Rose City Robotics, Inc.

Rose City Robotics builds inspection from CAD so quality teams can define defects up front and deploy stable go/no-go inspection for high-mix production.

• STEP-to-Model Toolchains

  RoseVision CAD Studio turns design files into deployable inspection logic for on-prem edge hardware such as NVIDIA Jetson Orin or x86 systems.

• Defect Definition and Inspection Logic

  Workflows let manufacturing teams upload STEP files, define the defects that matter, and avoid full retraining when CAD changes.

• Edge Deployment

  Inspection logic is deployed on on-prem edge hardware for environments that require latency, throughput, memory, and security control.

Rose City Robotics designs and implements robust classical and machine-learning vision algorithms for inspection, defect detection, measurement, tracking, and image registration.

• Defect Detection and Measurement

  Algorithm work is built for production variance in manufacturing inspection and measurement workflows.

• Image Registration and Tracking

  Recent team work includes image registration from in-procedure video in surgery and other vision-imaging applications.

• Embedded Performance Optimization

  The team optimizes algorithms for real-time embedded and edge constraints, including latency, throughput, and memory.

Rose City Robotics partners with quality engineers and process engineers to design pilots, wire inspection outputs into robotic cells, and prove production business cases.

• Robotic Cell Integration

  Deployment work includes integrating outputs into PLC, robot, and HMI stacks alongside existing engineering and integration partners.

• Pilot Design

  Pilot work is aimed at fewer escaped defects, less over-processing, and unattended production runs that hold up on the factory floor.

Rose City Robotics builds high-fidelity virtual worlds and simulation pipelines that let teams validate perception and inspection logic before full-scale deployment.

• Physical AI Training Pipelines

  Simulation work supports autonomy, robotics, and complex environments where data collection is slow or expensive.

• Digital Twin Development

  The technical stack includes NVIDIA Omniverse, Isaac Sim, and Cosmos for synthetic data generation and digital twin workflows.