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They continuously observe the factory, evaluate tradeoffs, and act within defined objectives and constraints. Unlike dashboards or static optimization tools, agents operate continuously and adapt as reality changes.
No. Juna is built with human-in-the-loop by design.
AI agents recommend actions, update plans, and optimize decisions. But you always define objectives, constraints, and guardrails, and you decide what can be automated and what requires approval. Operators and managers keep the final say.
Juna connects directly to your existing landscape — ERP, MES, historians, PLCs, and sensors.
You don’t need to replace systems or clean all your data upfront. Juna builds a semantic layer on top of existing sources, validates data during integration, and works with the data you already have.
No.
Most factories don’t have perfect data, and Juna is built for that reality. The system combines live data, historical data, engineering knowledge, and learned behavior. You can start small and expand coverage as data quality improves.
Data security is a first-class concern.
Juna is ISO 27001 certified, fully GDPR-compliant, and runs isolated customer environments hosted in Germany. Data is never shared across customers, access is strictly controlled, and all integrations follow enterprise security standards
You’re not left alone.
Juna provides hands-on onboarding, technical support, and continuous collaboration. Our team supports integration, model validation, rollout, and ongoing optimization and stays involved as your use cases expand.
Most customers start with a focused Proof of Value.
We connect a limited set of systems, model a real production problem, and demonstrate measurable impact within weeks. From there, customers scale agents, plants, and use cases step by step.
Yes.
Each agent delivers value on its own. Many customers start with scheduling, process optimization, or energy use and expand later. The Agentic Factory OS ensures everything stays compatible as you scale.
No.
Juna operates on top of your existing equipment and automation. There’s no need to replace machines, PLCs, or control systems.
Initial results typically appear within weeks, not months.
A focused Proof of Value demonstrates impact quickly. From there, customers expand to additional lines, plants, or use cases at their own pace.
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Agentic Control: How a Leading Dairy Manufacturer Increased Profits by €1.5M per Year
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Agentic Scheduling: How a Carbon Black Producer Increased Contribution Margin by €5.3M per Year