News

Aniai

Quick Service Restaurants are facing labor shortages and are resorting to excessively raising wages and compensations to keep their stores afloat. The average wage of production and nonsupervisory employees has risen sharply, reaching an average of $19, far exceeding the minimum wage. As a result, the profit margin of QSRs, which had already been low, is dropping steeply.

Our intelligent robotic kitchen is fundamentally and cost-effectively solving this problem by supplying restaurants faced with a shortage of manpower with the required labor. Additionally, with the robotic kitchen doing the demanding and dangerous work in the kitchen, even elderly workers can be actively hired for the remaining tasks like refilling ingredients.
(FACTS) – Quick Service Restaurants (QSR), which account for more than a third of restaurants in the US, have increased by 40% over the past 20 years. However, the fast food industry, which has considerably relied on teenagers for its entry-level jobs with minimum hourly wages, is now finding a shortage of labor. The supply of young workers is decreasing, and the reasons are as follows: lower fertility rates and the pursuit of high-salary jobs due to increased emphasis on education. This eventually cascaded to 1.5 million unfilled job openings at restaurants and hotels, double the number a year earlier.

Airbotics

Airbotics is an open-source software deployment platform for robotics. It is a self-hosted, secure, software deployment platform built on Uptane and OSTree designed to work for any fleet size and integrate with the hardware and software used in robotics.

Acumino

Acumino means ‘to build skills or acumen’, and that perfectly captures what we do. Our focus has been to make the AI training of robots to perform tasks in very diverse environments (homes, warehouses, hospitals, businesses, etc.) faster, safer, more accurate, more scalable, and more cost effective than any method currently used. Our solution meets each and every one of those goals.

Our new approach to robotic training come from our taking a different approach. Our two founders have decades of experience in training data for complex AI systems for large tech companies such as Amazon, Microsoft, Meta, Apple, Google and others – and recognized early on that robotic training at scale was largely an unsolved problem. Three years ago, they joined forces with one of the top researchers in robotic grasping and manipulation and developed a hybrid solution that uses robotic technology and human-in-the-loop strategies to develop a solution that is orders of magnitude faster and cost efficient than training methods currently used.

Contact

12 Channel Street, Boston, MA 02210
info@massrobotics.org

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