Listing Details


12 Channel St, Suite 502, c/o MassRobotics
Boston, MA 02210
United States

Contact: Rahul Chipalkatty
[email protected]
(404) 242-0101
http://southie.ai

We develop an intelligent robot software platform that makes robotic automation feasible for any size batched material-handling application without specialized programming expertise. This delivers returns on investment in high-mix and/or low-volume applications as new tasks can get set up easily in minutes through our paradigm-changing, voice and gesture-based interface.

Southie Autonomy Wand and object

Southie Autonomy Wand and menu.

Designed to work with any robot or collaborative robot (cobot), companies can now justify the use of automation in material-handling applications — like kitting, palletizing, pick & place — that were previously not cost feasible due to its high-mix nature.

Analysts estimate that a large percentage of tasks could be automated but aren’t. Companies are struggling to find workers for boring, repetitive, and dirty tasks. We make it easier and cost-effective for businesses to augment their workforce and increase output with automation, using their own in-house staff.

To date, businesses haven’t been able to justify the ROI for automation of high-mix or batched material handling. The setup and changeover costs are too high so they solve their needs by using assembly lines of humans.

We have spoken with more than 100 companies, and feedback validates the need for robots: 4% unemployment is making it hard to find and keep people for this type of work. It is hard to scale and retain people, and workers’ compensation claims in the U.S. only adds to this shortage.

Our targets are the kitting companies for the end-producer including the 400+ logistics kitting companies in the U.S. and big players such as UPS.

Three kitting applications are seeing significant growth: pre-packaged surgical procedure trays and DTC home health tests (e.g., UPS, Cardinal Health, 23ANDMe), mass customized consumer products direct from producers (e.g., P&G, Unilever), and pre-production automotive applications connecting logistics and the production line (e.g., Mercedes-Benz, BMW). These segments use considerable manual labor for “automatable” material handling tasks that are cost infeasible using today’s inflexible automation.

The Wand product includes AI/AR software that works with any robot or cobot and includes vision and projection hardware (COTS), a workflow software (e.g. kitting) pre-loaded on processor.

We have lowered the bar for robot adoption in applications where it was thought infeasible by enabling the robot to program itself. We have focused on applications that are repetitive but variable — hundreds, not millions of items per batch — and where humans previously did the work.