Build, simulate, and deploy
robots in the cloud - before touching
hardware
The software-first platform for robotics development. Build applications, train AI models, and bridge the sim-to-real gap without upfront hardware constraints.
$ pip install tensorfleet
THE PARADIGM SHIFT
Welcome to Software-First Robotics
Robotics development is traditionally bottlenecked by hardware. TensorFleet flips the script.
The Old Way (Hardware-First)
- Buy hardware & wait for shipping.
- Weeks of ROS, environment, and driver configuration.
- Debug blindly on physical robots.
- Fragmented toolsets across 10 platforms.
The TensorFleet Way (Software-First)
- Launch an instant cloud VM and code now.
- Prebuilt environments for ROS 2, Gazebo, PX4, and ArduPilot.
- Validate in simulation before deployment.
- One full-lifecycle platform in VS Code.
ARCHITECTURE STACK
The Operating System for Robotics Development
Secure OTA Updates & Digital Twins. GCS-like interface for Arm/Disarm, Flight Mode switching (AUTO, OFFBOARD), and fleet-wide health monitoring.
Native Perception Pipelines. Hosted AI/ML workflows for Computer Vision, obstacle avoidance, imitation learning, reinforcement learning, and synthetic dataset collection.
Native PX4 SITL & Gazebo. High-fidelity physics running on cloud GPUs with multi-robot support and sensor emulation (Lidar, Depth Cameras, IMU).
The Robotics Cockpit. A "web-app" feel for robotics. Integrated ROS 2 workspaces, MAVLink telemetry, and real-time teleops panels directly in your editor.
Scalable Robotics Compute. Instant-on Ubuntu/ROS containers with pre-configured dependencies and high-performance GPU/CPU instances for low-latency streaming.
Secure OTA Updates & Digital Twins. GCS-like interface for Arm/Disarm, Flight Mode switching (AUTO, OFFBOARD), and fleet-wide health monitoring.
Native Perception Pipelines. Hosted AI/ML workflows for Computer Vision, obstacle avoidance, imitation learning, reinforcement learning, and synthetic dataset collection.
Native PX4 SITL & Gazebo. High-fidelity physics running on cloud GPUs with multi-robot support and sensor emulation (Lidar, Depth Cameras, IMU).
The Robotics Cockpit. A "web-app" feel for robotics. Integrated ROS 2 workspaces, MAVLink telemetry, and real-time teleops panels directly in your editor.
Scalable Robotics Compute. Instant-on Ubuntu/ROS containers with pre-configured dependencies and high-performance GPU/CPU instances for low-latency streaming.
AI-NATIVE ROBOTICS
Built-in AI, Perception, and Training workflows
TensorFleet isn't just infra—it's an AI powerhouse.
Perception Pipelines
Computer vision workflows with multi-camera support.
Dataset Collection
Record demonstrations, sensor streams, and simulation data for training and evaluation across robot, drone, and arm environments.
Policy Training
Run imitation and reinforcement learning workflows on cloud GPUs, including LeRobot-compatible training pipelines for SO-101.
FEATURES
Everything you need, in one platform.
TensorFleet isn't just infra—it's an AI powerhouse.
Instant Dev Environments
Skip the setup and eliminate "dependency hell." Spin up a cloud-native workspace with ROS 2, Gazebo, PX4, ArduPilot, and MAVROS pre-configured in a high-performance Ubuntu container. Be ready to fly or drive in 30 seconds.
VS Code-Native Experience
Robotics development that feels like building a web app. Access a modern flight dashboard and robot cockpit directly in your IDE. Monitor vitals—Altitude, GPS, Battery, and Heartbeat—alongside your camera streams and Python scripts.
AI-Native & Simulation-First Workflow
Don't just control robots—train them. Build in code and test in high-fidelity simulation using built-in pipelines for perception models (YOLO), synthetic data collection, and reinforcement learning for precision landing or warehouse navigation.
The Sim-to-Real Bridge
Move from the simulation to physical hardware with absolute confidence. Test your "Offboard" mode logic in a digital twin, then push the exact same code to your physical Pixhawk, Jetson, or Raspberry Pi via our secure hardware-in-the-loop bridge.
HOW IT WORKS
From Simulation to Real World in 5 Steps
TensorFleet isn't just infra—it's an AI powerhouse.
Launch
Spin up your pre-configured environment in one click.
Code & Sim
Write your logic and watch the 3D Gazebo simulation react instantly.
Train
Use cloud GPUs to sharpen your perception and autonomy models.
Validate
Run simulation and hardware-in-the-loop tests to ensure zero-fail reliability.
Deploy
Sync your validated code to your physical fleet via the TensorFleet bridge.
TARGET AUDIENCE
Built for the next generation of robotics.
Robotics Developers
Stop wrestling with environment setup and focus on code.
Drone & Autonomous Teams
Build, test, and operate autonomous systems with PX4, Ardupilot, MAVLink, and ROS 2 workflows.
AI Engineers
A familiar, scalable cloud-native stack for physical agents.
Startups
Iterate faster and cheaper without massive hardware overhead.
Ready to turn robotics into a software problem?
TensorFleet does for robots what AWS did for servers, GitHub did for code, and Hugging Face did for ML.
Join the waitlist
Get early access updates, docs, and samples as they ship.