Top Machine Learning Startups in Europe

Phrasee uses artificial intelligence to write better email subject lines, body copy and calls-to-action than humans. Since launch in Feb 2015, Phrasee-generated language beats humans >95% of the time. Awesome.

Map and manage global flows (cargo, data, money, etc.) using machine learning -- while preserving data privacy, data sovereignty, and data security.

nate is a venture-backed, intelligent automation, social shopping and payments startup, with offices in New York and London. nate just closed its series A round, raising 38MM from Renegade, Forerunner Ventures, Coatue and Canaan, among others. nate was created based on the principle of “humans inspire, machines execute”. It guides our team to create a product and company that is truly consumer and privacy first, and that will play a part in online shopping solutions from moment of inspiration to purchase.

Intuition Machines builds enterprise security products using AI/ML. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: high agency, small teams, and rapid iteration. Join us as we transform security and machine learning online.

Lineaum's (lineaum.com) AI infrastructure layer automates private aviation from request to takeoff. Lineaum OS connects clients, brokers and operators through one transaction layer, automating aircraft sourcing, quoting, contracts, payments and booking across a global network of 30,000+ aircraft and 10,500 operators. • 30,000+ Aircraft • 10,500 Operators • 190 Countries • 12,000 Airports "LIN", Lineaum’s AI jet concierge assistant, turns hours of manual private jet booking into one command: “LIN, book me a jet to New York tomorrow at 8am.” LIN then handles everything from aircraft sourcing, price comparison to digital contracts, card payments, and booking in minutes.

We're trying to help create the ultimate dining experience. We're starting by incentivizing you to try the best tasting food at a restaurant. Try a top dish and earn a 30% credit to come back to the restaurant. First visit? Earn an additional 30% for a total of 60% if you order a top dish on your first visit. On future visits order new top dishes to earn an additional 30% credit to come back again! We also help you find the best food that meets your dietary restrictions. We're also a Pandora of Food, which can recommend food based on the flavor profile you like and how that food tastes (sweet/meaty/salty/spicy/bitter). We also keep track of portion size, how nice the presentation is for food, and many other features no other website has!

We are building the next enterprise search engine fueled by NLP and open-source. Building on top of latest NLP research we leverage question answering & transfer learning to provide granular, semantic search results tailored to your domain. Haystack on GitHub: github.com/deepset-ai/haystack Haystack Website: haystack.deepset.ai

AE is made-in-LA, fully bootstrapped (no VC, PE, or other pesky acronyms), and specializing in developing agency-increasing products. Our software engineers and data scientists are expertly cultivated to build and maintain extraordinary products for clients. Here’s where it gets interesting… The proceeds from this client work is channeled into a fascinating array of internal skunkworks projects, some of which themselves are sold, featuring AE-built founders. That’s right, we consult AND incubate. But wait, there’s more! The proceeds of THOSE efforts are channeled in part into the development of the first brain-computer-interface operating system (BCI OS). Our mission is to ensure that when human communication is wholly digitized, the technology increases, rather than inhibits human agency. Our worldwide team of clever, witty, original-thinking super-nerds are passionate about everything from mobile apps, complex data science problems, computer vision, VR, blockchain, and almost anything else challenging and world-altering. Come find us at ae.studio

At ParallelDots, we’re not just building technology – we’re revolutionizing the way the world’s largest FMCG companies and retailers operate. Powered by cutting-edge AI-driven image recognition, our flagship product ShelfWatch automates retail shelf monitoring to deliver real-time insights, helping brands optimize their in-store execution and boost sales. Trusted by Fortune 500 FMCG giants, our solutions span 40 countries, covering over 1 million stores and analyzing 10+ million images every month. With headquarters in the USA and a strong presence in India, the UK, Europe, and Mexico, we are a fast-growing global organization making a real impact.

We're a team of machine learning and product engineers training task-specific generative models for psychology. Our mission is to use AI to make mental healthcare more accessible and to help people change their lives in the ways they want. We partner with organizations around the globe and power use cases, including AI-assisted crisis text response and AI counseling, while securing best-in-class datasets to power our models. Success to us means every human being in need of support having somewhere to go. We're a well-funded, seed-stage startup backed by top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and others. We're building a powerful team by empowering our engineers with the autonomy, flexibility, and resources to do their best work. We dream big and iterate fast. If that sounds like home, we'd love to hear from you. The Team Daniel started coding at age 8 and started training models in high school. At 16, he dropped out of high school and moved to London to pursue his study and research. He graduated university top of his class at 19 and was awarded ‘distinguished’ by Imperial for his post-grad research in AI for mental health. As an ML Engineer, he led Instabase’s pivot into GenAI. He raised $6M pre-team at age 22 to develop the tools for training task-specific generative models that now power our machine learning research. Neil dropped out of medical school to co-found Casper, the sleep company, which he helped grow to $500M+ in revenue and IPO’d in 2020. Improving wellbeing through sleep led him to mental health, where he joined the board of [PsychHub](psychhub.com). He’s invested in 200+ companies like Ro, Affirm, Relativity, Archer, Figure, and Together.AI. Our team has expertise in model training, product engineering, and psychology. Our engineers includes team leaders who have joined us as individual contributors, two former CTOs, and collective experience from across Big Tech.