Cut through the hype and solve business problems with smart AI solutions.

Combler.AI is for business leaders who don't want to be left behind, or waste time (or budget) on the wrong AI solution.

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You've heard it all: AI will fix your workflow, cut your costs, organize your chaos.

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But here's the truth: Not every business problem can or should be solved with AI.

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The AI hype is loud. And when everyone's trying to sell you a solution, how do you know who to trust?

About us

Your partner for AI solutions and guidance.

We build custom AI solutions that actually impact your bottom line.


Combler.AI was started by a team of passionate experts with 20+ years experience who wanted to bring integrity back to AI. We navigate businesses through the ever-changing and sometimes unfamliar AI landscape by empowering them with relevant technical knowledge.

Foundational Knowledge


Combler brings expertise that predates—and outpaces—today’s fleeting AI trends, with a breadth of technical capability and an extensive (and evolving) toolkit.

Business-First Solutions


Every solution we implement works within your business's broader context. We're here to match the problem to the right tech, never losing focus on the business outcome.

Ongoing Support


From scoping the issues to implementing and maintaining your tailored solution, we have committed ourselves to be a trusted partner providing you with full-spectrum delivery.

about us

We scope the real problem, then choose the right tech

Combler begins where it matters: your business's biggest pain points. We diagnose the real problems in context, from process, to people, data, and constraints, before choosing any technology. Then we design an effective, efficient approach that fits your organisation and actually moves the metrics that matter.

Florence brings years of experience in project management and consulting


She turns strategy into simple, effective solutions, leading cross-disciplinary work at the business and IT intersection so technology serves people, and drives lasting improvement through data, innovation, and teamwork.

Florence Gerono, MSc
Program Manager

Danny is a Computer Science specialist with over 20 years of experience


His expertise spans information/data visualization, computer graphics, and AI/ML. He builds high-performance apps, from server and desktop to advanced web.

Danny Holten, PhD
Co-founder

Bart is an experienced IT manager and certified Lean Black Belt


With over 10 years' experience, he drives sustainable IT transformation and process optimisation, bridging users and technology with data-driven solutions that streamline operations and build data/AI capability.

Bart Conjaerts, MSc
Co-founder

Services

AI QuickStartIdentify business challenges that AI can address
Consultancy and EducationWe help demystify the evolving world of AI
Custom-built AI solutionsWe build AI and adjacent software to solve real challenges
AI QuickStart

Identify business challenges that AI can address

Before partnering on AI consultancy or implementation, we begin with a structured, in-depth project where we proactively examine your available data.

Schedule AI QuickStart
01

AI QuickScan

We conduct qualitative asssessments to identify challenges within your organization that can be addressed through AI or AI-related solutions.

02

Data Scan

We use advanced AI methods to uncover hidden value from your available data. We analyze data from databases, logs, cloud storage and data lakes to reveal trends, patterns and anomalies.

Schedule AI QuickStart
Consultancy and Education

We help clarify the evolving world of AI

We want the benefits of AI technologies and platforms to be accessible, no matter your tech literacy. We provide comprehensive education, training and consultancy for you and your business that caters to a range of AI literacy levels.

More Info on AI Education
01

AI Consultancy

Our experienced developers and consultants provide in-depth advice and guidance to C-suite and senior leadership. We deliver strategic advice tailored to your business, demonstrating how AI and data technologies can address your business challenges, a service that's offered as an alternative to, or in combination with, our other services.

02

Business Implementation

Implementing strategic AI tech and practices into your business can come with a learning curve. We offer targeted training to ensure your specific plan can be put into practice by your team. We guide you through the integration of AI processes, providing team members with training that pinpoints your organisation's unique business use cases.

03

AI Inspiration Sessions, Workshops, and Training

We'll help you better understand how AI can benefit your company with workshops and training that suit a range of AI aptitude levels. We offer training on how to get the most out of existing products such as LLMs like ChatGPT, Claude, or Llama, and image/video generators such as DALL·E, Midjourney, Stable Diffusion, FLUX, KLING, and Veo.

More Info on AI Education
Custom-built AI solutions

We build AI and adjacent software to solve real challenges

Where AI adds value, we use state-of-the-art models (e.g., Python/ML/ANN). Where it doesn’t, we deliver with non-AI methods, including statistics, clustering, analytics, and interactive visualization.

01

We develop technical AI and AI-related solutions to address real-world operational and IT-related business challenges, using both on-premise (non-cloud) and cloud-based architectures. These solutions incorporate state-of-the-art AI models implemented in languages such as Python, and often center on machine learning (ML) techniques powered by artificial neural networks (ANNs). Many also integrate non-AI methods — such as statistical analysis, clustering, data analytics, and interactive visualization — to enhance functionality and insight. We can also design and build solutions that rely exclusively on these non-AI technologies.

02

Cloud vs Local

AI models often demand significant computational resources, which local computers or servers may not be able to provide. Additionally, many large models, especially commercial ones, are not available for download or local deployment. As a result, a trade-off must be made between which parts of a solution can run locally (on-premise) and which require cloud-based infrastructure. Cloud deployments may involve either open-source models hosted by us or by the client, or closed-source models accessed via APIs and hosted by third-party providers, such as OpenAI’s API Platform. When handling sensitive data, this choice becomes even more critical. In the EU, the General Data Protection Regulation (GDPR) imposes strict rules on data privacy. Determining what data can be processed locally versus what can be sent to the cloud must be carefully evaluated for compliance and risk mitigation. For small- and medium-scale use cases, AI solutions can also run on proprietary high-performance hardware in an on-premise setup. We offer support for such configurations, including provisioning and maintenance. Suitable hardware includes NVIDIA’s DGX Spark and DGX Station systems, or comparable high-performance solutions from vendors like ASUS, Dell, Gigabyte, HP, Lenovo, and MSI that also feature the NVIDIA Blackwell GPU architecture.

03

Existing AI Tools & Services

When a custom-built AI solution is unnecessary, we provide consultancy on the effective use of existing third-party AI tools. This includes large language models such as ChatGPT, image and video models like DALL·E, FLUX, Sora, Veo, and KLING, as well as other off-the-shelf AI applications. We focus on prompt improvement to enhance model output quality, and provide guidance on model limitations and the suitability of specific AI tools for concrete business needs.

How we work

Over 20 years of data science, machine learning and software development, shaping a proven and effective way of working.

Built on Experience, Not Hype


With over two decades of hands-on software development, AI, data, and research knowledge, we're more than a consultancy provider. We develop technical solutions across various areas such as computer vision; AI-driven assistants; data transformation and generation; and interactive visual data analytics.

End-to-end Service


Combler stays up-to-date from diagnosis and development, through to deployment and beyond. We provide consultancy and advice through every phase, so you’re never left wondering what’s next.

AI That Moves the Needle


Combler doesn’t just drop in the 'best-fit' AI. We build solutions that solve business problems, streamlining operations and delivering results where they matter most.

We start with the problem, then identify the best-fitting tech.

01

Understanding your problems

We assess your business pain points and identify the root causes, not just symptoms.

You get: Clear problem identification, success-validation criteria, a solution roadmap and (if useful) a quick data check.

02

Building a solution

We design, then engineer the right solution. We incorporate AI where it adds value by solving problems or optimizing processes.

You get: a technical design and work prototype based on agreed acceptance criteria.

03

Deploying your fit

We integrate our solution into your on-premise or cloud environment, testing it with reliability in mind.

You get: a fully working implementation with user training, so individuals and teams can adopt with confidence.

04

Implementing into your business

We guide you through the integration of AI processes so you can put your specific plan into action.

You get: Training for your team members that pinpoints your organisation's unique business cases.

05

Here after launch

We keep things stable and improving after launch with ongoing expert support — no drop-off here.

You get: Optimal support to ensure the solution can be used to its full extent, as well as maintenance and updates if required.

Use cases

Computer Vision in the Field

AI-powered vision monitors real-world operations in motion, turning on-site activity into actionable insights.

AI-powered computer vision systems can be deployed in mobile environments — such as aircraft — to discreetly monitor the timing and delivery of meals and drinks by cabin staff. Building on prior implementations in static settings like restaurants, this solution adapts to the added complexity of movement, confined spaces, and variable lighting. Real-time inventory tracking supports smarter in-flight decisions, while KPI-based dashboards enable post-flight analysis to improve procurement and resupply. Post-meal image analysis also reveals which food items are consistently left uneaten, guiding data-driven improvements in future catering offerings.

AI-driven Insights

Multimodal AI transforms complex data into clear, tailored insights through visuals, language, and storytelling.

By combining large language models (LLMs) with advanced visualization algorithms, we analyze vast amounts of unstructured business and process data to uncover patterns, trends, and anomalies — automatically generating detailed, actionable insights. Instead of relying solely on static dashboards or rigid KPIs, we deliver multimodal outputs — including dynamic visualizations, text summaries, slide decks, and even avatar-driven video presentations — to provide clear, user-friendly overviews and tailored recommendations.

Synthetic Data Generation

Create high-quality, privacy-safe synthetic data on demand to power ML, simulation, and testing.

Generative AI empowers businesses to create high-quality synthetic data for training machine learning (ML) models, simulating scenarios, or filling data gaps quickly and without compromising privacy. With LLM-powered interfaces, users can define dataset requirements in natural language, enabling the generation of tailored, representative data. This reduces dependency on costly or sensitive real-world data, and supports use cases such as balanced dataset creation, market simulation, and risk-free software testing using anonymized, non-production data.

Data Transformation

Generative AI cleans, enriches, and prepares data automatically — making high-quality data accessible to everyone.

Generative AI streamlines the cleansing, validation, and augmentation of raw data by detecting inconsistencies, filling gaps, and enriching datasets with accurate, representative, synthesized information. LLM-based interfaces allow users to interact naturally using text or speech prompts, making complex data preparation accessible across the organization. The result is cleaner data, fewer bottlenecks, and improved efficiency in downstream analytics and machine learning (ML) processes.

Computer Vision in the Field

AI-powered vision monitors real-world operations in motion, turning on-site activity into actionable insights.

AI-powered computer vision systems can be deployed in mobile environments — such as aircraft — to discreetly monitor the timing and delivery of meals and drinks by cabin staff. Building on prior implementations in static settings like restaurants, this solution adapts to the added complexity of movement, confined spaces, and variable lighting. Real-time inventory tracking supports smarter in-flight decisions, while KPI-based dashboards enable post-flight analysis to improve procurement and resupply. Post-meal image analysis also reveals which food items are consistently left uneaten, guiding data-driven improvements in future catering offerings.

AI-driven Insights

Multimodal AI transforms complex data into clear, tailored insights through visuals, language, and storytelling.

By combining large language models (LLMs) with advanced visualization algorithms, we analyze vast amounts of unstructured business and process data to uncover patterns, trends, and anomalies — automatically generating detailed, actionable insights. Instead of relying solely on static dashboards or rigid KPIs, we deliver multimodal outputs — including dynamic visualizations, text summaries, slide decks, and even avatar-driven video presentations — to provide clear, user-friendly overviews and tailored recommendations.

Synthetic Data Generation

Create high-quality, privacy-safe synthetic data on demand to power ML, simulation, and testing.

Generative AI empowers businesses to create high-quality synthetic data for training machine learning (ML) models, simulating scenarios, or filling data gaps quickly and without compromising privacy. With LLM-powered interfaces, users can define dataset requirements in natural language, enabling the generation of tailored, representative data. This reduces dependency on costly or sensitive real-world data, and supports use cases such as balanced dataset creation, market simulation, and risk-free software testing using anonymized, non-production data.

Data Transformation

Generative AI cleans, enriches, and prepares data automatically — making high-quality data accessible to everyone.

Generative AI streamlines the cleansing, validation, and augmentation of raw data by detecting inconsistencies, filling gaps, and enriching datasets with accurate, representative, synthesized information. LLM-based interfaces allow users to interact naturally using text or speech prompts, making complex data preparation accessible across the organization. The result is cleaner data, fewer bottlenecks, and improved efficiency in downstream analytics and machine learning (ML) processes.

Computer Vision in the Field

AI-powered vision monitors real-world operations in motion, turning on-site activity into actionable insights.

AI-powered computer vision systems can be deployed in mobile environments — such as aircraft — to discreetly monitor the timing and delivery of meals and drinks by cabin staff. Building on prior implementations in static settings like restaurants, this solution adapts to the added complexity of movement, confined spaces, and variable lighting. Real-time inventory tracking supports smarter in-flight decisions, while KPI-based dashboards enable post-flight analysis to improve procurement and resupply. Post-meal image analysis also reveals which food items are consistently left uneaten, guiding data-driven improvements in future catering offerings.

AI-driven Insights

Multimodal AI transforms complex data into clear, tailored insights through visuals, language, and storytelling.

By combining large language models (LLMs) with advanced visualization algorithms, we analyze vast amounts of unstructured business and process data to uncover patterns, trends, and anomalies — automatically generating detailed, actionable insights. Instead of relying solely on static dashboards or rigid KPIs, we deliver multimodal outputs — including dynamic visualizations, text summaries, slide decks, and even avatar-driven video presentations — to provide clear, user-friendly overviews and tailored recommendations.

Synthetic Data Generation

Create high-quality, privacy-safe synthetic data on demand to power ML, simulation, and testing.

Generative AI empowers businesses to create high-quality synthetic data for training machine learning (ML) models, simulating scenarios, or filling data gaps quickly and without compromising privacy. With LLM-powered interfaces, users can define dataset requirements in natural language, enabling the generation of tailored, representative data. This reduces dependency on costly or sensitive real-world data, and supports use cases such as balanced dataset creation, market simulation, and risk-free software testing using anonymized, non-production data.

Data Transformation

Generative AI cleans, enriches, and prepares data automatically — making high-quality data accessible to everyone.

Generative AI streamlines the cleansing, validation, and augmentation of raw data by detecting inconsistencies, filling gaps, and enriching datasets with accurate, representative, synthesized information. LLM-based interfaces allow users to interact naturally using text or speech prompts, making complex data preparation accessible across the organization. The result is cleaner data, fewer bottlenecks, and improved efficiency in downstream analytics and machine learning (ML) processes.

Contact

Questions or problems? Interested in working with us? Get in touch.

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