edgeos

plug & play
robotics

nailing the
narrative

EdgeOS is transforming cloud infrastructure with fully integrated AI-native systems. Their modular racks, built from the ground up for large-scale model training and inference, combine cutting-edge photonics, compute, and cooling into a single stack. With a design inspired by hyperscalers but optimized for AI, Wendy's system removes the usual friction between hardware, software, and networking—delivering plug-and-play scalability across racks, buildings, and datacenters. Their team includes veterans from Cerebras, Tesla, and Google, and their technology is built to serve the next era of model development.

simplified message

Robotics training infrastructure today is hacked together from mismatched parts. EdgeOS gives you a vertically integrated system—purpose-built for physical computing—so you can focus on what you want your robots to do, not how.

product
visualization

EdgeOS was on the cusp on launching when we started working together. Their product is software, but they wanted the users to use as little imagination as possible when it came to the devices their OS runs on. We worked to create representations of the Raspberry Pi and Nvidia Jetson platforms as they were the most common use cases.

design
challenges

I plug and play simplicity

The Edge founder was crystal clear in his intent: his software finally brings plug and play simplicity to the world of robotic operating systems. Instead of spending weeks getting robots to work in a narrow set of circumstances, for the first time anyone can bring their hardware to life with his top-level OS.

II organic look & feel

The founder didn’t want the typical design playbook of mechanical software design language. He wanted to convey that Edge breathes life into formerly brittle robotics, calling for an organic language of linework that took a fair bit of development to get right.

III multiple use cases

Useful for everything from hobbyist drones to entire fleets of federal space satellites, we worked together to come up with an array of use cases that demonstrated the scope of use cases for what he had created. (with even more to come!) Similarly, he requested two versions of the video, one with the Raspberry Pi hardware and another with the Nvidia Jetson to paint a crystal clear picture of who this product was for.

visual
design

Founder Maximilian Alexander was refreshing clear on his vision for this project. He wanted the overwhelming takeaway to be simplicity in a domain that was formerly impenetrable. This informed every design decision, contrasting the ornate hardware of the Raspberry Pi and Nvidia Jetson with a clean desk. The details of robotic operating systems were simplified into what felt like magic breathing life into cold machines. The focused scope made this a fun project to work on, accelerating the information ingest associated with most of my tech clients and diving straight into the execution.