Artificial Intelligence is actively reshaping businesses and driving serious results. Forget abstract theories; this article looks at 25 companies that are using AI as a way to move Europe into a position of advantage in the business world, with the rapid use of technology for the development of many areas.
By AI to tackle concrete business challenges head-on: predicting machine failures before they happen, truly personalized learning tools that adapt to individuals, and smarter ways to combat sophisticated fraud or manage volatile energy grids, Europe’s startup landscape is competing with the world.
1. Fracttal
Using AI to turn data into actionable foresight for Europe’s industrial heartland, with a clientele that reports cutting their maintenance planning time by 45, boosting productivity by 50% and average 181% of ROI, that’s the way Christian Struve, CEO and Co-founder has match AI technology with their IoT sensors to reduce the high cost and unpredictability of equipment maintenance for their clients.
Based in Madrid, Spain, Fracttal has a large operation in over 50 countries, they use their algorithm powered with years of experience in the industry to predict potential failures and automate preventative work order. Demonstrating AI’s tangible value in transforming a traditional cost center into a truly data-driven environment.
2. Wooclap
A passive lecture can quickly transform an otherwise transformative educational experience into a numbed space. Wooclap, come in to take care of this, as a platform that seeks to change the dynamic of lectures, speaking events, and learning environments using many technologies and AI.
Their AI takes interactions and automatically generates relevant questions for all parties involved: polls, quizzes, and word clouds, taken from existing presentation materials. Wooclap bridges the gap between speakers and listeners, building on live interaction.
From Belgium, and reaching over 50 million users across educational and corporate sectors, the idea is simple enough, yet powerful: transform those static PowerPoints into a dynamic engagement tool.
3. Kryterion Inc.
Using Machine Learning and its embedded AI, Webassessor™, Kryterion secures the integrity and veracity of high-stake certifications.
With UK operations and the use of their secure platform, the company provides an AI-boosted pathway to assurance, flexibility and accessibility for those interested in launch certifications in their industry that are not only correctly credited but that can satisfy any criteria of transparency, such is the case of the France-based Probabl, that launched a standardized machine learning certification with the partnership of Kryterion.
Currently led by President Rob Armstrong, they use a network of over 1000 test centers to amplify and rapidly evolve their services, generating faster and more accurate tests, cutting the cost of development, testing, and training.
4. DeepL
The Cologne-based translation giant has only grown with the support of AI. Their CEO, Jaroslaw Kutylowski, always understands that there’s more to the industry than just pure translation of a text: The nuance and richness of linguistics may be lost in a typical translation software. But DeepL has made swift use of AI and neural networks, training them for complex language tasks and understanding. They have specialized in offering a service that reportedly requires fewer edits and is more precise than their competitors. Now offering AI-powered writing assistance and real-time voice translating, DeepL is cementing its position as the premier choice for high-fidelity translation solutions.
5. Transmetrics
Based in Sofia, Bulgaria, Transmetrics has been functioning since 2013, and AI has catapulted their offer: powering their SaaS platform, Transmetrics is already helping major logistics companies like DHl and Kuehne+Nagel, and has recently launched FleetMetrics, a new AI-driven solution for trucking companies that integrates data from telematics, TMS, and transactions to improve fleet management. It automates processes, enhances visibility, monitors performance and profitability, and optimizes planning, helping companies boost efficiency and revenue. Asparuh Koev, his CEO, already had years of consulting experience in the Logistics and Supply Chain industry; now, that experience is being utilized along with their Machine Learning Model for accurate demand and asset availability forecasts.
6. Fourthline
Known Your Customer (KYC) and Anti-money Laundering (AML) regulations can sacrifice user experience and growth for fintech and digital banking altogether. Enter Fourthline provides an AI-powered platform that leverages computer vision to analyze ID documents and sophisticated algorithms to detect fraud patterns. By creating a solid system that helps digital finance-related businesses, they have seen improvement up to 50% in fraud detection, while guaranteeing faster onboardings for the services that use their technology. Their CEO and Co-founder, Krik Gunning, has focused their company on enabling fast and easy compliance for European businesses while avoiding hindering user experience and clients’ growth.
7. Fuergy
At Fuergy, AI is becoming the way to orchestrate energy consumption and management. The Bratislava-based company led by CEO Radoslav Štompf uses their “brAIn” software, connected via IoT hardware to batteries, solar panels, and other assets to predict usage patterns, market price, grid conditions, and even factors in what the weather. The result is lower electricity bills, a balanced gri,d and a carbon footprint reduction. For FUERGY, AI has become the way to replace passive consumption of energy and bring forward energy efficiency.
8. Inncivio
How many users pass the KYC systems of Fintechs to stall? This common headache for the fintech platform is the one Inncivio, the London-based Startup, is solving. With the use of AI, they have created an “Intelligent layer” within the fintech apps designed to understand user behaviour and context in real-time. With this information, the AI delivers a personalized micro-learning experience, guidance, and tips the user might need according to its context, but it isn’t just generating this information; it is creating it precisely when needed. The startup co-founded by Anna Raafat transforms complex topics into clarity that boosts engagement and retention for Fintech apps.
9. Orbisk
Foodtech startup, Orbisk, helps restaurants, hotels, caterers, and hospitals deal with a massive problem: Food Waste. Led by CEO Olaf van der Veen, they are transforming the humble waste bin into a source of sharp business intelligence through “Orb”: part smart scale, part AI-powered eye. The technology of the Netherlands-based Startup identifies key differences in waste.
It delivers a granular diagnostic in real time: judging a difference between a potato peel and a pricey salmon trim, the new eye in the kitchen takes the data and points out hidden patterns: over-order ingredients, the consistently wasted side dish. Europe’s kitchens that use Orbisk have slashed their food waste by 50%-70%, which in most cases translates to an average annual savings of € 55,000.
10. Speakspots
What if you were at the distance of a WhatsApp message from your next vacation? Speakspots’s AI works through the interface of WhatsApp to hyper-personalize a travel plan, with booking links included. Founded in 2019, the company wants you to simply send a message with the destination, interest, and budget, and then the AI takes into consideration your request and all the data from its partners like Booking.com and Skyscanner to offer a travel planning experience powered by AI and tailored-made for you.
With their UK launch late 2024, Speakspots’s Andrés Martínez Artal aims to harness AI power for calculation to deliver a quicker, personal, and meaningful experience in the tourism industry.
11. GekkoVet
Finnish startup GekkoVet, founded in 2018 by CEO Johanna Majamaa, offers veterinarians an AI “co-pilot” for practitioners to input patient symptoms and history. The system’s AI rapidly cross-references these against a vast, curated knowledge base, which is around 80,000 pages and offers diagnostic probabilities in moments.
The startup goal is far from replacing veterinarians or clinical experts, but to present a tool that accelerates informed decision-making processes, helps clinicians reduce any errors by saving diagnostic time, and reduces the cognitive load. GekkoVet is transforming AI into a tool that highly modernizes veterinary practice.
12. Stravito
You can lose millions on market research that just gathers digital dust, is lost in folders, and is inaccessible to those who need it. Stockholm’s Stravito, founded in 2017 by CEO Thor Olof Philogène, offers an AI-powered platform that acts as a central “collective brain,” solving that chaos and automatically ingesting, understanding, and tagging everything, from dense reports and survey data to meeting transcripts, making dispersed insights discoverable.
Effectively an AI research analyst on call 24/7, instead of manual digging, users pose natural language questions, and the Assistant synthesizes concise, accurate answers with source links, even summarizing reports or interpreting charts and allowing teams at insight-reliant giants like Nestle, Unilever, Danone, and Delta Airlines to instantly leverage their full collective intelligence for faster, smarter decisions.
13. DataNorth
Netherlands-based DataNorth’s mission is to demystify AI, translating complex technology into tangible business outcomes tailored to each client’s case. founded in 2022 by CEO Menno Fokkema.
Rather than pushing a single product, they act as an AI enablement partner. They guide businesses through the entire AI journey with strategic consultancy, bespoke solution development using ML, NLP, and Generative AI, and team upskilling.
By providing 360 support, DataNorth works as a solution to diverse sectors looking to successfully use AI, solve specific operational problems, and foster sustainable innovation.
14. QuickBlox
Founded in 2009 and run by CEO Nate MacLeitch, QuickBlox is a Communications Platform as a Service (CPaaS) for developers. It helps developers free up time and resources by allowing them to build in-house communication infrastructures for real-time communication, such as chat and video, and the most recent and essential product on the market today: an AI assistant for tasks like live translation, transcription, and summarization.
The idea behind QuickBlock is simple: reducing the time spent by development teams, increasing the efficiency of documentation and communication, fostering global team collaboration, and speeding up project management.
15. RoboSAPIENS
Launched just over a year ago, RoboSAPIENS is an ambitious project backed by the EU’s Horizon Europe 2021-2027 fund. A consortium of universities, research institutes, and corporations, RoboSAPIENS aims to make self-adapting industrial robots (e.g., like those used on machine shop floors) safer and trustworthy to work with humans.
For three years, using Deep Learning (DL) and Digital Twin (DT) technologies, the project will elaborate on the current autonomic computing framework for these robots to incorporate the safeguards into the current Monitor-Analyze-Plan-Execute-Knowledge (MAPE-K) framework — essentially embedding new safety controls into current operating frameworks.
Consortium members include Aarhus University (Denmark); Aristotle University of Thessaloniki, AUTH (Greece); Danish Technological Institute, DTI (Denmark); Fraunhofer IFF, Fraunhofer (Germany); University of York, UoY (United Kingdom); University of Antwerp, UA (Belgium); Norwegian University of Science and Technology, NTNU (Norway); PAL Robotics, PAL (Spain); ISDI Accelerator, ISDI (Spain); Simula Research Lab, SRL (Norway).
16. Mistral AI
Arthur Mensch, along with a team of AI researchers from Google DeepMind and Meta, founded Mistral AI in Paris. Backed by major investors like Microsoft and a16z, the startup rapidly solidified to a multi-billion euro valuation—their strategy centers on building high-performance foundation models while allowing openness.
With key partnerships, especially with Microsoft Azure, they’ve made powerful models easily accessible. This is why they have positioned themselves as a significant European player shaping the future of generative AI.
17. TechnoXander
European financial institutions demand strong security, without impeding payment flows due to fraud and complicated laws. TechnoXander helps banks and fintechs meet strict European KYC/AML compliance requirements and drastically minimize Authorized Push Payment (APP) fraud losses. How? Co-led by CEO Sonal Bomb and established in 2009, they offer vital infrastructure by utilizing artificial intelligence through its RegTech platform, powered by APIs. Using Confirmation of Payee (CoP) and Verification of Payee (VoP) APIs, its central AI-powered system immediately compares recipient names to bank account records, identifying discrepancies to stop fraud before money is paid.
18. AI-BOB
Conceived from CEO Elin Mårtensson experience as a property developer AI-BOB, is a ConTech startup founded in 2024 by her in Stockholm. She designed the AI-BOB that acts as an AI “Copilot for Construction,” integrating directly into design software to automatically check digital models against regulations in real-time for the European market. This solution looks to cross-reference designs against specific construction requirements, like accessibility or fire safety codes.
This approach transforms compliance from a problem or bottleneck in construction to an integrated part of the creative development process. With the aid of AI-BOB, construction developers can identify potential issues early and promise to drastically reduce rework costs, accelerate project timelines, and mitigate non-compliance risks for architects, engineers, and construction developers.
19. Batonics AB
Founded in 2019 by CEO Ahmed AlNomany, Sweden’s Batonics AB is using AI, specifically Natural Language Processing (NLP), to ingest diverse data formats (like Excel, CSV) and allows analysts to perform complex tasks by asking questions in plain language to the file they are working with.
Their technology allows for things like scenario modeling, due diligence, and risk assessment; analysts may use simple language queries instead of complex code to analyze this data. By reducing analyst hours of data preparation, this approach promises to expedite and enhance the quality of investment decisions, allowing their clients to focus on higher-value interpretation.
20. AI-vidence
Businesses in highly regulated industries in Europe, such as banking and healthcare, may not embrace AI due to a trust issue. In order to bring needed clarity to this problem, David Cortes launched AI-vidence in 2021. To satisfy auditors, reassure clients, and comply with changing laws, the Paris-based company’s primary focus is Explainable AI (XAI), by testing and searching for possible biases, and determining if the model is reliable enough for practical application. Ensuring that regulations and customer needs are both met.
21. Dust
Dust helps companies worldwide to work more efficiently by leveraging their own unique data and turning it into a valuable asset. Based in Paris, it was started in 2023 by Gabriel Hubert and Stanislas Polu. Their platform lets businesses create and use custom AI agents by safely connecting these agents to the business’s own data. It uses a method called Retrieval-Augmented Generation (RAG) to make sure that the AI replies based on actual company facts, not just general information it has learned.
This helps teams in areas such as customer support, sales, and tech to automate tasks and gain value from their internal data in a reliable and secure way.
22. Kestra
Kestra, founded in 2021 by CEO Emmanuel Darras, is an API-first platform, completely designed to reduce the difficulties and complexity of tech stacks, intricate webs of pipelines, microservices, and applications. They focus on a special approach, where engineers can describe complicated tasks just by writing code using YAML configuration. This process makes the tasks easier to understand, allows for better control of code versions, and improves teamwork among engineers. The company ensures everything runs smoothly, even when working with very different systems. It helps engineers who work with data, software, and platforms around the world to improve how they manage projects, connect separate parts of their systems, and simplify operations.
23. Doctomatic
Doctomatic is a Barcelona-based healthtech startup that is disrupting chronic disease care with AI-powered Remote Patient Monitoring (RPM). Founded in 2021 and co-led by CEO Carmen Pauline Rios Benton, their platform streamlines patients’ data into cloud-based AI algorithms, offering real-time insights, which then identify risks and evaluate trends.
The company gives European healthcare providers a scalable and compliant solution that facilitates preventative care, keeping people healthy for longer, while reducing the strain on healthcare systems through early intervention and ongoing monitoring.
24. Narrativa
With Spanish origins and founded in 2015 by CEO David Llorente, Narrativa is a Generative AI platform engineered specifically for automated content creation driven by data. Their platform ingests complex datasets, employing sophisticated Natural Language Generation (NLG) that moves beyond basic templating to automatically produce narratives that are contextually relevant and stylistically human-like.
The claimed efficiency advantages are significant, possibly shortening complex reporting cycles by weeks or months. Narrativa offers the scalable production of consistent, data-driven content crucial to a range of goals, such as meeting rigid regulatory filing requirements, especially for health sciences and finance, to powering large-scale targeted advertising campaigns.
25. Amphitrite
Co-founded by CEO Alexandre Stegne, who emerged from France’s elite École Polytechnique in 2021, Amphitrite is utilizing an approach that brings together satellite data from NASA, ESA’s Sentinel missions, and others with powerful AI models involving their proprietary ORCAst, by employing high-performance computation to generate complete, near-real-time predictions of currents, waves, and wind at unbelievable resolution.
For the shipping, environmental monitoring, and defense sectors, this translates directly into opportunities for significant route optimization, saving fuel and time, and enhanced operational safety, providing a clearer digital twin of the ocean surface.