The Execution Engine
For Robotics
Script Flow leverages Vision Language models. It provides the Infrastructure and tooling to simplify your workflow. Robotics and Desktop operators made easy.
CA: xxxxxpump
Why Script Flow?
Vision Language Models
Script Flow integrates state-of-the-art VLM to interpret visual data into actionable robotic commands in real-time.
Infrastructure
Scalable node infrastructure designed for high-throughput robotics operations and simulation environments.
Sim-to-Real
Seamlessly transfer policies trained in simulation directly to physical hardware with zero-shot adaptation.
Simulated Reality
Train in the Matrix.
Train in the Matrix.
Deploy on Metal.
Script Flow provides a unified interface for controlling desktop agents and robotic arms. Define tasks in natural language, and let our engine handle the low-level execution logic.
- > Zero-latency inference
- > Multi-modal input support
- > Cloud & Edge deployment
The Execution
$ pip install script-flow-sdk
> Installing dependencies... Done.
$ scriptflow init --agent robotics_v2 > Initializing vision model... OK > Connecting to hardware interface... Connected
# Define task via natural language >>> agent.execute("Pick up the red cube and place it in the bin") > Processing visual context... > Plan generated: [Grasp, Lift, Move, Release] Execution started.
$ scriptflow init --agent robotics_v2 > Initializing vision model... OK > Connecting to hardware interface... Connected
# Define task via natural language >>> agent.execute("Pick up the red cube and place it in the bin") > Processing visual context... > Plan generated: [Grasp, Lift, Move, Release] Execution started.