Solutions
Industrial IoT Workflow Automation
Bridge the gap between digital reasoning and physical execution. SourceWorx AI ingests continuous telemetry from billions of sensors and powers intelligent, autonomous workflows directly at the edge.
Edge Agent Architecture
<1ms
Inference Latency
Deploy specialized models directly to edge nodes for instantaneous anomaly detection.
45%
Drop in Downtime
Actionable alerts translate directly into pre-filled maintenance work orders automatically.
PB+
Data Scale Processing
Ingest massive streams of telemetry without crashing your central data warehouse.
From Sensors to Autonomous Action
Modern operations create massive streams of IoT data that humans can't process. Our platform enables Agentic AI to monitor these streams, deduce root causes, and execute remediation workflows.
IoT Architecture & Edge Computing
Sending petabytes of raw sensor data back to a centralized cloud for processing is expensive and slow. We fix this by pushing specialized AI agents as close to the hardware as possible.
Securely provision, monitor, and update millions of edge devices globally. Deploy lightweight AI agents directly to the edge for autonomous local decision-making and immediate anomaly detection.
- Edge Agent DeploymentPush compressed models (SLMs) to constraint-heavy edge servers.
- Real-Time ProcessingSub-millisecond inference latency for critical infrastructure monitoring.
Predictive Maintenance & Linking
When a sensor fires an alarm, an agent immediately contextualizes it against your ERP data. Is the machine under warranty? Who is the assigned technician? Does a replacement part need to be ordered?
Anticipate equipment failures before they occur and autonomously dispatch repair workflows by contextualizing raw sensor data with enterprise systems dynamically—no human intervention required.
- Autodispacth IntegrationAgents automatically create, populate, and dispatch ServiceNow or Maximo work orders.
- Anomaly DetectionIdentify microscopic hardware variance before it cascades into a critical systemic failure.
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