06 Feb 2020

Artificial intelligence scale-up Corti wins Future Unicorn Award

Corti is a young company from Denmark that uses voice recognition and artificial intelligence and to help medical professionals make life-saving decisions in split seconds. By analysing millions of patient interviews they identify patterns in conversations and use them to predict potentially fatal incidents like cardiac arrest.

The Future Unicorn Award is a collaboration between 40 of the continent’s largest tech trade associations to showcase some of Europe’s most promising start-ups. It was presented by Commissioner Mariya Gabriel at Masters of Digital, DIGITALEUROPE’s flagship annual conference in Brussels.

“Today, only 6% of the world’s unicorns are from the EU – this is not enough! By showcasing some of the brilliant start-ups from across Europe here in Brussels, we hope to highlight to EU leaders what these companies need to take their business to the next level. All three finalists today have the potential to become Europe’s future unicorns, but the jury believes that Corti from Denmark will be first!” explained Cecilia Bonefeld-Dahl, Director General of DIGITALEUROPE.

We’re honoured to receive this award and to be recognised at the European level. There is an extensive amount of innovation happening in Europe’s healthcare sector and Corti is being recognized for its potential of becoming a true game-changer. We’re driven forward knowing that our technology has the ability to save lives every day and hope that Europe’s leaders continue to advocate for the importance of innovation in healthcare.”, said Andreas Cleve, CEO of Corti.

Out of the 14 shortlisted European companies, two others were present in Brussels as finalists: Nova Leah from Ireland and doks. innovation from Germany.

In DIGITALEUROPE’s Call to Action for A STRONGER DIGITAL EUROPE, we set the target that by 2025 Europe should be home to 25% of the world’s unicorns. A unicorn is a privately held company less than ten years old that is valued at over $1 billion.

In the digital economy, a companies’ value largely comes from the data it gathers and its ability to take advantage of network effects. Because of this, unicorns are a meaningful indicator of which companies can rapidly scale and potentially become market leaders in Europe and globally.

Other finalists

  • Nova Leah from Ireland

    Nova Leah is at the forefront of the global connected medical device security market. It has developed an expert cybersecurity risk assessment platform for manufacturers that allows them to effortlessly comply with regulatory requirements and mitigate threats in a fraction of the time and cost.

  • doks.innovation from Germany

    Doks. innovation is committed to digitising logistics processes and automating inventory management. Through a suite of sensors, data analytics, machine learning and robotics, doks. innovation brings warehouses and stocktaking processes into the digital age. 

Watch the video showcasing the three finalists

Background

DIGITALEUROPE – the leading European technology trade association representing 71 multinational companies and 40 national trade associations – has organised the Future Unicorn Award for three years in a row.

The award is compiled by asking all the national trade associations affiliated with DIGITALEUROPE to select one SME from their country that shows great potential. This results in a truly pan-European selection of fourteen outstanding digital companies from all sectors, including farming technologies (eAgronom), EdTech (Openclassroom), eHealth (Corti or Nova Leah), energy (Reengen), and many more.

 

List of all nominated companies

 

Future Unicorn Award

Read more details about the award

Our resources on Future Unicorn Award 2024
16 Dec 2024 The Download
The Download: Targeted adjustments for a future-ready EU product framework
13 Dec 2024 Policy Paper
Strengthening healthcare cybersecurity: Focus on implementation, not new legislation
11 Dec 2024 Policy Paper
Shaping DPP service providers: Building a secure and flexible framework
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