FOR IMMEDIATE RELEASE:
LANCASTER, California / SAN JOSE, California, May 10th, 2017 - RedWorks Construction Technologies Inc. is proud to announce that RedWorks will partner with 4th Law, LLC to bring 4th Law’s groundbreaking cloud control systems and Redworks’ additive construction technologies to market over the coming years.
A combined RedWorks/4th Law solution will allow deployment of machines that use common soil to “print” low-cost building materials in austere regions while maintaining remote control and updates via 4th Law’s CaaS (Control as a Service) cloud-based systems.
With the help of 4th Law, RedWorks plans on bringing its initial product to market, an In-Situ Additive Construction (ISAC) On-Site Material 3D Printer. The ISAC Printer is used to convert locally sourced materials into a finished design on-site, using designs from a marketplace of materials created by architects and engineers.
The benefits of the unique partnership arrangement with 4th Law are invaluable with regard to product feature innovations and developing next generation improvements to systems. 4th Law will provide engineering services and assist in the design and implementation of a vehicle platform for the RedWorks system, as well as a control system to allow for remote operation and fleet monitoring.
RedWorks' technology, originally developed to address long term habitation challenges in the NASA 3D Printed Habitat Challenge, will be directed at addressing the world’s commercial and residential construction needs.
RedWorks is committed to giving builders new tools for creating custom building materials completely on-site from technology originally developed for use in space. To that end we see a need for control systems that can provide across the board in-process optimization of the operation our products in the field.
4th Law was created to disrupt the complex and fast growing vehicle markets through modular, low cost control solutions. 4th Law's Control as a Service leverages cloud resources to provide control remotely while aggregating real time spatiotemporal data.
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