Pixels to Parts is Reframe Systems' proprietary software that connects building design with robotic production. It converts a home's CAD design into part specifications, machine instructions and digital work instructions for the robotic arms and machining equipment in its microfactory.
Developer requirements and local codes (building codes, zoning) drive the architecture and design. The CAD design is translated — using digital tools, AI and human input — into part specifications and instructions for robots and machines. Components are prefabricated in the microfactory in parallel with on-site foundation and utility work, then delivered and assembled on site.
The software enables mass customization at low volumes: each home is individually adapted to local codes and conditions, yet still produced through an automated factory process.
Reframe Systems was founded by former Amazon Robotics leaders (including Vikas Enti, MIT SM '20). Press coverage (Forbes, The AI Insider) frames the company's approach as "Physical AI" and describes "pixels to parts" as the proprietary software driving the process. The software is internal/proprietary — there is no public repository or open-source release.
A class of software that connects the design phase (CAD/BIM, parametric design) with the manufacturing phase. It automatically translates project geometry and requirements into part lists, tool paths, machine code and digital work instructions for robotic arms, CNC machines and shop-floor operators. It enables mass customization at low volumes because each design is compiled into its own bespoke set of factory instructions.
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 — where business value comes from combining hardware, AI and domain knowledge.
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.
Homes built in Reframe Systems microfactories (incl. FAB1 in Billerica, MA); per 2026 press reports ~10 homes completed, 8 occupied (e.g. a Somerville, MA triple-decker).
License family: Proprietary – Commercial
No version history.
