Someone asked us this exact question
An automotive company reached out with an agricultural truck they already owned. They didn't need hardware — they needed the AI, sensors, and deployment stack to make it autonomous. It's a fair question and worth answering directly.
The short answer: it depends on the use case
Our standard deployments involve us selecting and sourcing the hardware platform, training it in simulation, and deploying a complete working system. That's the clean version of what we do.
However, if you have existing hardware — a vehicle, a platform, a mobile unit — and you need the intelligence layer added (autonomous navigation, sensor integration, simulation training, deployment), that is a different conversation. It is more complex, but it is not automatically out of scope.
What "adding the intelligence layer" involves
If your hardware is compatible, the process would include:
Sensor integration — fitting your hardware with the necessary perception sensors: LiDAR for navigation, HD cameras, ultrasonic sensors, and thermal imaging where required
Intelligence stack — implementing an autonomous navigation and control layer using standard robotics frameworks (ROS2) on top of your existing hardware
Simulation training — building a simulation of the operating environment and training the system within it before real-world deployment
Deployment and validation — commissioning the system in your actual operating environment, validating performance, and handing over
What makes this feasible or not
The key variables are:
What your existing hardware is and whether it supports the sensor and compute requirements
What the operating environment is (indoor, outdoor, agricultural field, industrial yard)
What tasks the system needs to perform autonomously
Whether the use case falls within warehouse automation or security — our two core verticals — or whether it's a custom engagement
If your use case is outside our two standard verticals but involves autonomous systems and simulation-first deployment, we may still be able to help — but it would be scoped as a custom engagement rather than a standard deployment.
How to find out if your situation is a fit
The only way to know is to talk through your hardware and use case directly. Email us at [email protected] with a description of what you have and what you're trying to achieve. We'll tell you honestly whether it's something we can take on, and what it would involve.