SkAD Labs Close 400k CHF Seed Investment Round
SkAD Labs Sàrl, the next generation virtual product design software company, has closed a seed investment round over four hundred thousand Swiss Francs (400k CHF). This investment will fuel the development of SkeletonCAx Release 1, expected to be launched in second quarter 2018, and the increase in development head-count over the next months.
“We are very grateful for the trust our investors are putting into us”, says Dr Bernhard Petermeier, Co-Founder of SkAD Labs Sàrl. “We are fortunate to have a great investors team providing the necessary financial resources and supporting us with their invaluable advice as well as with their strong business network. Bringing investors with the right expertise and mindset on board was the top-priority for us during this funding round.”
The lead Angel Investor in this round is Dr Kern Sibbald, founding member and former executive manager of Autodesk Inc (NASDAQ: ADSK). Dr Sibbald will not only contribute as an investor, but intrigued by SkeletonCAx’s pioneering technology, will actively join their development team.
The funding will be used to continue strengthening the development efforts of SkeletonCAx, and to expand commercial operations in key vertical markets. After the recent release of a beta-version, SkeletonCAx will be available for pilot projects with selected innovation partners.
About SkAD Labs Sàrl
SkAD Labs Sàrl was incorporated in July 2016 as a spin-out from the Swiss Federal Institute of Technology (EPFL) with the objective to develop and commercially deploy a breakthrough Computer-Aided Design and Simulation software based on Medial Axis Representation™ (MAR™) technology developed within the former LICP Laboratory of EPFL. SkAD Labs is headquartered in Geneva, Switzerland, with offices in Timișoara, Romania.
SkeletonCAx is a novel a virtual product development software promising to deliver a 50% speed up in the development process of engineering products. SkeletonCAx is an advanced, intelligent system, capable to autonomously create designs, simulate physical behavior and achieve a specific optimization goal. As a consequence, engineering product design will become as easy as running software code: With a press of one button.