Physics-informed AI for robotic surface finishing and finishing automation
GrayMatter Robotics builds robotic cells for surface treatment and finishing in high-mix manufacturing, powered by proprietary AI that models physics-informed constraints. The tech stack—C++, Python, ROS/ROS 2, CAD, LiDAR, cloud infrastructure (AWS/Azure/GCP)—reflects a robotics-first engineering org (10 of 14 open roles) focused on motion planning, simulation, and field deployment. Pain points cluster tightly around labor (repetitive work, worker strain, throughput bottlenecks) rather than software platform issues, indicating the company sells concrete manufacturing automation to end users, not tools to developers.
GrayMatter Robotics designs autonomous robotic cells that handle surface finishing, coating, and polishing tasks in manufacturing environments where manual work is repetitive, ergonomically stressful, or difficult to automate at scale. The company targets high-mix, high-variability manufacturers—shops that run many product SKUs with varying geometries and finish requirements—where fixed-automation lines fail. The platform combines hardware (multi-DOF robotic arms), simulation software (coverage and cycle-time modeling), and proprietary GMR-AI to adapt motion planning to new part geometries with minimal reprogramming. Founded in 2020 and based in Los Angeles, the company operates at 51–200 employees with active R&D and customer deployment across the United States and Peru.
The stack includes C++, Python, ROS/ROS 2, CAD/Autodesk Inventor, LiDAR, 3D printing, and cloud platforms (AWS, Azure, GCP). Observability is handled via Splunk, Elasticsearch, and Prometheus.
Headquartered in Los Angeles, California. The company is actively hiring in the United States and Peru, with 51–200 employees total.
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