Build with iNAGO
From pilot to production deployment, guided by iNAGO experts.
netpeople Platform
Deploy and operate AI agents in real-world systems.
netpeople Starter
Turn documentation into deployable AI agents.
netpeople Agent Evaluator
Objective performance measurement across any AI system.
Build. Measure. Improve.
Products
Manufacturing
AI Agents for Real Manufacturing Systems
netpeople AI agents operate across equipment, production workflows, and factory systems — delivering reliable, measurable assistance in real manufacturing environments.
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Built for industrial deployment, with machine data integration and on-device operation.
What This Enables
AI agents that understand machines, operators, and real-world conditions — enabling intelligent interaction, guidance, and operational support across manufacturing environments.
Operator Interaction
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Natural interaction across voice and text
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Fast access to machine and process information
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Reduced friction across operational workflows
Context-Aware Guidance
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Guidance informed by machine and process conditions
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Step-by-step support for tasks and procedures
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Proactive recommendations when relevant
Troubleshooting and Diagnostics
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Structured workflows for operational issues
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Diagnosis using machine data and system signals
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Supports complex troubleshooting scenarios
Operation Across Manufacturing Systems
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Operates across machines, MES, and enterprise systems
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Integrates with operational data and workflows
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Supports both operators and engineers
AI Agents for Manufacturing Systems
AI agents designed for manufacturing environments — combining structured knowledge, machine data, and operational workflows.
Troubleshooting and Maintenance
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Structured workflows for machine and system issues
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Diagnosis using machine data and system signals
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Supports complex maintenance scenarios
Operator Assistance
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Access to manuals, procedures, and system information
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Natural voice and text interaction
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Faster execution of operational tasks
Machine Data Integration
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Direct integration with machine and system signals
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Responses informed by live operational conditions
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Enables proactive guidance and diagnostics
Knowledge and Documentation
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Structured manuals, procedures, and technical content
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Consistent and explainable responses
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Controlled updates for domain-specific knowledge
Technician:
"Why did this machine stop?"
AI Assistant:
"Pressure dropped below threshold. Suggested inspection step 2."
Status indicators
System state
Pressure
Temperature
Signal alerts
Applied Across Manufacturing Systems
netpeople AI agents operate across machines, production systems, and industrial platforms — supporting real-world manufacturing operations.
Equipment and Machine Systems
AI assistance integrated with industrial equipment
Technical Documentation
Structured manuals and operational knowledge
Troubleshooting and Maintenance
AI-guided diagnostics and maintenance workflows
Industrial Platforms and Integration
AI operating across MES and enterprise systems
Why netpeople for Manufacturing
Designed for real manufacturing systems — with machine data integration, controllable AI behavior, and reliable operation built in.
Controlled AI Behavior
Structured knowledge models enable consistent, explainable, and controllable AI behavior.
Machine Data Integration
Direct integration with machine signals and operational data enables intelligent system interaction.
Cloud and On-Device Runtime
Runs across cloud and on-device environments for reliable industrial operation.
Integration with Manufacturing Systems
Operates across machines, MES, and enterprise workflows within existing environments.
Continuous Measurement and Improvement
Built-in evaluation supports ongoing analysis, refinement, and system optimization.
Coordinated AI Agents
AI agents working together across systems and services
Cross-System Integration
Connects machines, platforms, and industrial systems
Open and Extensible Architecture
Designed to integrate with evolving partner technologies
Simulation and System Validation
Test and evaluate system interactions before deployment
MUTUALISM enables AI agents to operate across systems and services — creating a unified intelligent ecosystem.
Coordinated AI Agents
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Multiple AI agents operating across systems and services
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Collaboration without requiring a centralized system
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Supports complex mobility environments
Cross-System Integration
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Connects vehicles, platforms, and external services
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Enables interaction across independently developed systems
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Supports consumer and commercial mobility
Open and Extensible Architecture
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Built to integrate with partner technologies and platforms
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Supports evolving mobility ecosystems
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Enables flexible deployment and expansion
Simulation and System Validation
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Test interactions across systems before deployment
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Evaluate behavior in multi-agent environments
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Reduce risk in real-world integration
MUTUALISM Ecosystem
A collaborative ecosystem where AI agents, systems, and services work together — enabling intelligent environments across industrial systems.
Ready to Deploy AI Agents in Manufacturing Systems
Deploy AI agents in real manufacturing systems — faster, with control, and measurable performance.
Faster Deployment
Reduce time from pilot to production
Lower Integration Risk
Proven integration across manufacturing systems
Measurable and Controllable AI
Built-in evaluation and performance visibility
Flexible Deployment at Scale
Cloud and on-device support across facilities
Start with early access or Evaluator to test and improve your AI agents — or work with iNAGO to design and
deploy AI systems across real manufacturing environments.
Built for Real Manufacturing Environments
Manufacturing systems operate under constraints that generic AI cannot handle.
Machine-Driven Environments
Live equipment data, system states, and process signals must be understood in real time.
On-Site & Offline Operation
Factories often require on-device AI that operates without cloud dependency.
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Integrated Systems
AI must work across machines, MES, enterprise systems, and existing workflows.
Operational Reliability
Safety, compliance, and accuracy are critical — errors directly impact production.
The netpeople Platform for Manufacturing AI
netpeople enables AI Agents to operate inside real manufacturing environments — not as isolated assistants, but as connected, measurable systems integrated with machines, data, and workflows.
Operate Where Manufacturing Happens
Cloud and On-Device AI Runtime
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Deploy in cloud or directly on machines and edge devices
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Operate without continuous internet connectivity
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Respond to real-time equipment signals and events
Integrated Across Systems and Workflows
From Machine Signals to Enterprise Systems
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Connect to equipment, MES, and enterprise systems
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Understand structured operational data and context
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Support workflows, not just answer questions
Measured and Continuously Improved
Operational Performance You Can Trust
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Evaluate performance using netpeople Agent Evaluator
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Define domain-specific success criteria
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Continuously refine behavior through structured feedback
Built on domain-specific understanding for manufacturing environments — enabling higher accuracy in real operational use.
Architecture for Intelligent Manufacturing Systems
netpeople AI Agents connect machines, systems, and users — enabling intelligent operation across real manufacturing environments.
The netpeople Agent Platform connects AI Agents directly to manufacturing environments — integrating machine data, enterprise systems, and operational workflows.
Agents run in both cloud and on-device environments, enabling deployment in factories with strict connectivity, safety, and performance requirements.
Through integrated evaluation and structured feedback, agent behavior is continuously measured and improved over time.
Operational AI in Manufacturing
netpeople AI Agents operate directly within production environments — supporting real workflows, systems, and decisions.
Real-Time Equipment Troubleshooting
Operators receive immediate, context-aware guidance based on machine state, documentation, and prior issues.
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Integration with machine signals and system state
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Structured knowledge from manuals and procedures
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On-device runtime for real-time response
Responds to real conditions — not just user questions.
Guided Maintenance and Operational Workflows
AI Agents guide technicians through procedures, inspections, and recovery steps — ensuring consistency and reducing error.
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Structured procedural knowledge
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Workflow-aware interaction
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Integration with operational systems
Delivers interactive guidance within real workflows.
Integrated Operational Intelligence
AI Agents connect machine data, MES, and enterprise systems to provide unified insight and trigger actions.
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Integration across MES, ERP, and APIs
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Contextual understanding across systems
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Agent-driven task coordination
Moves from answering questions to enabling action.
MUTUALISM: Connecting Industrial Systems
Manufacturing systems span machines, software, and services from multiple vendors. MUTUALISM enables them to operate as a unified system.
Led by iNAGO, MUTUALISM is an open ecosystem model built on shared data and interoperable architecture — allowing technologies and intelligent agents to work together.
The netpeople Agent Platform provides the AI layer within this ecosystem, enabling coordinated interaction, integration, and continuous improvement across connected manufacturing environments.
Why netpeople for Manufacturing
AI in manufacturing must operate inside real systems — not around them.
Built for Real Environments
netpeople AI Agents run directly within machines, devices, and on-device environments where cloud access is limited or unavailable.
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System and API integration
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Cross-system coordination
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Multi-agent architecture
→ Runs where operations happen
Integrated, Not Isolated
netpeople AI Agents connect across machines, systems, and services — not as standalone tools.
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System and API integration
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Cross-system coordination
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Multi-agent architecture
→ Enables connected intelligence
Measurable and Controllable
netpeople AI Agents are evaluated and improved through structured performance measurement.
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Objective evaluation
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Continuous improvement
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Transparent performance
→ Delivers AI you can trust
