Lightly

23/07/2021

Our co-founder Igor Susmelj gave a great interview to our partner Sama AI about AI and data selection.

Listen 🎧 to the podcast to learn more!

28/02/2021

A remarkable conversation between our Co-founder Matthias Heller and Damiano Vallone from Ventureslog.

February 26, 2021 / Leave comment Exchange w/ Matthias Heller: Co-Founder Last week I had the pleasure to talk to a founder whose idea I myself am very enthusiastic about. Matthias Heller is co-founder of the data-curation start-up Lightly from Zurich which provides its solution primarily t...

28/02/2021

Learn more about sustainable AI and how companies can achieve a superior data pipeline in this post!

Why the growth of unstructured data is not sustainable within the current data pipeline

10/06/2020

Yount want to learn more about how you can improve your machine learning data with WhatToLabel?

Read our new blogpost about why we started WhatToLabel.com

https://www.whattolabel.com/post/introducing-what-to-label

In this post, you will get to know more about our journey as an emerging company in this new field and our learnings on why and how we can improve deep learning models by focusing on dataset optimization. However, since enough blogs and tutorials are already covering all aspects in the fields of arc...

10/06/2020

Great interview by Swisspreneur with our co-founder Igor Susmelj

About Igor and What To Label Igor Susmelj is the co-founder of WhatToLabel, a Data Preparation Platform for Machine Learning. Together with his co-founder, Matthias Heller, they bring together the best of the tech and business world. WhatToLabel is both a HSG and an ETH spinoff. Currently, they are

10/06/2020

We are very excited that we were covered by startupticker.ch. You can read the full article on their website in case you want to learn more about whattolabel.com

https://www.startupticker.ch/en/news/june-2020/startup-pitch-the-data-cleaners

Data preparation for machine learning applications is complex and laborious. WhatToLabel has developed a solution to automate the preparation process. For the first PoC the team was able to win a Fortune 500 company and even during the Corona crisis new projects were added.