The validation that lets agents help develop connected products.
Agents write changes across firmware, app, and cloud at the speed they think. Groundrun is the step in their loop that runs your product's critical flows on real hardware, so the work is validated as they develop it.
Connected products are moving to agent-driven development. Agents write changes across firmware, app, and cloud faster than any team can walk the product by hand to check them.
That check is the piece the loop is missing. When a change touches the device, the app, and the cloud at once, the way to know it works is to run the whole product on real hardware.
We have spent years building that kind of infrastructure for connected products: hardware in a rig, the app on real phones, the cloud wired in, and scenarios that walk a product's critical flows end to end.
Groundrun runs those scenarios inside the agents' loop. An agent makes a change, runs your flows on the hardware, reads the results, and shapes its work against what the real product does. Coverage starts with your highest-priority flows and grows toward every flow your product has, so the team's speed stays the agents' speed.
The teams we work with already build, test, and ship well. What agent-driven development adds on top is release confidence that matches that investment: validation on the real product, as the work lands.
What is Groundrun?
Groundrun is the validation step inside the loop where you develop your connected product with AI agents. Your hardware runs in a rig, with the app on real phones and your cloud wired in, and scenarios for your critical flows run end to end as the agents work.
Who is Groundrun for?
Groundrun is for CTOs, CPOs, and VPs of Engineering and Product at connected-product companies. Teams whose product spans firmware, cloud, and app use it to develop with AI agents and release on validation that the whole product works together.
How does Groundrun work with AI coding agents?
Groundrun runs as a command-line tool, so coding agents invoke scenarios and read results directly while they develop. An agent runs the product-specific scenarios to validate each step as it works, and the full suite validates the end result. An agent-written change validates itself end to end, on your hardware, before it reaches your release channel.
What does Groundrun change about adopting AI agents?
Every flow under validation is a flow you can hand to an agent. The coverage you build now compounds when you adopt AI, ready before your first agent-written change, and Groundrun validates that work on your hardware as the agents develop it.
How does Groundrun work?
Groundrun runs your critical flows end to end on your hardware, with your app and your cloud, alongside the tests the teams already run. Agents run the product-specific scenarios as they work, the full suite validates the end result, and every run posts its results to your release channel. The rig is built around your devices, the scenarios are authored and kept current as your product evolves, and coverage grows toward every flow.
What does the name Groundrun mean?
A ground run is the aviation procedure that brings an aircraft's engines to full power while the wheels are still on the ground, validating the machine before it flies. Groundrun does the same for your connected product: your critical flows run end to end, on your hardware, so a change is validated against the real product before it reaches your customers.
Who founded Groundrun?
Groundrun was founded by Adam Dunkels, creator of Contiki, uIP, and lwIP, the open-source networking software running in billions of connected devices.
How do we get started?
Book a demo and tell us about your product. We'll walk through your critical flows together and show you what continuous validation looks like for your release process.