Massivit has introduced RapidWings, a global network of on-demand production facilities aimed at addressing bottlenecks in defense composite manufacturing by drastically reducing lead times.
Israel-based Massivit has launched RapidWings, a global network of local, on-demand production facilities designed to overcome bottlenecks in defense composite manufacturing. The network, already operational in Israel, is now seeking certified manufacturers in the United States and Europe to join.
RapidWings utilizes Massivit's proprietary Cast-In-Motion (CIM) technology, a large-format digital deposition process for dual-component thermoset composite tooling. This technology can reduce the production time for composite molds from months to days, while also lowering tooling costs by 40-70% compared to traditional methods.
The commercial model operates through Joint Manufacturing Alliances (JMA), establishing regional agreements with certified Tier-2 composite facilities. These partners integrate CIM capabilities into their existing operations without requiring new capital expenditure, allowing them to increase order volume and maintain control over their businesses.
The first JMA is already active between Massivit and Comparts Ltd. in Israel, serving leading original equipment manufacturers on defense programs. This initiative aims to significantly shorten manufacturing timelines, enhance capacity, and accelerate the replenishment of weapons stores, addressing a critical need within the defense industrial base.
RapidWings addresses a significant bottleneck in defense manufacturing: long lead times for composite tooling. By leveraging its Cast-In-Motion technology within a distributed network of existing manufacturers, Massivit aims to provide a scalable, on-demand solution. This aligns with the broader additive manufacturing trend of developing specialized, high-speed production platforms for critical industries like defense and aerospace, where rapid deployment and supply chain resilience are paramount.
Edited by the news editor with AI from the original report — please refer to the original source.