Chrysalix partners with Dutch RoboValley on €100 million robotics fund

Terry Dawes for Cantech Letter:  Vancouver-based Chrysalix Venture Capital has announced a €100 million fund aimed at driving the global robotics revolution, in partnership withRoboValley, a centre for robotics commercialization based at the Delft University of Technology in the Netherlands.

The RoboValley Fund is Chrysalix’s first robotics fund, and will concentrate on disbursing seed and Series A rounds of funding to early-stage companies developing component technology, intelligent software, and other breakthrough robotics technologies.

“Robotics is predicted to be the next big step in the digital revolution having an unprecedented impact on the way that we live, and provides an answer to some of the grand challenges of the 21st Century,” said RoboValley managing director Arie van den Ende. “Together with Chrysalix long-standing expertise in commercializing early stage industrial innovations, the RoboValley Fund will bring much needed capital and accelerated paths to market for our most promising next generation robotics technologies.”  Cont'd...

Comments (0)

This post does not have any comments. Be the first to leave a comment below.


Post A Comment

You must be logged in before you can post a comment. Login now.

Featured Product

Pleora Technologies – Simplified AI for Visual Inspection of Electronics

Pleora Technologies - Simplified AI for Visual Inspection of Electronics

Pleora's Visual Inspection System helps operators detect errors and defects for unique component types, assembly steps, and custom low-run products where automated optical inspection (AOI) is too complex and expensive. The system helps DICA Electronics: Avoid costly, errors as a result of detecting errors at different phases in production, Speed time in detecting the root cause of the in-field errors with Tracking & Reporting apps for traceability, Maintain consistency in training new employees on requirements or with staff any time a new product is added, Easily train the system using 'good product' images for multiple product lines with no programming skills required, Reduce subjective decision-making, especially over a long shift, reducing error-escapes.