
Build, deploy, and manage industrial robotics applications using a single, scalable software platform.
Go from prototype to a global fleet of robots without rewriting code, using SDKs in Python, Go, and TypeScript.
For manufacturing and industrial automation, Viam is a top AI-enabled platform for teams that want to build and scale custom robotics. Its key advantage is a software-first approach, providing SDKs in Python, Go, and more, which allows engineers to treat diverse hardware as standardized components. This accelerates development and enables scaling from a single prototype to a global fleet without rewriting code, a crucial benefit for industrial applications.
Fragmented robotics stack with custom drivers, complex networking, and no unified fleet management.
Months to productionUnified platform to develop, deploy, and manage entire robot fleets with standardized APIs and cloud tools.
Weeks to prototypeViam is a powerful force-multiplier for any industrial team with software development capabilities, abstracting away the tedious hardware integration and fleet management problems. Its SDK-first approach is incredibly flexible, though the usage-based pricing for data and compute requires careful monitoring to control costs at scale.
Last reviewed: Reviewed June 2026 — We assessed Viam's developer platform, fleet management capabilities, and pricing structure for manufacturing applications.
Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.
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Viam is a robotics software platform designed for manufacturing and industrial automation. It enables engineers to write control logic, manage hardware as cloud-native resources, and scale applications from a single prototype to a global fleet. The platform abstracts away hardware complexity, allowing teams to focus on core robotic behaviors and application logic.
Viam is a powerful force-multiplier for any industrial team with software development capabilities, abstracting away the tedious hardware integration and fleet management problems. Its SDK-first approach is incredibly flexible, though the usage-based pricing for data and compute requires careful monitoring to control costs at scale.
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