The engineering platform for devices in the physical world.
Viam is a full stack solution for the kinds of devices that exist anywhere from your home, your office, in cars or boats, in warehouses or factories, at arenas, or other public places.
Viam is already an extensive platform, and continues to expand, because building products in the physical world is hard, and cobbling together a dozen tools or building them yourself takes a huge amount of valuable work from the engineers who should be focused on your unique products.
Viam is designed to run everywhere, from a Raspberry Pi, to a massive Linux server, to an ESP32.
We start with low-level integrations with any sensor or actuators, and enable you to connect and manage everything in the cloud; with that it is simple to get data from the physical world into the cloud, and taking action on it back in the physical world is just as easy.
Everything in Viam is pluggable and modular. You can add support for any device you need, any algorithm you want, or any model training or inference engine you care to use.
Please read more below, and in the docs, and we can’t wait to see what you build.
Connect, actuate, program, deploy, and control your devices with ease. With simple APIs, an open source registry, pluggable modules, and turn-key mobility solutions, Viam eliminates the pain of manual configuration and tortuous integrations—saving you time, effort, and costs at every step.
From code deployment and software upgrades, to security updates, network and log management, Viam gives you all the tools you need to run efficiently at scale, significantly reducing expensive on-site servicing and upgrades.
Transform and train your physical world data in the cloud. Employ it at the edge.
Viam gives you AI, ML, storage, and data sync with unparalleled performance. With a single, efficient loop from your device to your data and AI solutions and back again, Viam takes care of the plumbing that would otherwise take you months or years to build, greatly increasing your ROI and creating real value.