Operations don't stop when unexpected situations arise

Agents bring intelligence to physical operations—understanding each device in its unique context, providing 24/7 support from the moment development starts through years of operational life.

Our agents are designed to run locally on consumer-grade hardware. Recent advances in open source models and neural processing units enable expert AI agents directly on site—even without internet connection.

What They Do

Our AI agents understand each device—its capabilities, its current state, its operational history, and its unique context. They are experts trained on each device's operational digital twin, giving them an understanding rooted in how the device is actually designed to operate.

The agents provide support throughout the device's entire lifecycle:

Development - Engineers ask questions while building, testing, and integrating—even before hardware deployment
Operation - Operators get real-time assistance diagnosing issues and handling exceptions, 24/7
Maintenance - Technicians access contextual summaries of issues, semantically similar incidents, and resolution history

We plan to introduce three distinct agents that specialize in different capabilities —

Scanner Agent - Identifies anomalies and errors (with business context)
Operation Agent - Recommends actions for operational exceptions and edge cases
Support Agent - Generic support agent that helps users primarily through chat interface.

Scanner Agent is planned to debut first, in our first public beta in January, 2026.

Safety Note Operators stay in control. Agents provide analysis and recommendations — never autonomous actions or workflow changes.

What This Gives You

Agents transform how operations handle uncertainty—from first-time edge cases to recurring exceptions—by providing continuous intelligence throughout the device lifecycle.

Robust Autonomous Operation

Operations don't stop when unexpected situations arise. Operation Agent handles edge cases—even when they occur for the first time—by understanding each device's designed capabilities.

When environmental conditions fall outside normal parameters or equipment combinations require human judgment, the agent analyzes what each device can do and presents viable options with reasoning. Operators can make informed decisions fast, keeping operations running without waiting for specialized troubleshooting expertise.

Complete Diagnostic Context

When workflows fail or equipment behaves unexpectedly, Scanner Agent provides complete diagnostic context—device state before the issue, recent workflow executions, state changes that preceded the failure, and causal relationships between events.

Maintenance teams and technicians start with structured analysis and specific hypotheses to verify, not hours reconstructing events from scattered logs across different systems and vendors.

Continuous Operational Intelligence

Agents build understanding over time—learning from every workflow execution, state change, and operator decision. This creates compounding intelligence throughout the device lifecycle.

Because agents query structured operational history with causal relationships preserved, they reason from operational facts rather than incomplete logs or sampled metrics. Intelligence improves as operational history grows, from initial deployment through years of operation.