A tightly integrated, open-source-first platform that unifies programmatic design, interactive AI agents, manufacturing, simulation, and learning into one stack—bringing full-stack robotics within reach of any team.
End-to-end workflows from idea to fleet-scale deployment
Create fully parametric robot geometries using CadQuery, OpenSCAD, and Python APIs, enabling scripted mechanisms, assemblies, and instant variations across entire design families.
Open-source reference robots that can be interactively modified by AI agents—edit arm reach, payload, or mobility constraints and regenerate CAD, PCBs, and firmware in minutes.
Multi-material 3D printing, CNC, and PCB workflows with automatic DFM checks, print/CAM job queues, and vendor routing for cost-optimized production runs.
NVIDIA Isaac Sim, Gazebo, and Webots integration for physics-accurate digital twins, policy training, and hardware-in-the-loop regression tests before touching hardware.
Firmware synthesis agents generate HALs, RTOS configs, and ROS2 nodes for microcontrollers, while control agents tune planners, IK, and feedback loops from real-world telemetry.
Interactive courses, notebooks, and community blueprints that grow a shared library of robot building blocks, all versioned and composable through Git-driven workflows.
From proprietary stacks to intelligent, modular building blocks
Every phase of the robot lifecycle in one connected toolchain
CadQuery and OpenSCAD-based parametric modeling with a Python API for algorithmic geometry, constraint solving, and batch design exploration.
LLM-powered agents that read design goals and constraints, then rewrite CAD scripts, update joints, materials, and mass properties, and push changes into Git.
From export to toolpath: 3D printing (FDM/SLA/Polyjet), CNC, laser cutting, and PCB fab orders driven by a single design source of truth.
NVIDIA Isaac Sim, Gazebo, and Webots adapters, synthetic data pipelines, and physics validation hooks that mirror real hardware configurations.
Firmware agents emit MCU projects, drivers, and RTOS scheduling policies that match each hardware variant, closing the loop between CAD, PCB, and code.
KiCad-based reference designs for motor drivers, sensor hubs, and power stages, plus BOM optimization and supply-chain-aware design assistants.
Notebooks, tutorials, and challenge tracks that walk users from “hello world gripper” to multi-robot cells, all built with the same toolchain.
A living library of modules, blocks, and full robots, each with code, CAD, PCs, and simulation, enabling true fork-and-go development.
Turning weeks of rework into scripted, agent-driven cycles
Conceptual: manual CAD versus scripted workflows with agents and simulation.
RoboFlow expresses robots as code and data, so design changes propagate through CAD, simulation, and firmware with a single commit instead of multiple teams repeating work.
Quantifying the leverage of a fully integrated robotics platform
From requirements to deployed fleets, all in one loop
Click to see how an agent turns a requirement into a complete parametric design + workflow.
Plug into the tools and hardware you already use
Specialized agents collaborating across the robot lifecycle
A phased rollout from core tech to global adoption
Positioning RoboFlow in the next decade of robotics