--- title: juna.ai Reviews meta\_title: 'juna.ai Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter reviews by the users' company size, role or industry to find out how juna.ai works for a business like yours. date\_modified: '2026-06-29' parent\_category: name: Manufacturing url: https://www.g2.com/categories/manufacturing ---

# juna.ai Reviews & Product Details

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What is Juna? Juna is an Agentic Factory OS for process manufacturers. It connects the plant's data silos, builds a semantic model of the factory, and gives engineering teams specialized AI agents for process optimization, energy management, quality control and maintenance, so teams raise output and margins while lowering energy use. Who is Juna for? Juna is built for process, energy, quality and reliability engineers, plant managers and shift leads across a wide range of manufacturing industries, including cement, specialty chemicals, paper, carbon black, glass, and food and beverage. If your team is optimizing by gut feel, running root-cause analysis by hand, and losing engineering hours to manual reporting, that is the problem Juna solves. What does Juna do? Juna unifies your factory's data, decodes it into operational context, and optimises every process on top of it, starting with a single process and scaling to the whole factory. The foundation connects your IT and OT systems with minimal setup and models your plant into one queryable structure, with your documents and SOPs as a connected knowledge layer. On top of it, agents work continuously, 24/7: 1. Detect. Agents analyse live data and flag deviations from best operating conditions the moment they start. 2. Analyse. They run root-cause investigations across raw materials, process conditions and recent operator actions. 3. Propose. Juna recommends concrete actions and setpoint changes, with the reasoning shown. 4. Implement. Engineers apply the change; any write-back into operational systems happens only after their approval. 5. Measure. Juna generates the reports and dashboards that make the impact visible to the team and to management. Then it starts over, and gains compound instead of fading after a one-off project. Key Features 1. Data Hub: native connectors to MES, ERP, LIMS, CMMS, historians and process control (AVEVA PI, SAP, Databricks, Azure), with ISA-95 normalisation and automated data-quality checks. 2. Factory Graph: a semantic model of the whole site that agents reason over, from cross-asset root-cause analysis to broader understanding of how the process behaves. 3. Knowledge Base: ingests P&IDs, SOPs, spreadsheets and images into a linked plant wiki that preserves expert knowledge as the workforce turns over. 4. Factory Chat: natural-language analysis across millions of sensor values, batch comparisons and out-of-spec investigations, with cited sources. 5. Agent Layer: build and edit your own multi-agent workflows, run on schedules or sensor triggers. 6. Human-in-the-loop: every agent action is logged, traceable and auditable. Results of juna.ai customers Juna delivers first value within two to four weeks of data access. Measured over time, customers report up to 10% lower energy use, 2 to 3% higher throughput, 10 to 15% fewer quality defects, and around 30% more engineering capacity.

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Overview by
 Lasse Alsmeyer

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