Robotics and computer vision for cannabis processing automation
Sorting Robotics builds robotics and computer vision systems for cannabis cultivation and processing. The stack is Python-heavy with AWS infrastructure, CAD tooling, and 3D printing—typical of hardware-software hybrids in early commercialization. Current projects center on teleoperation interfaces and standardized installation procedures, suggesting they're moving from prototype to repeatable deployment. Hiring is decelerating (4 roles in 30 days across a 16-person backlog) and heavily skewed to mid-level engineering, indicating a transition from founding-phase build-out to scaling production.
Sorting Robotics designs and deploys robotic systems and computer vision for cannabis brands, growers, and co-packers. Founded in 2018 and based in Los Angeles, the company focuses on reducing labor costs and increasing production efficiency in processing workflows. The product is applied across the legal cannabis supply chain, from cultivation to finished-product stages. The org is engineering-driven (13 engineers across mid and senior levels) with minimal sales and support footprint, typical of a hardware company in early market penetration.
Python for control and automation logic, AWS for infrastructure, CAD software for design, and 3D printing for prototyping and parts production. Linux and Git underpin the embedded and version-control layers.
Current projects include teleoperation interfaces for remote robot operation, foundational policies for VLA-powered systems, and standard operating procedures for installation and maintenance in customer environments.
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