Viam

Abstracts hardware differences across robots from different manufacturers through unified APIs, allowing developers to write control logic once and deploy across heterogeneous robotic platforms. Eliminates vendor lock-in by providing a standardized interface layer above manufacturer-specific protocols.

Provides centralized visibility and remote control capabilities for managing multiple robots or edge devices across distributed locations. Enables real-time status monitoring, remote diagnostics, and operational control without requiring custom infrastructure for each deployment.

Enables multiple robots to work together as a coordinated system, sharing information and synchronizing actions. Facilitates collaborative tasks that require communication and coordination between fleet members.

Tracks and analyzes robot performance metrics, health indicators, and operational data across the fleet. Provides insights into robot utilization, failure patterns, and optimization opportunities.

Exposes comprehensive REST and gRPC APIs for controlling robots and integrating with external systems. Enables third-party applications and custom workflows to interact with robots programmatically.

Allows teams to compose and integrate discrete AI capabilities (vision processing, motion planning, navigation, manipulation) as pluggable modules without rewriting core orchestration logic. Services can be mixed and matched to build custom robotic behaviors.

Bridges cloud-based AI services with edge devices and robots, enabling intelligent decision-making that leverages both cloud compute resources and local edge processing. Routes inference workloads between cloud and edge based on latency, bandwidth, and computational requirements.

Manages the configuration, provisioning, and deployment of robots and edge devices across the fleet. Handles agent installation, configuration updates, and ensures consistent state across heterogeneous hardware.

Integrates computer vision capabilities for robots to perceive and understand their environment. Processes camera feeds for object detection, tracking, and scene understanding without requiring custom vision pipeline development.

Provides motion planning capabilities to generate collision-free trajectories and coordinate robot movements. Abstracts the complexity of path planning algorithms and enables safe, efficient robot motion.

Enables autonomous navigation for mobile robots by providing localization, mapping, and path-following capabilities. Allows robots to understand their position and navigate to destinations autonomously.

Aggregates and streams data from multiple sensors (cameras, LiDAR, IMU, etc.) across robots and edge devices. Provides unified access to heterogeneous sensor data for processing and analysis.

Enables developers to script and automate complex robot behaviors and workflows without low-level hardware programming. Provides high-level abstractions for defining sequences of actions and conditional logic.