Viam

Unify and optimize machine operations with AI-driven insights, real-time telemetry, and predictive maintenance, bridging software and hardware for streamlined efficiency.
Industrial Automation Predictive Maintenance IoT Device Management

With Viam's cloud-based platform, companies can build, monitor and manage smart machines in a more streamlined way. By bridging the gap between software and hardware, Viam lets global teams use sensors, machines and devices more effectively at scale.

Some of the key features include:

  • Clear Data and Insight: Consistency across machines for unified visibility.
  • AI for Machines: Easily add AI capabilities to devices, choosing from popular models or customizing to specific needs.
  • Deploy AI to Your Fleet: Manage and deploy AI models across machines using the Viam Modular Registry.
  • Predictive Fleet Maintenance: Collect real-time and historical telemetry data to diagnose issues and apply preventative measures.
  • Leverage a Single Pane of Glass: Unified view and interoperability among different machines, regardless of their make or software.

Viam's platform is particularly useful for predictive maintenance, code deployment, extending machine lifespan, and environmental monitoring. The system is designed to be flexible and hardware-agnostic, making it suitable for various industries and use cases.

Developers can use Viam's open-source architecture to build smart machines using any hardware, software, or programming language. The platform includes tools for data capture, registry management, machine learning, and mobility. In addition, Viam offers a pay-as-you-consume pricing model, allowing users to only pay for the cloud services they utilize.

Viam's goal is to improve operational efficiency and accelerate developer velocity by providing a seamless bridge between software and machines. With its intuitive interface and modular design, Viam helps teams streamline their smart machine projects and bring them to life quickly and efficiently.

Published on July 7, 2024

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