Top Tech Startups in Europe in 2024

The Highspot sales enablement platform connects sales teams to the most relevant content for each situation, provides flexible ways to present content to customers, and delivers real-time visibility into whether customers find the content engaging. Advanced analytics provides actionable insights so pitches and content can be optimized.

Nossa Data helps companies simplify their ESG reporting, data management and analytics. Our mission is to provide companies with technology that revolutionises how they manage and report on their environmental, social and governance metrics, in order to show the world how companies interact with people and the planet.

Zilliz is a leading vector database company for production-ready AI. Built by the engineers who created Milvus, the world's most popular open-source vector database, Zilliz is on a mission to unleash data insights with AI. The company builds next-generation database technologies to help organizations rapidly create AI/ML applications, and unlock the potential of unstructured data. By taking the burden of complex data infrastructure management off of its users, Zilliz is committed to bringing the power of AI to every corporation, every organization, and every individual. Headquartered in San Francisco, Zilliz is backed by a number of prestigious investors, including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners and others. Zilliz's technologies and products help over 1000 organizations worldwide easily create AI applications in various scenarios, including computer vision, image retrieval, video analysis, NLP, recommendation engines, targeted ads, customized search, smart chatbots, fraud detection, network security, new drug discovery, and much more. Learn more at zilliz.com or follow @zilliz_universe.

0x is a protocol for decentralized exchange. We envision a tokenized world where value can flow freely. The Ethereum blockchain has become host to a variety of digitized assets, with more being created every day. In the future, everything of value will become tokenized and moved onto blockchains. 0x aims to be the rails upon which the exchange of these assets will take place.

EduMe is used by modern companies across 6 continents to train, inform and engage their workforce. By having effective learning and relevant information in the palm of their hands, the workforce at companies like Uber, Airbnb, Deliveroo, Deloitte and Vodafone are empowered to perform at their best. EduMe is a hyper-growth company based in London, UK.

EdgeTier have developed Arthur, an agent-assistant system that dramatically improves the performance of customer service teams. Arthur sits beside customer service agents, reading incoming customer service queries in order to provide real time and completely customised suggestions of responses. Arthur extracts information needed by agents depending on the query topics, and automates all wrap up processes post query completion. Arthur works for both email and chat-based customer queries, and results in up to an 80% reduction in average handling time (AHT) for some queries, with an expected 45% drop in AHT across the board in contact centres. Arthur’s suggested responses always follow best practice, do not contain spelling mistakes, and are always branded correctly and use the language spoken by the customer. Arthur results in happier customers due to faster and more accurate responses, and happier agents due to the reduction in laborious and repetitive tasks.

Breakroom helps hourly workers compare their job and find the best place to work for them. Our mission is to help 100 million workers get a good job that’s right for them. By collecting, anonymising and publishing information about the quality of work we will raise the standard of all jobs.

Amplemarket is the next generation sales platform that helps B2B sales teams find and engage with new customers. It combines lead generation with advanced multi channel sequences leveraged by AI.

We have devised a unique methodology for automating the tasks related to preparing quality training data, in effect turning the training data problem into a data science problem.