A vision-language-action model turns what the robot sees and a plain instruction into motion. We build the pipeline around it, and the fleet layer that decides which robot, when and where.
Data
Teleoperation and demonstration capture in the LeRobot format, checked and cleaned.
Train
Fine-tune open models such as SmolVLA on your tasks and your robot.
Evaluate
Test each policy in simulation, across many scenes and seeds, before it touches hardware.
Deploy
Run the policy behind a safety layer, with fleet-level work handled by the platform.
What you get
- Demonstration data pipeline in the LeRobot format
- A policy fine-tuned on your tasks and your robot
- Evaluation in simulation across scenes and seeds
- Deployment behind a safety layer
- Fleet-level integration with our platform
Common questions
How does a VLA fit with fleet software?
The VLA decides how to pick up the item. The fleet platform decides which robot, when and where. We build both layers.
Tell us what you’re building and we’ll tell you how we’d approach it.
Or email Muhammad Mursil, founder: founder@agentve.ai