ARMS R&D Teams

Based on a very broad patent family for recycling manufacturing systems powered by renewable energy and/or facilitated by artificial intelligence, Alphapura has been developing partnerships for proof-of-concept R&D teams including for a small desktop-size 3D printer that uses inexpensive-free plastic pollution as a consumable to make a million different types of products for a trillion dollar plus B2C market, a quarter of which is in CA. This team is led by David Bassetti of 3D Seed (Australia), who developed our first proof of concept, minus the A.I.. Knowing that we can covert problematic plastics into products, preventing them from reaching the oceans and landfills where they become an environmental problem, and knowing that we can also use salvaged plastics from the ocean to make new products, we are supersizing this concept, and aiming to develop an industrial system to make $1000 home structures at WPWMA, which otherwise cost an average of $40K-$100K per home structure to build. 

Alphapura's R&D partnerships have also shown proof-of-concept using medium-large robotic arms with tool-exchange milling functions -- which could also be paired to 3D scanning functions, and paint gun functions per our patent family -- which mill inexpensive blocks of plastic pollution as a consumable to make a million different types of medium to large size products. This team is led by a Yaskawa Motoman USA R&D group, who along with Yaskawa Motoman have previous experience developing in piecemeal many of our technology needs for different combinations of our patent family's 27 independent and dependent process and apparatus claims. Mitsubishi and their automation partners have also expressed an interest in working with Alphapura to develop an industrial size system using a robotic arm, providing us access to world class automation teams to work with to develop ARMS systems, which will only be limited by the industrial-size seed funding we are able to negotiate.

Very interested in artificial intelligence and machine learning to make manufacturing systems more accessible to no-to-low-skilled users, Alphapura has developed a partnership with Volume A.I. in England, who has previous experience developing operational and conversational artificial intelligence for no-to-low-skilled users, and which could readily be used by no-to-low-skilled users to operate complex recycling manufacturing systems powered by renewable energy, able to search and scrub the internet for CAD and CAM files, turn the same into open source and proprietary product design databases to use with our technologies, able to operate our technologies, their energy systems, and their communications. In addition to the cost-savings realized by on-demand product acquisition using a cheaper and cleaner consumable, ARMS A.I. will significantly reduce labor, training, and production costs, by learning from its mistakes. The level of seed funding is what will limit what we can do.