Leading LLM Consulting Companies in Europe Right Now

Mobian Studio works as a software development company based in Europe that puts together dedicated engineering teams for client projects. We design and build digital platforms, from mobile apps to enterprise systems, with teams that work only on one project to avoid split focus. The code gets written in a way that supports later changes and growth, and they handle integration with what a company already uses.

Our expertise covers advanced technologies like AI and cloud tools alongside full-stack development. LLM consulting is included as one of our services. Our teams bring in knowledge from fields such as telecommunications, fintech, logistics, e-commerce, and healthcare, and they stick around after launch for support and updates.

Key Highlights:

• Dedicated teams that work exclusively on a single project
• Long-term support and maintenance after deployment
• Use of modern frameworks for scalable systems
• Experience across multiple industries including healthcare and fintech

Services:

• Custom software development
• Team augmentation with specialists
• End-to-end platform building
• Integration of AI and cloud infrastructure
• Ongoing product growth and optimization

Contacts:

• Website: mobian.studio
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/mobian-studio
• Address: Harju maakond, Tallinn, Kesklinna linnaosa, Masina tn 22, 10113

DataToBiz provides consulting and implementation for large language models tailored to business needs. With their strong presence in multiple continents including Asia, Africa, Europe, Australia, and the Middle East, they handle the full process from planning and data preparation to model training, fine-tuning, and deployment, with options for on-premise or private cloud setups to keep data secure. The focus stays on fitting LLMs into existing workflows for tasks like customer support or content handling.

They work across sectors such as healthcare, finance, e-commerce, retail, marketing, and research. Deployments include open-source models, custom integrations, retrieval-augmented generation setups, and building AI agents that connect to company tools.

Key Highlights:

• Full-cycle LLM development and integration
• Options for private or on-premise deployments
• Step-by-step approach from design to optimization
• Support for multiple industries and use cases

Services:

• Open-source LLM setup
• Custom training and fine-tuning
• RAG-based LLM development
• Private or on-premises LLM creation
• AI agent development
  

Contacts:

• Website: www.datatobiz.com
• Instagram: www.instagram.com/datatobiz
• LinkedIn: www.linkedin.com/company/datatobiz
• Twitter: x.com/DataToBiz
• Facebook: www.facebook.com/datatobiz
• Address: 99 Wall Street, #1819 New York, NY 10005
• Phone: +1 628 2511377

Equixly builds AI-powered tools for testing APIs and finding security issues throughout development. Their platform runs automated scans that simulate attacks, map out API structures and dependencies, and check against common risks like those in the OWASP Top 10. This setup helps teams spot problems early and fix them faster while keeping track of data flows and compliance needs.

They also address security risks that come up when large language models connect to APIs or other systems, including specific vulnerabilities in LLMs. Research and tools cover areas like prompt injection, model theft, and issues in LLM plugins or supply chains.

Key Highlights:

• Automated continuous testing for APIs
• Mapping of API landscapes and dependencies
• Simulation of real-world attacks for vulnerability detection
• Focus on risks in LLM-integrated systems

Services:

• Continuous security testing
• API penetration testing
• Attack surface mapping
• Compliance and risk reporting
• Testing for LLM-specific vulnerabilities

Contacts:

• Website: equixly.com
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/equixly
• Address:  Equixly – Local Office Via Evangelista Torricelli, 8/A, 37135 Verona, Italy

InteliGems builds private and governed AI systems based on their open-source Odyssey AI platform. They create multi-agent setups that run on-premise or in private clouds, with features like role-based access, audit trails, and built-in controls to handle compliance needs. The focus stays on deployments where companies keep full ownership of the models and data, without ongoing subscription costs.

Their work includes domain-specific fine-tuning, retrieval-augmented setups that connect to company tools, and agent workflows that can include human approval steps. Teams handle everything from quick prototypes to full production systems, often starting with business processes and adding guardrails for accuracy and security.

Key Highlights:

• Open-source core platform with no vendor lock-in
• On-premise or private cloud deployment options
• Built-in governance tools and compliance templates
• Multi-agent systems with real-time monitoring

Services:

• Custom AI agent development
• Domain fine-tuning of models
• Private LLM instance setup
• Retrieval-augmented generation integration
• Compliance-focused AI governance

Contacts:

• Website: www.inteligems.io
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/inteligems-labs
• Twitter: x.com/inteligemslabs
• Phone: +1 (702) 805-8501

InData Labs runs AI and data science projects that cover generative AI alongside traditional machine learning. They take ideas from concept checks and proofs of concept to minimum viable products and full custom solutions, including model training or retraining for specific business needs.

The team works on natural language processing tasks, chatbot building, and integrating large language models into software or mobile apps. Projects often involve sentiment analysis, content generation, or enhancing data analytics with LLMs in areas like gaming, logistics, or healthcare.

Key Highlights:

• Proof of concept and MVP development for AI ideas
• Custom model building and retraining
• Integration into web and mobile applications
• Work across multiple industries with existing clients

Services:

• Generative AI solution development
• AI chatbot and NLP implementation
• Custom model training
• LLM-enhanced data analytics
• AI software integration

Contacts:

• Website: indatalabs.com
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/indata-labs
• Twitter: x.com/InDataLabs
• Facebook: www.facebook.com/indatalabs
• Address: 333 S.E. 2nd Avenue, Suite 2000, Miami, Florida, 33131, USA
• Phone: +1 305 447 7330

Leobit provides software development that incorporates generative AI and large language models into client applications. They integrate models like GPT variants, LLaMA, or Gemini through APIs or custom setups, adding features such as chatbots, content tools, or automated workflows.

Their process starts with assessing needs and infrastructure, then moves to feasibility studies, roadmaps, and actual building or fine-tuning. The company operates from several European locations and handles full-cycle projects that mix AI with regular software stacks.

Key Highlights:

• Integration of third-party LLM APIs
• Support for multiple generative models
• European bases in several countries
• Full development from strategy to deployment

Services:

• Generative AI model integration
• AI chatbot and assistant building
• Custom software with LLM features
• AI consulting and roadmap creation
• Model selection and prototyping

Contacts:

• Website: leobit.com
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/leobit
• Facebook: www.facebook.com/LeobitLLC
• Address: 104 Westbourne Terrace, W2, Development Center, London, UK
• Phone: +1512-399-5386

LeewayHertz handles the full cycle of large language model work for companies that need custom setups. They start with consulting to map out what a business requires, then move to building new models from scratch or fine-tuning existing ones like GPT, Llama, or PaLM so the output fits specific tasks. The team prepares data, trains models, and makes sure everything lines up with the way a company already works.

After the model is ready, they integrate it into existing systems such as customer platforms or content tools, and they keep providing support to fix issues or adapt to new data. Their projects often end up as chatbots, document processors, sentiment tools, or speech systems that run without interrupting daily operations.

Key Highlights:

• Building LLMs from the ground up when needed
• Fine-tuning of open and closed models for domain tasks
• Focus on smooth integration with low downtime
• Ongoing model monitoring and updates

Services:

• LLM consulting and strategy
• Custom model development
• Model fine-tuning and transfer learning
• Integration into enterprise systems

Contacts:

• Website: www.leewayhertz.com
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/leewayhertz-technologies
• Twitter: x.com/LeewayHertz
• Facebook: www.facebook.com/LeewayHertz
• Address: 5th Floor, Tower C, Unitech Cyber Park Sector 39, Gurugram Haryana 122001

SoloWay Technologies offers AI consulting and development with a practical path from idea to working solution. They begin by looking at business goals and data setup, then run feasibility checks and build proofs of concept to test if an AI approach makes sense. Once the direction is clear, the team handles model selection, training, and deployment.

Their work covers generative AI for content, predictive modeling, natural language processing, and agent-based automation. Projects include conversational tools, document handling systems, fraud detection setups, and process automation that fit into existing software without major rebuilds.

Key Highlights:

• Step-by-step process from strategy to ongoing support
• Mix of generative AI and traditional machine learning
• Retrieval-augmented generation for reliable outputs
• Compliance-aware development across regulated fields

Services:

• AI strategy and roadmap creation
• Proof of concept and feasibility studies
• Custom LLM and NLP solutions
• AI agent and chatbot building
• Model deployment and optimization

Contacts:

• Website: soloway.tech
• E-mail: [email protected]
• Instagram: www.instagram.com/soloway_tech
• LinkedIn: www.linkedin.com/company/soloway-tech
• Twitter: x.com/SolowayTech
• Facebook: www.facebook.com/soloway.tech
• Address: 7 Bell Yard Street, London, WC2A 2JR, England
• Phone: +442045772587

Addepto provides enterprise AI consulting with a focus on getting solutions into real production use. They run a full discovery phase to find where AI adds value, then design and build custom models or platforms that work with a company’s existing data flows. Their ContextClue system uses large language models to organize and search internal knowledge, especially in manufacturing and regulated sectors.

The team handles data engineering, model training, MLOps pipelines, and deployment so the AI keeps running reliably over time. Projects often involve supply-chain tracking, demand forecasting, or document automation where European compliance rules play a big role.

Key Highlights:

• End-to-end from discovery workshops to production systems
• ContextClue platform for industrial knowledge access
• Strong MLOps and deployment practices
• Experience with European manufacturing and logistics clients

Services:

• AI strategy and opportunity mapping
• Custom model development
• Generative AI and LLM deployment
• Data engineering and pipeline building
• Ongoing optimization and support

Contacts:

• Website: addepto.com
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/addepto
• Twitter: x.com/addepto
• Facebook: www.facebook.com/addeptoanalytics
• Address: Addepto sp. z o.o. Świeradowska 47, 02-662 Warsaw, Poland

Aleph Alpha develops and deploys its own family of large language models with a clear focus on sovereignty and transparency. Their Pharia suite lets organizations run models on-premise or in controlled environments, keeping data and processes inside company boundaries. Explainability tools show how outputs are formed, which helps in regulated fields like public sector or finance.

They offer ready assistants, custom fine-tuning, and full enterprise setups that avoid vendor lock-in. Use cases range from automated contract checks and engineering support to secure search agents that pull from internal documents without sending data outside.

Key Highlights:

• European-based models with on-premise options
• Built-in explainability and compliance features
• Pharia platform for controlled AI workflows
• No fixed vocabulary tokenization for better flexibility

Services:

• Sovereign LLM deployment
• Custom model adaptation
• Explainable AI integration
• Enterprise assistant building
• Research-driven feature updates

Contacts:

• Website: aleph-alpha.com

Clearlead concentrates on helping companies put large language models and generative AI to work in everyday operations. They look at what a business actually needs, then build or adjust models so the outputs fit specific tasks without forcing big changes to existing setups. The team handles everything from quick fine-tuning to more involved customisation, often using techniques that need less data or compute.

They also set up retrieval systems that pull from company documents, create chatbots that stay on topic, or add sentiment tools that read customer feedback. Deployments get wired into current platforms so the AI feels like a normal part of the workflow rather than a separate add-on.

Key Highlights:

• Fine-tuning options from few-shot to full LoRA setups
• Heavy use of LangChain and similar frameworks
• Retrieval-augmented generation for accurate answers

Services:

• Chatbot and assistant development
• Model customisation and fine-tuning
• Semantic search and knowledge systems
• Generative content tools
• Sentiment analysis setups

Contacts:

• Website: www.clearlead.ai
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/clearlead-ai-consulting
• Twitter: x.com/clearleadai

Peak Ace noticed early that people now ask questions to chatbots instead of search boxes, and brands that don’t show up in those answers basically disappear. They track how often a company gets mentioned or cited across tools like ChatGPT, Perplexity, Gemini, and Google’s AI Overviews, then figure out why some content gets picked and others ignored.

Their process usually starts with building a library of prompts that match real user questions, monitoring which sources the models actually use, spotting gaps, and adjusting pages so they become the ones LLMs prefer to quote. The goal stays practical – make existing content more likely to appear when an AI summarises a topic.

Key Highlights:

• Brand and topic mentions across major LLMs
• Citation sources in AI-generated answers
• Visibility changes after content updates

Services:

• Prompt mapping and intent clustering
• LLM visibility monitoring and benchmarking
• Content optimisation for generative engines
• Structured data and schema improvements

Contacts:

• Website: peakace.agency
• E-mail: [email protected]
• Instagram: www.instagram.com/peak_ace_ag
• LinkedIn: www.linkedin.com/company/peak-ace-ag
• Twitter: x.com/peakaceag
• Facebook: www.facebook.com/peakaceag
• Address: Leuschnerdamm 13, 10999 Berlin
• Phone: +49 (0)30 – 832 117 790

MK Consulting works mostly with government bodies that want to use language models but have to keep everything inside secure Ukrainian data centres. They take open-source models, place them on local infrastructure, and connect them to existing state registries so sensitive data never leaves the country.

One of their projects added automated application checking to a youth exchange platform – the model reads submissions, spots common issues, and gives instant advice so applicants can fix problems before official review. The same setup can run on other public-sector systems when full control and compliance matter more than using public cloud APIs.

Key Highlights:

• Open-source LLMs running on certified Ukrainian infrastructure
• Full compliance with national data protection rules
• Retrieval-augmented setups tied to official registries

Services:

• Secure on-premise LLM deployment
• RAG systems for government documents
• Automated application and form checking
• Integration with state registries and platforms

Contacts:

• Website: consulting.mk
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/mk-consulting-mk
• Facebook: www.facebook.com/consulting.mk
• Phone: +38 (093) 170 82 75

Dev Centre House runs LLM projects the way software houses have delivered complex systems for years – start with proper assessment, pick or build the right model, integrate it cleanly, then keep it performing as needs change. They work with both open and closed models, handling everything from full custom training to lighter fine-tuning when a base like GPT or LLaMA already does most of the job.

Their team adds the usual operational layers – versioning, monitoring, drift detection – so the model doesn’t become a black box once it’s live. Deployments end up in customer service tools, search systems, or automation flows that sit alongside existing applications without forcing a complete rebuild.

Key Highlights:

• Full lifecycle from consulting to ongoing support
• Mix of custom builds and fine-tuning existing models
• Strong focus on integration and LLMops practices

Services:

• LLM strategy and roadmap work
• Custom model development
• Fine-tuning and performance tuning
• Integration into existing systems
• Maintenance and monitoring setups

Contacts:

• Website: www.devcentrehouse.eu
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/devcentrehouse
• Twitter: x.com/DevCentreHouse
• Facebook: www.facebook.com/devcentrehouse
• Address: Suite 5, Plaza 256, Blanchardstown Corporate Park 2, Dublin 15, D15 VE24, Ireland
• Phone: +353 1 531 4791

EffectiveSoft takes companies that already have text-heavy processes and shows them where language models actually remove work instead of creating new headaches. They adjust general-purpose models with company data or train new ones when off-the-shelf options stay too generic, then connect the result to real workflows.

Projects usually end up as smarter customer support, automated document handling, sentiment tracking, or content tools that fit into current software without big disruptions. The team handles the less visible parts – data cleaning, bias checks, integration points – so the final system stays reliable over time.

Key Highlights:

• Heavy emphasis on domain-specific adaptation
• Bias reduction and security built into the process
• Full maintenance after go-live

Setvices:

• LLM consulting and use-case mapping
• Model customization and fine-tuning
• Prompt engineering work
• Integration and app building
• Ongoing support and hallucination control

Contacts:

• Website: www.effectivesoft.com
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/effectivesoft
• Twitter: x.com/EffectiveSoft
• Facebook: www.facebook.com/EffectiveSoft
• Address: 126/134 Marszalkowska Street 00-008, Warsaw 
• Phone: 1-800-288-9659

Square Root Solutions works mostly with European companies that need language models but can’t accept the usual public-cloud trade-offs. They deliver systems that run on-premise or in controlled private setups, keeping data inside EU borders and under client control from day one.

The process follows tight sprints with client feedback built in, covering everything from initial planning and prototyping to fine-tuning, security layers, and long-term monitoring. Most deployments become internal assistants, document processors, or compliance tools that handle European languages and local regulations without shortcuts.

Key Highlights:

• EU-compliant deployments with full data ownership
• Agile delivery with client-in-the-loop testing
• Mix of open-source and proprietary base models

Services:

• LLM strategy sprints and PoC work
• Custom model building and fine-tuning
• On-premise or private cloud integration
• Ongoing support and drift monitoring

Contacts:

• Website: squareroot.ie
• E-mail: [email protected]
• LinkedIn: www.linkedin.com/company/square-root-solutions
• Twitter: x.com/squareroot_ie
• Facebook: www.facebook.com/squareroot.ie
• Address: Ballycullen Green, Oldcourt Rd, Ballycullen, Co. Dublin, D24 K57E, Ireland
• Phone: +353 87 414 7412

Techhub.eu noticed that many companies know AI could help but get stuck choosing where to start and how to stay compliant. They offer a modular approach – companies can pick just strategy workshops, add technical implementation, or include governance and security rules, depending on what they already have in place.

Work usually involves mapping real use cases, selecting suitable models like GPT or Llama, connecting them to internal data safely, and setting up monitoring so the system keeps working as business needs shift. Their approach stays on practical rollout instead of endless pilots.

Key Highlights:

• Use-case and roadmap development
• Model selection plus fine-tuning
• Integration and interface building
• Governance and compliance frameworks

Services:

• Strategy and potential analysis
• Technical deployment of chosen models
• Security and operations setup
• Team training on responsible use

Contacts:

• Website: techhub.eu
• E-mail: [email protected]
• Address: Oststr. 11-13 (Rhein-Carré) D-50996 Köln-Rodenkirchen
• Phone: +49 (0)221-935 521-83

Wrapping up, the European LLM scene feels refreshingly grounded compared to the hype machines elsewhere. Instead of endless promises about “revolutionizing everything tomorrow,” most of these outfits are quietly solving the problems companies actually have today – keeping data inside borders that matter, making models work with decades-old systems, and delivering stuff that doesn’t break the first time real users touch it.

What stands out is how pragmatic everyone stays. Nobody’s trying to sell you the one perfect model or the magical RAG setup that fixes life. They just figure out what you’re stuck on – compliance headaches, internal docs nobody can find, agents that need to stay auditable – and build something that fits without turning your stack upside down.

If you’re anywhere in Europe and need LLM work done without the circus, there’s now a solid bench of teams who get the local rules, speak the same regulatory language auditors do, and care more about something that’s still working in two years than something that looks amazing in a demo next week. Pick one that matches the way you actually work, have a proper chat about your real constraints, and you’ll probably end up with something useful instead of another shelfware experiment. That feels like progress.