LAUNCHub Ventures is a leading early-stage venture fund focused on scalable businesses originating from South-Eastern Europe and the broader CEE region.
The investment round was led by Nauta with participation from LAUNCHub, Lunar Ventures, and Techstart.
"This funding accelerates our vision: applying synthetic data and Visual AI to solve the $800 billion problem of inefficiencies in CPG supply chains. We’re growing our computer vision engineering team and deepening our commercial footprint across the UK, European and US markets. Our platform is already a new benchmark for retail image recognition – this investment enables us to scale that impact globally."
The financing round was led by LAUNCHub Ventures and Kadmos Capital to fund the company's shift towards the diagnostics market.
"We are thrilled to have the support of LAUNCHub Ventures and Kadmos Capital, who share our vision for a healthier future. This funding round marks a significant milestone for GlycanAge, and we are excited to continue our journey towards transforming healthcare and empowering individuals to take control of their well-being."
The seed round was led by LAUNCHub Ventures with participation from Lunar Ventures, Techstart, and 7% Ventures.
"We are amassing the largest 3D product repository in retail, aiming to reach over 100,000 products this year. The sky’s the limit: a streamlined process of adding any existing product to our database in minutes is in place,"
LAUNCHub and daFUND have backed the analytics software provider in its latest funding round.
"When not everyone is in the office it’s really challenging to understand if you are moving in the right direction both as an individual and as a team. Most software focuses on tactical information such as the status of tasks. The burning questions however are at a completely different level: Are we getting faster or better, and are we burning out in the process?"
The financing round was co-led by Speedinvest and firstminute capital to help double the startup engineering team.
"In one case, a machine learning engineer used Tenyks to identify the root causes of 80% of their algorithm’s failures. These findings helped them deliver higher quality results to their customers because of the significantly improved system performance. Moreover, future new deployments can be onboarded in half the time because the engineers can now focus their efforts on alleviating the key bottlenecks,"
