Super Resin Inc., the root of seven dreamers, was founded in 1957. In 2008, it became a subsidiary of the I.S.T Group, founded in 1983, which began the rebirth of Super Resin.
We started developments for health care in 2001 and robotics in 2005. With those technologies, we aimed for “changing the lives of people with impressive technological capabilities” and that’s when they were transferred to and taken over by seven dreamer’s laboratories, inc. in 2011.
In 2014, seven dreamers laboratories, inc. was founded in Tokyo. seven dreamers’ “space quality” products soared into the world through the opened door.
We are creating the world’s first automatic laundry-folding machine. Laundroid will come equipped with image sensors that can detect the kind of laundry it must fold, and use robotics which are capable of handling each material appropriately. It can detect the difference between shirts and pants, for example, and fold the clothing accordingly.
We have also created Nastent, nasal cavity insertion device to prevent the narrowing and obstruction of the airway which causes poor sleep, frequent awakening during sleep, and snoring. After 7 years of R&D, now you can find this on the market in all major pharmacies in Japan.
By creating products that are not yet available in the world, we can create a large market of superior technologies for people that are wishing, “if I had something like this, I could do something like this” and change their lifestyles.
At seven dreamers, we believe that we can generate performance that humanity has never seen with our vast technology.
Interested in Machine Learning? We’re working hard, having fun, and innovating; come join us! We are working on building Laundroid, the world's first laundry folding robot.
Our brand new product is a FIRST! Meaning there is no existing models in the world, so we expect you to have great ideas, a range of techniques, problem solving skills and are not scared of the challenge!
We are seeking an algorithms engineer to help us innovate, optimize and operationalize our machine learning algorithms and frameworks.