Help machines explain how they move

AI and machine learning founding member

Develop micro-clustering and stream clustering for PVC data at the edge on Q-Connect devices. Evaluate streaming methods, incorporate motion context and derived mechanical features, and validate results against real machine behavior and device resource limits.

Relevant experience includes data stream mining, online learning, unsupervised learning, time-series analysis, system identification, robotics, or applied machine learning. Experience deploying analytics on embedded or industrial edge computers is valuable.

Cloud and software founding member

Build the path from edge devices to usable analytics. Work on device connectivity, data services, account and device management, visualization, and reliable deployment. Help turn engineering prototypes into a product customers can use.

Relevant experience includes cloud applications, IoT systems, data pipelines, and software architecture. Our cloud direction uses AWS and MQTT connectivity.

CEO or business founding member

Lead customer discovery, define an initial market, develop pilot relationships, and help build the company and fundraising strategy. Work closely with the technical team to translate engineering capability into a product customers value.

We welcome people with experience in industrial software, robotics, automation, or early-stage company building.

Research and engineering collaborators

We also welcome graduate researchers and engineers interested in focused contributions to motion analytics, experimental validation, and drive integration. Tell us the problem you would like to work on and the commitment you can make.