Stream-to-Action Automation
Define workflows where video streams, sensor data, and telemetry are continuously ingested, analyzed by AI, and turned into real-time actions—emails, alerts, API calls, or robot commands. No coding required: design visually, execute at the edge or cloud.
Workflow Pipeline
Workflow Triggers
Start workflows from schedules, incoming data, external webhooks, or mission events.
Schedule
Run workflows on intervals or cron schedules
MQTT Message
Trigger when sensor data arrives via MQTT
Webhook
HTTP endpoint for external system integration
Mission Event
Trigger when a mission starts, completes, or fails
Video Analysis
Triggered by computer vision detections
Telemetry Alert
React to sensor threshold crossings
Data Sources
Connect workflows to real-time video, sensor streams, and twin state.
Ingest live video from cameras and sensors for real-time analysis
AI-Powered Processing
Process ingested data with vision models, language models, conditional logic, and external APIs.
Vision Models (VLM)
Analyze images and video frames with AI
Language Models (LLM)
Process text, generate reports, and make decisions
Conditional Logic
Branch workflow based on conditions
HTTP Requests
Call external APIs and services
Action Outputs
Turn insights into action: notify teams, trigger external systems, or command robots.
Send Email
Automated email notifications with dynamic content from workflow data
Push Alert
Real-time alerts to dashboards, mobile apps, and notification systems
API Call
Trigger actions in external systems via REST APIs and webhooks
MQTT Command
Send commands directly to robots and edge devices via MQTT
Example: Safety Monitoring Workflow
Automatically monitor camera feeds for PPE compliance and alert supervisors.
Why Physical AI Workflows?
Physical-World Native
First-class support for spatial layouts, robot capabilities, and safety constraints
AI-Augmented
Integrate LLMs and VLMs directly into workflow logic for intelligent automation
Real-Time Processing
Sub-second latency for time-critical safety and operational workflows
Cross-Fleet Coordination
Orchestrate heterogeneous robots and sensors in unified workflows