Platform
An intelligence layer for industrial work.
Platform
One intelligence layer for engineering and industrial operations.
Industrial information is fragmented across drawings, documents, machines, sensors and operational systems.
We are building an AI layer that helps connect these sources and turn them into engineering context that people and AI agents can use.
Engineering data
- 2D Drawings
- Technical Documents
- CAD Metadata
Industrial AI Platform
- Context EngineL1
- AI ReasoningL2
- Engineering AgentsL3
- Tools & Industrial SystemsL4
Machine data
- Vibration
- Temperature
- Current
- Speed
- Operational Signals
Agentic Workflows
Specialist agents, one orchestrated workflow.
Industrial questions cross disciplines. Our architecture routes each step to a specialist agent with its own tools and scoped context, while an orchestrator plans the workflow, checks the results and asks a person to approve anything that changes a system.
Orchestrator
Plan · route · verify · request approval
Drawing Agent
Reads drawings and specifications
- drawing.parse
- spec.extract
- docs.search
Signal Agent
Interprets extracted sensor features
- signal_features
- sensor_history
- baseline.compare
Maintenance Agent
Prepares inspections and work orders
- maintenance.records
- task.draft
- checklist.build
Knowledge Agent
Grounds answers in manuals and history
- rag.retrieve
- cite.sources
- memory.scope
Shared: grounding, scoped memory, evaluation traces, permission-aware tool access.
Architecture in developmentUse cases
Built for engineering-intensive operations.
Engineering digitization
Transform legacy drawings and engineering documentation into structured digital knowledge.
Equipment intelligence
Understand machine behavior using sensor signals and operating context.
Maintenance assistance
Help maintenance teams investigate anomalies and prepare inspection workflows.
Industrial knowledge
Give engineers grounded access to manuals, drawings, specifications and machine history.
Safety & human control
AI assistance with engineers in control.
Grounded outputs
Connect AI responses to engineering sources.
Human approval
Require approval before important actions are executed.
Traceable reasoning
Record retrieval, tool calls and workflow execution.
Permission-aware access
Only provide agents with authorized context and tools.
The platform is designed as engineering decision support. AI-generated analysis should be reviewed by qualified personnel before safety-critical decisions are made.
Working on engineering data or machine monitoring?