Factory SuperIntelligence (FSI) is the Physical AI platform developed by GrayMatter Robotics. It pairs the proprietary GMR-AI model stack with domain agents and a multi-robot orchestration layer, delivering an end-to-end solution for new and existing factories. The primary application is automation of surface treatment (sanding, grinding, polishing, blasting, painting, coating) and inspection in industry.
Coordination (One Brain). Orchestrates human + robot + AI teams โ assigns tasks, synchronizes multiple machines and operators across a single production workflow.
Data (See Everything, Miss Nothing). Data integration and observability across production machines, sensors and robots. Builds a unified telemetry layer for the entire factory.
AI (optimization engine). Proprietary GMR-AI โ a suite of AI models and domain agents trained on what the vendor claims is the largest multi-modal manufacturing process dataset. Optimizes process parameters every shift.
Security (Enterprise-Grade). Enterprise-grade governance and access control, including defense sector (e.g. the April 6, 2026 MOU with HII for shipbuilding automation).
FSI is delivered as a Robotics-as-a-Service subscription bundled with hardware, operator training, change management and 24/7 remote monitoring. The vendor claims 4-12x higher throughput vs manual labor and 30-70% waste reduction. Disclosed customers include Boeing, Caterpillar, Oshkosh, Federal Signal and Vactor.
Physical AI platforms are software products that connect physical robots and industrial production processes with artificial intelligence models. Unlike a pure SDK or middleware, a Physical AI Platform ships as an end-to-end stack: perception, task planning, process parameter optimization, multi-robot coordination and operator UI. They target use cases such as surface treatment (grinding, painting, polishing), inspection, assembly and packing โ where business value comes from combining hardware, AI and domain knowledge.
Fleet Management software encompasses tools designed for managing a fleet of robots: task allocation and scheduling, status monitoring, over-the-air (OTA) firmware and software updates, error handling, and multi-unit coordination. It provides a centralised operations layer above individual robot controllers and is critical in warehouse automation, last-mile delivery, and industrial inspection deployments.
The Physical AI orchestration role describes software that ties perception, AI decisions and multi-robot control into a single production workflow. The orchestration layer assigns specific tasks to specific machines, monitors the real-time state of the process, tunes execution parameters (e.g. contact force, feed rate, motion trajectory) and reports production KPIs. It typically sits above the robot control layer and below ERP/MES.
GrayMatter Robotics' Physical AI software family for industrial surface treatment, inspection and process automation in manufacturing โ including the proprietary GMR-AI model stack and domain agents.
Production deployments at Boeing, Caterpillar, Oshkosh, Federal Signal, Vactor. April 6, 2026 MOU with HII (NYSE: HII) for Physical AI integration into shipbuilding operations (manned and unmanned shipbuilding).
Commercial deployments; no public developer community (closed-source software delivered through a RaaS subscription model).
License family: Proprietary โ Commercial
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