
• Machine learning solutions
• Natural language processing
• Computer vision
• Cloud solutions
• Web and frontend development
• Backend and API development
• DevOps and CI/CD setup

Contacts:

• Website: oski.site
• E-mail: contact@oski.site
• LinkedIn: www.linkedin.com/company/oski-solutions
• Address: Kaupmehe tn 7, 10114 Tallinn, Estonia
• Phone: +48571282759

 

 

 

 

2. ML2Grow

ML2Grow focuses on building and maintaining machine learning systems that move beyond experimentation and into regular use. Their work often sits around model deployment, monitoring, and lifecycle management, with attention given to how models behave once they are live. Rather than treating machine learning as a one-off delivery, they approach it as an ongoing process that needs structure, tooling, and maintenance.

A large part of their activity relates to MLOps practices, helping organizations keep models stable, traceable, and up to date as data changes. This includes setting up pipelines for training, deployment, and monitoring, as well as supporting teams that already have models but struggle with reliability or scalability in production environments.

Key Highlights:

• Key approach on operational machine learning systems
• Experience with model deployment and maintenance
• Emphasis on MLOps workflows and lifecycle management
• Works with existing data and engineering teams

Services:

• Machine learning engineering
• MLOps setup and support
• Model deployment and monitoring
• AI solution development
• Data pipeline integration

Contacts:

• Website: ml2grow.com
• E-mail: info@ml2grow.com
• Instagram: www.instagram.com/ml2grow
• Twitter: x.com/ml2grow
• LinkedIn: www.linkedin.com/company/ml2grow
• Facebook: www.facebook.com/ML2Grow
• Address: Victoriastraat 52, 9000 Gent
• Phone: +32 478 74 11 31

 

3. Hello Customer

Hello Customer develops a platform that applies AI to customer feedback and experience data. Their work centers on collecting feedback from multiple sources, structuring it, and using machine learning to extract patterns that are useful for decision-making. The focus stays on turning unstructured input into insights that can be acted on by business and operational teams.

Their AI capabilities are closely tied to natural language processing and text analysis, allowing organizations to analyze large volumes of feedback at scale. This is supported by integrations with common customer service, survey, and review tools, making it easier to centralize data and keep analysis consistent across channels.

Key Highlights:

• AI-driven analysis of customer feedback
• Strong focus on text and sentiment analysis
• Broad integration ecosystem for data collection
• Emphasis on data security and compliance

Services:

• AI for customer experience analysis
• Natural language processing
• Feedback data aggregation
• Insight generation and reporting
• Platform integrations

Contacts:

• Website: www.hellocustomer.com
• E-mail: meetus@hellocustomer.com
• Instagram: www.instagram.com/hellocustomer_cx
• Twitter: x.com/hello_customer
• LinkedIn: www.linkedin.com/company/insider-metrics
• Facebook: www.facebook.com/hellocustomertool
• Address: Visserij 171, 9000 Ghent
• Phone: +32 (0)486 81 05 59

 

4. Superlinear

Superlinear develops AI systems used to support decision-making in complex operational environments. Their work centers on situations where many variables interact at once, such as infrastructure, logistics, or industrial operations. Instead of optimizing individual steps, they look at how entire systems behave and change over time.

Operational environments with tight dependencies benefit most from this approach. Data flowing in from different parts of the organization is evaluated continuously, allowing plans to shift as conditions change. This makes the system suitable for situations where decisions need to reflect current realities rather than fixed assumptions.

Key Highlights:

• System-level approach to operational decision-making
• AI applied across interconnected processes
• Designed for large-scale, data-heavy environments
• Supports real-time planning and response

Services:

• AI-based orchestration systems
• Forecasting and planning tools
• Real-time operational monitoring
• Enterprise data modeling
• Custom AI applications

Contacts:

• Website: superlinear.eu
• Instagram: www.instagram.com/superlinear.eu
• LinkedIn: www.linkedin.com/company/superlinear-eu
• Twitter: x.com/superlinear_eu
• Address: Ghelamco Arena, Ottergemsesteenweg-Zuid 808, 9000 Gent

 

5. Robovision

Robovision develops a platform centered on computer vision for industrial and operational use cases. Their work revolves around enabling machines and operators to use visual data for automation, inspection, and process control. Rather than delivering single-purpose models, they provide tooling that supports the full lifecycle of vision-based AI.

Industrial settings often rely on visual checks as part of everyday work. The platform allows users to train and adapt vision models based on real operating conditions, whether for inspection, sorting, or monitoring tasks. This shortens the distance between development and deployment and reduces dependence on separate data science teams.

Key Highlights:

• Specialization in computer vision systems
• Platform supporting full vision AI lifecycle
• Used in industrial and operational settings
• Designed for non-ML specialists

Services:

• Computer vision solutions
• Machine vision systems
• Vision AI platform deployment
• Model training and validation
• AI integration for automation

Contacts:

• Website: robovision.ai
• LinkedIn: www.linkedin.com/company/robovisionai
• Address: Robovision BV Foreestelaan 88, 9000 Gent Belgium
• Phone:  0899 613 236

 

6. Crunch Analytics

Crunch Analytics works at the intersection of data infrastructure and applied machine learning. Their projects typically start by organizing and preparing data before moving into forecasting, optimization, and decision support. The goal is to make data usable in planning and operational contexts rather than keeping it locked in dashboards.

Planning and commercial teams are the main users of these models. Forecasts and analytical outputs are structured to be reviewed and questioned, not hidden behind opaque logic. This makes it easier to test assumptions, adjust scenarios, and apply results directly in operational decision-making.

Key Highlights:

• Applied analytics tied to business planning
• Experience in retail and logistics contexts
• Clear and transparent modeling approach
• Strong link between data infrastructure and AI

Services:

• Data and AI strategy
• Forecasting and planning models
• Pricing and optimization analytics
• Machine learning development
• Data infrastructure setup

Contacts:

• Website: www.crunchanalytics.be
• E-mail: hello@crunchanalytics.be
• Instagram: www.instagram.com/crunch_analytics
• LinkedIn: www.linkedin.com/company/crunch-analytics
• Facebook: www.facebook.com/crunchanalytics
• Address: Rodelijvekensstraat 28/002, 9000 Gent
• Phone: +32 9 236 58 62

 

7. Endare

Endare works as a digital solutions partner, combining software engineering, auditing, and AI development within a single delivery setup. Their work typically covers web and mobile applications, backend systems, and user interface design, with AI used where it supports real operational needs rather than standing alone. Projects often sit at the intersection of product development and long-term system maintenance.

AI-related work at Endare usually involves training, implementing, and monitoring models that support existing platforms. This includes use cases such as generative AI, conversational interfaces, and deep learning components integrated into broader applications. Alongside development, they also run technical audits that assess code quality, security, and scalability, which shapes how AI solutions are deployed and maintained over time.

Key Highlights:

• Combines software engineering, auditing, and AI development
• AI embedded into existing digital platforms
• Experience with long-term system maintenance
• Covers both product development and technical assessment

Services:

• AI solutions
• Generative AI
• Conversational AI
• Deep learning
• Web and mobile development
• Backend systems
• UX and UI design
• Code auditing and technical reviews

Contacts:

• Website: www.endare.com
• E-mail: contact@endare.com
• Instagram: www.instagram.com/endarebv
• Twitter: x.com/endare_
• LinkedIn: www.linkedin.com/company/endare
• Facebook: www.facebook.com/EndareBVBA
• Address: Ottergemsesteenweg-Zuid 808b. 9000 Ghent
• Phone : 09 224 08 00

 

8. ML6

ML6 operates as an AI engineering firm delivering custom AI systems for organizations with complex technical and organizational needs. Their work spans from early-stage advisory to full delivery, covering architecture decisions, model development, and integration into enterprise environments. AI is treated as infrastructure rather than a standalone feature.

A significant part of their activity involves building agent-based and autonomous systems that interact with business processes over time. These systems are designed to learn, adapt, and operate within defined constraints. Alongside engineering, ML6 supports adoption through guidance on governance, training, and internal alignment, ensuring AI systems fit existing workflows and responsibilities.

Key Highlights:

• AI engineering with enterprise integration focus
• Experience across strategy and delivery phases
• Development of autonomous and agent-based systems
• Active in regulated and large-scale environments

Services:

• AI engineering
• AI advisory
• AI system architecture
• Agent-based AI systems
• Model deployment and integration
• AI governance support

Contacts:

• Website: www.ml6.eu
• E-mail: info@ml6.eu
• Instagram: www.instagram.com/ml6.team
• Twitter: x.com/ml6team
• LinkedIn: www.linkedin.com/company/ml6team
• Address: Esplanade Oscar Van De Voorde 1, 9000 Ghent Skyhaus BVBA BE 0502 515 626
• Phone: +32 9 265 95 50

 

9. Dropsolid AI

Dropsolid AI focuses on AI-driven digital experience platforms built on open technologies. Their work centers on integrating AI into content management, marketing automation, and personalization workflows, primarily within Drupal and Mautic environments. AI capabilities are tightly coupled with the platform layer rather than added as separate tools.

Consulting services at Dropsolid AI often start with readiness assessments and roadmap definition before moving into implementation and training. This includes guidance on compliance, internal adoption, and long-term platform governance. The goal is to help teams introduce AI gradually while keeping control over data, infrastructure, and deployment models.

Key Highlights:

• AI integrated into open digital experience platforms
• Strong alignment with Drupal and Mautic ecosystems
• Combines consulting, implementation, and training
• Focus on governance and compliance

Services:

• AI consulting
• AI readiness assessments
• AI strategy and roadmapping
• AI integration for Drupal and DXP
• Personalization and content automation
• AI training and workshops

Contacts:

• Website: dropsolid.ai
• Instagram: www.instagram.com/dropsolidGhent
• LinkedIn: www.linkedin.com/company/dropsolid-ai
• Facebook: www.facebook.com/dropsolid
• Address: Moutstraat 60 9000 Ghent, Belgium
• Phone: +32 (0) 9 395 02 90

 

10. Paperbox

Paperbox develops AI-based workflow automation tailored to insurance operations. Their solutions focus on handling incoming documents and emails, linking them to cases, and triggering structured tasks within existing systems. AI is used to reduce manual handling rather than replace human decision-making.

The system is built in phases, starting with mail triage and document classification, then expanding into intent recognition and automated actions. This allows insurance teams to manage workloads more predictably and gain visibility into processes that were previously fragmented across inboxes and tools.

Key Highlights:

• AI applied to insurance workflow automation
• Structured approach to document and email handling
• Designed around operational use, not experimentation
• Supports phased implementation

Services:

• Smart mailroom solutions
• Document classification
• Intent recognition
• Workflow automation
• Task creation and routing
• Process analysis

Contacts:

• Website: www.paperbox.ai
• E-mail: info@paperbox.ai
• Address: Lammerstraat 13, 9000 Gent
• Phone: +32471211756

 

11. Delaware

Delaware works as a consulting and delivery partner for organizations dealing with complex operational environments. Their work covers areas such as ERP, finance, IT, employee experience, and customer experience, with AI used as part of broader transformation programs rather than as a standalone layer. Most projects sit close to core systems, where reliability, governance, and integration matter more than experimentation.

Within AI consulting in Gent, Belgium, Delaware typically applies AI and data capabilities to improve decision-making, automation, and insight across existing platforms. This includes work related to analytics, generative AI, and intelligent process support, often tied to enterprise technologies like ERP and CRM systems. The approach reflects a focus on long-term operational use, where AI needs to align with organizational structure, compliance requirements, and day-to-day processes.

Key Highlights:

• AI applied within large-scale enterprise environments
• Strong connection between AI, data, and core business systems
• Experience across operations, finance, IT, and customer domains
• Focus on integration, governance, and sustainable use

Services:

• AI consulting and advisory
• Data and analytics
• Generative AI integration
• ERP and enterprise system support
• Process automation
• Change and adoption support

Contacts:

• Website: www.delaware.pro
• Instagram: www.instagram.com/delawarebelux
• Twitter: x.com/delawareBeLux
• LinkedIn: www.linkedin.com/company/delawarebelux
• Facebook: www.facebook.com/delawareBeLux
• Address: Amelia Earhartlaan 10, 9051 Gent
• Phone: 09 241 02 00

 

12. In The Pocket

In The Pocket operates as a digital product studio that combines strategy, design, and engineering. Their work often starts with defining direction and structure before moving into product and platform development. AI is approached as part of product thinking, embedded into digital services where it can support users and business goals in practical ways.

Basically, In The Pocket accents on strategy, transformation, and execution rather than isolated model development. This includes helping organizations define how AI fits into products, platforms, and internal processes, followed by hands-on development and integration. Attention is given to usability, system design, and how AI-driven features behave once they are part of real products used at scale.

Key Highlights:

• Combines AI strategy with product and platform delivery
• Strong link between design, engineering, and AI use
• Focus on real-world product integration
• Works across public and private sector projects

Services:

• AI strategy and transformation
• AI product development
• Digital product design
• Platform and backend development
• Cloud and API engineering
• Expertise building and team support

Contacts:

• Website: www.inthepocket.com
• Instagram: www.instagram.com/inthepocket
• LinkedIn: www.linkedin.com/company/in-the-pocket
• Address: Dok noord Sassevaartstraat 46/401, 9000 Ghent, Belgium
• Phone: +32 9 234 34 25

Final Thoughts

Gent’s AI consulting landscape reflects how the city itself works. Technical depth comes first, but it is usually tied to real systems, real constraints, and real people who have to live with the outcome. AI here is rarely treated as an isolated experiment. It is more often woven into existing platforms, processes, and products that already carry operational weight.

What stands out is the range of ways AI is applied. Some teams work close to enterprise systems and long-term transformation. Others sit nearer to product development, automation, or data-heavy decision support. That variety gives organizations room to choose an approach that fits their situation, whether the priority is stability, speed, or gradual adoption.

Overall, AI consulting in Gent feels practical by default. The focus tends to stay on making things usable, maintainable, and aligned with how work actually happens. For companies exploring AI in this environment, the challenge is less about finding capability and more about choosing a partner whose way of working matches their own pace and structure.