The right models for the right problem
Holistic Relationship Matters. HolisticRM is a Hungary-based AI development agency. Our AI experts build custom machine-learning models, fine-tune existing language models and connect agents to your business workflows.
Experience across energy, manufacturing, space, banking, insurance, retail, ecommerce and healthcare.
136+ AI models deployed
Trusted by 5 banks
Selected by ESA for 8 AI projects
21+ years of expert AI-development experience. Banking experience includes company, partner and earlier expert roles. Explore our references → ESA project roles and stages →
Our Customers with Holistic Experience
Explore our client and project experience, alongside our research and programme ecosystem. Each logo is labelled with its context.
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Read client testimonials
What clients say about working with us
Cofidis Hungary
“one of our most reliable partners”
Machine-learning models supporting cross-sell, call-centre optimisation and digital channels.
Barbara Míves · Head of CRM & XSell, Cofidis Hungary
Role as credited in the published testimonial.
Kifli
“we managed to quadruple our user count”
János Makkay describes the team’s 2021 collaboration on digital acquisition and a four-month growth period.
Makkay János · Former CEO of Kifli
Synergy Construction
Hasan Kurt describes a collaboration spanning more than six years and several organisations, covering digital presence, acquisition, analytics and practical recommendations.
Hasan Kurt · Chief Development Officer, Synergy Construction
Summary of the published testimonial.
Edelholz
Péter Vavra describes improvements in organic-search visibility and the growing importance of digital channels for the business.
Péter Vavra · Managing Director, Edelholz Kft.
Summary of the published testimonial.
UNIQA
“forward-thinking, flexible, problem-solving and very calm attitude”
Collaboration on digital customer acquisition and recruitment.
Mónika Sztankovits · Head of Marketing, UNIQA insurance
Role as credited in the published testimonial.
Custom AI models
Models designed, trained and evaluated around your business problem, data and operating constraints.
Predictive AI
Forecast demand, anticipate delays and identify customer or operational patterns.
LLM fine-tuning
Adapt language models to technical knowledge, documents and specific business tasks.
AI agents
Connect specialised agents and existing tools to useful, controlled workflows.
Computer vision
Extract useful information from images and combine it with business context.
Geospatial AI
Bring Earth observation, location and predictive models into the same decision.
Recommendations
Support next-best-offer, relevant customer journeys and resource allocation.
Deploy & improve
Integrate models into your systems, monitor agreed measures and refine performance.
Own your models. Applied to real business challenges.
We develop and fine-tune AI models ourselves. That engineering depth helps us choose the right approach, understand its limits and connect it to the task.
Banking & recommendation models
Ecommerce · recommendation models · 2017
NetPincér’s AI story, on the Microsoft stage
Satya Nadella featured NetPincér at Future Decoded in Hungary. Microsoft’s account described how machine learning helped customers discover their next meal. HolisticRM’s reference portfolio documents our recommendation-model work on the historical NetPincér project.
“The story of Netpincer really inspired me. Founded by two university students, the company offers over 600 restaurant options for busy Hungarians. Netpincer uses machine learning and, more recently, a chatbot to recommend food that customers might be craving – even if they don’t know it yet. The service is so good at predicting what customers will want that 80 percent of those who use the service order the food that was recommended to them.”
Don Grantham · President, Microsoft Central and Eastern Europe
Microsoft News Centre Europe · 31 March 2017
The reported 80% describes users of the recommendation service who ordered the recommended food, as reported in 2017.
Read the Microsoft story ↗Our recommendation-model reference →
Industry knowledge. Custom AI.
Banking, insurance, space, energy and healthcare bring domain-specific requirements for data handling, validation and the decisions a model supports. Our work also spans manufacturing, retail and ecommerce.
High-trust sector
Energy
Solar-site selection, infrastructure planning and forecasting with geospatial and predictive AI.
Applied AI
Manufacturing
Technical-language workflows, supplier-delay prediction and product-data analysis.
High-trust sector
Space
Navigation-system performance, Earth observation and geospatial modelling.
High-trust sector
Banking
Offer-affinity, next-best-action, retention and operational analytics.
High-trust sector
Insurance
Propensity modelling, service workflows and product-information retrieval.
Applied AI
Retail
Store-location decisions, demand signals and relevant recommendations.
Applied AI
Ecommerce
Recommendation models, next-best-offer and operational forecasts.
High-trust sector
Healthcare
Capacity planning, service analytics and knowledge workflows, with use-case-specific validation.
These are example use cases to explore. Each requires its own data, scope and validation. Related experience is detailed in our reference portfolio; healthcare examples do not claim clinical AI efficacy.
Our holistic approach to AI development
Improve the data. Refine the model. Evaluate the business result.
AI is more than LLMs. We connect domain knowledge, relevant data and the right model for the decision you want to improve. Our Holistic Agile ML approach builds on CRISP-DM and draws on the business-led, iterative principles of PMI’s CPMAI methodology.
Develop the right data
We work with domain experts to understand what the data means, improve its quality and create useful features. Where relevant, we enrich the inputs with additional context. More data needs to be useful, reliable and appropriate to the task.
Refine how the model learns
We start with a practical baseline, then compare suitable model families, training settings and task-specific adaptations. We combine models when the evidence supports it. Each client receives a bespoke model set, tailored to the business case. We combine relevant domain data and modelling architectures, then test which combination delivers the strongest result within the agreed constraints.
One objective. Controlled validation.
Both tracks are evaluated against the same business goal. We agree success criteria and compare technical performance with practical use, inference cost, response time and operating constraints. Controlled validation, versioned releases and feedback guide integration and ongoing improvement.
Through GlobAI.ly, we collect international AI practices and assess how they can improve the service we deliver to clients.
Our AI Development Approach → Methodology foundations: CRISP-DM ↗ · PMI CPMAI ↗
How we start working together
You do not need a model specification. Bring the business decision or process you want to improve.
- Define success. Agree the problem, business baseline, available data and acceptance criteria.
- Build and validate. Compare suitable approaches and evaluate the model for its intended use.
- Integrate and deploy. Connect the model to your workflow, with appropriate access and human review.
- Monitor and refine. Track agreed measures and validate changes before updating production models.
INNOspace Masters 2026
Top 3 Winner · Mercedes-Benz car2space Challenge
Our SpaceFlow Swarm Mobility Intelligence innovation was named a Top 3 Winner in the challenge. The 2026 competition received 313 submissions from 38 countries.
The final ranking and Overall Winner are expected on 12 November 2026.
According to our company records, HolisticRM is the only Hungarian company to receive an INNOspace Masters award in the past ten years.
See the organiser’s announcement ↗
Explore our SpaceFlow innovation →
European AI and space innovation
Trusted by ESA on eight AI projects. Our experience connects custom model development with navigation, Earth observation and geospatial applications. Project roles and current stages are described on our Space AI page.
IPCEI–AI / ShAIr.ly. We contribute to the development of secure European AI infrastructure and distributed model development, collaborating through a network spanning 12 countries and 33 partners.
Our own AI-platform development also includes a DIMOP Plusz programme. These initiatives support our engineering work and are presented separately from awards.
Machine Learning Boosted SEO & Organic Customer Acquisition
Boost your SEO performance. We do Keyword research based on your website and your competitor’s site looking for potential effective keywords. Machine learning algorithm selects similar phrases and we do recommend content and ad phrase changes based on effectiveness score. Our customers managed to improve their google organic ranking from 42 place to 2nd place within 3 month.
Our holistic approach mimics google ranking machine learning algorithm improving all major driving factors simultaneously. For content we apply AI Content Recommendation, at the same time technical detailed tasks are created and backlink are being built. Ask your sample report.
Boost Digital PPC Ads with Machine Learning
Our BeSpatial.AI solution helps your business to focus budget to geographic area look-a-like to your best customers neighbourhood. Find your potential customers Machine Learning and Geotargeting. We worked with European Space Agency to provide you the best available models leveraging earth observation date (satellite images) and Geospatial (GeoX indexes). More than 12463 variable describes each potential neighbourhood. We can differentiate with 86% accuracy good and bad locations for B2C digital and offline ads.
We make locational marketing quick and simple for you with machine learning. It is not a rocket science anymore. Learn more about how to get your location-based marketing quick booster.
Channel and Campaign Performance Optimisation with AI
We help you to create, automate and optimize performance of your campaign portfolio both for digital ads (PPC) and across various customer lifecycle stages. We have helped multiple customers to increase their digital sales by one fold within 9 months.
AI recommendations Across Customer Journey
We do session based AI recommendations for new customers and session plus next best offer models for onboarded customers. Book a free appointment if you need more information about how to hyper personalize your cross-sell with machine learning.
Our machine learning solution has been presented as first AI use-case on Microsoft platform by Microsoft CEO Satya Nadella
Campaign Budget Optimization machine learning model
We can optimize spending not just within ads platform but with deep learning model we can optimize cross-platform campaigns budgets to maximize business benefit from the given budget. Book an appointment to learn more about performance optimization.
Rich Business Messaging across Customer Journey
We do omnichannel optimisation and integrating High performing XSell channels into the mix such as Rich Business Messaging (RBM). RBM channel has 3x higher conversion rates compared to email in app engagement. RBM has 10-17x higher engagement marketing sales campaigns. 65% increase in debt collection rates.
Machine Learning driven Location Optimization
Time to expand geographically? Should you need a new customer servicing location? Should you optimize your branch network after a merger or acquisition?
We can help you to identify best location for a new store, new branch, new charging station, retail shop or restaurant. We have built several Machine Location optimization models for banking, retail, oil, energy, space, HoReCa sector.
Convert your data to Ebit
We help you create holistic data acquisition and management strategy build your data lake to support your sales and marketing engine and monitoring your business performance. Track your Digital Acquisition Factory performance with Holistic Dashboard. We have experience in various industries across the EMEA region in business value driven data consolidation projects.
Questions about your AI project
What kind of AI development agency is HolisticRM?
HolisticRM develops custom machine-learning models, fine-tunes existing language models and integrates AI agents into business workflows. We start with the business problem, available data and a validation plan, then connect the selected approach to the systems and people using it.
How does an AI expert support our project?
Our AI experts help define the objective, assess the data, compare model approaches and agree acceptance criteria. They work with your domain specialists on evaluation, integration and monitoring so that technical decisions stay connected to the task.
Does our project need an LLM?
That depends on the task. Language and document workflows may suit an LLM. Forecasting, image analysis or constrained decisions may need other models. We compare options against your objective, data and operating constraints.
Can we start before our data is perfect?
Yes. An initial conversation can clarify what data exists, what is missing and whether a useful pilot is feasible. We agree data requirements and a validation plan before making a delivery commitment.
Can the model work with our existing systems?
Integration is part of the project design. We review your systems, deployment options, access requirements and review process, then agree the architecture and scope.
Let’s find the right AI for your business
Tell us which decision, process or customer experience you want to improve. A short outline is enough to start.
Choose a time in our existing calendar. Opens in a new tab.
In the first conversation
- Your business challenge and operating context
- The data and expertise available
- A practical next step and what it needs
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