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Solution pattern · Manufacturing & IoT

AI agents for manufacturing and IoT operations

Put an agent over real device and operational data, let specialists use domain tools, and preserve a human checkpoint before consequential changes.

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  • AI agents for manufacturing
  • AI agents for IoT
  • industrial AI agents
  • AIoT platform

Where it can help

AI agents for manufacturing: practical use cases

These are implementation patterns, not claims about unnamed customers. The exact scope depends on your systems, permissions, controls, and acceptance criteria.

Fleet understanding

Answer permission-scoped questions from current device and telemetry data.

Operational configuration

Draft rules, alarms, and escalation logic through domain-specific tools.

Confirmed execution

Pause before consequential actions, execute after approval, and read the result back.

Reference architecture

Secure AI agents: control at every boundary

SyntheticBrew handles reasoning and orchestration. Your application remains responsible for authentication, domain authorization, and the data or actions exposed through each tool.

  • Operations UI and authenticated user
  • SyntheticBrew supervisor and domain specialists
  • MCP tools with forwarded organization context
  • Device, rules, alarm, and analytics services

Production controls included

  • Per-agent tool and MCP server scoping.
  • Forwarded JWT, organization, user, and tenant context.
  • Confirmation gates before consequential actions.
  • Structured events for progress, errors, and completion.
  • Self-hosted or Cloud deployment with your choice of LLM.
Named production deployment

SyntheticBrew powers the AI layer in Kilo AIoT

Kilo uses SyntheticBrew as the agent runtime behind permission-scoped device questions, rule and alarm workflows, confirmation before consequential actions, and result verification after writes.

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Other solution patterns

More AI agent use cases

Solution Customer service Solution Ecommerce Solution Banking

Choose how you want to ship.

Evaluate the workflow in Cloud, run the open-source engine on your infrastructure, or book your personal sales call for a delivered implementation.

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