Data Science Start-up Night
3 March 2021
3 March 2021
On March 3rd, the first Data Science Start-Up Night took place! During this event, seven start-ups pitches their ideas to 75 ‘investors’. Each student was provided with a sum of fictional money with which they could ‘invest’ in any start-up they’d like. The start-up that managed to raise the most money at the end of the night was announced the winner!
We are very happy to congratulate Peppermint with winning the Start-up Night! We will see them again as speaker at the DEX Talkshow in October!
Opening by our host
Pitches by Lalaland, Impact Up, Geronimo.AI
Keynote by Thomas Vles, Managing Director at the Dutch Startup Association
Pitches by Datenna, Peppermint, Deskify, Globe Protocol
Invest your 'money' in your favorite start-ups through our virtual investment platform
Early 2020 Thomas became managing director of the Dutch Startup Association, where he actively contributes to the startup and scaleup ecosystem by creating a sharing community between companies, improving the investment climate and promoting pro-entrepreneurial legislation to political stakeholders.
Thomas enjoys creating new ventures as well as advising and investing in startups. His unique and personal approach creates lasting relationships with both teams and stakeholders, and as a founder and entrepreneur, he is able to transfer his drive, energy, and enthusiasm to those within his sphere.
Datenna is a SaaS platform offering its customers easy access to accurate company ownership and industry intelligence on China. By tracking millions of companies and billions of euro of research funding we deliver key insights for decision makers around the world. We build systems for collecting, integrating, and augmenting data on top of which we layer our platform for fully interactive human-driven, machine-assisted analysis.
Geronimo.AI is Delft-based start-up which aims to apply AI on geographic data. A major part of our work consists of applying computer vision techniques on aerial images or satellite data (i.e. remote sensing). We work on three different products, ranging from detecting crops and buildings to predicting road quality. Are you curious and do you want to learn what it is like to do an internship at our company? Join our pitch!
Soon, Globe Protocol will be the standard for data exchange between consumers and companies. Our consent management network enables consumers the opportunity to control their own data and provides privacy-by-design! It can become a great source of personal data for all new kinds of business ideas and opportunities.
We pave the way to a future where all companies can have sustainable data-driven business models that perfectly fit consumers' privacy desires. Join us, and let's start the new wave!
Impact up aims to revolutionize grocery shopping with artificial intelligence by making it ridiculously easy and personalized. We are developing an AI algorithm that will build your super personalized healthy and sustainable grocery list, with an option of ordering online. We use deep learning, AI, Product Life Cycle Analysis, and nutrition models to increase the health and climate impact of your weekly groceries- best of the both worlds! Our mission is to empower consumers by providing data around the food ecosystem, helping them save not only time and money but also climate change.
Lalaland uses deep learning techniques to generate artificial full-body fashion models for e-commerce brands enabling them to show their collections on models that actually look like customers. By using Lalaland brands can instantly upload their collections, select models from a diverse population of generated individuals and show their collections in multiple sizes, skin tones, and ages and from several angles. In turn, brands that utilize Lalaland see a 15% increase of revenue and at least 10% reduction in returns rates.
Our platform enables you to enjoy more freedom whilst doing your favourite leisure activities (e.g. museums, theme parks and wellness). You simply download our app, check-in at the location, check-out whenever you want, and only pay for the time you actually spend there.
Using pay-per-minute with Peppermint, you are flexible in today's turbulent world; you can be spontaneous by trying new activities at a low threshold; and of course you save a lot of money as you will never pay more than the regular ticket price!
The future of the office is visible. We are going to work more from home and the office is more and more becoming a place to meet and a place where knowledge is shared amongst colleagues. As a result, organizations will have to deal with an increase in unoccupied workplaces, which is a waste of valuable resources. Organizations will therefore seek to treat their workspaces in a more flexible and
efficient way. In our future, organizations use their workplaces when they need to, but let their workplaces when they are unoccupied. Deskify facilitates in this future, by being the Airbnb for workplaces.
Data Science Days – Copyright © 2020 – 2021