Juna AI

What Juna AI does

Juna's AI platform orchestrates Agents that help plan, steer, and improve industrial processes to maximize output, sustainability, and profits. The Agentic Factory OS is an agentic operating system for industrial production, powered by autonomous AI agents that work alongside teams 24/7. Juna aims to make heavy industry radically more efficient, profitable, and sustainable by addressing challenges like knowledge at risk due to retiring operators, margins under pressure from rising costs, and the need for sustainability as an operational outcome. The platform connects to existing IT and OT systems, turns raw data into operational context using a Factory Graph, captures knowledge in a searchable system, and allows natural language interaction via Factory Chat. AI Agents analyze live data, detect anomalies, run root-cause investigations, generate reports, and recommend actions continuously with full traceability and human-in-the-loop control.

Products

• Agentic Factory OSAn agentic operating system for industrial production, powered by autonomous AI agents that plan, steer, and improve industrial processes to help manufacturers maximize output, sustainability, and profits.
• Factory FoundationUnifies the factory by connecting to existing IT and OT systems quickly and reliably to establish robust data pipelines using pre-built data connectors.
• Factory ChatA natural language interface to every layer of the platform, enabling deep analysis by drawing thorough, accurate answers from data, documents, and plant structure.
• Factory AgentsAI agents that go beyond dashboards, analyzing live data, detecting anomalies, running root-cause investigations, generating reports, and recommending actions continuously, 24/7, with full traceability and human-in-the-loop control.
• Factory GraphModels assets, processes, material flows, and sensors into one unified, queryable structure, turning raw data into operational context in hours.
• Knowledge GraphCaptures documents, manuals, SOPs, maintenance logs, and tribal knowledge into one searchable system connected to process data, providing context for AI agents.

Key capabilities

• Agentic Factory OS
• Seamless Integration with IT and OT systems
• Pre-built data connectors
• Factory Graph for operational context
• Knowledge Graph for capturing plant knowledge
• Factory Chat for natural language interaction
• AI Agents for continuous analysis and action
• Continuous monitoring and anomaly detection
• Root-cause investigations
• Report generation
• Action recommendations
• Full traceability and human-in-the-loop control
• Enterprise Security and compliance-ready design
• 250+ agent template library
• 100% coverage of key functions
• Live, connected model of energy and material flows
• Prediction of hard-to-measure parameters
• Copilot for operational excellence

Use cases

• Optimizing industrial processes
• Maximizing output, sustainability, and profits in factories
• Planning, steering, and improving industrial processes
• Keeping process parameters on target (Process Engineer agent)
• Checking SOP compliance and flagging deviations (Process Engineer agent)
• Reducing energy consumption, cost, and emissions (Energy Manager agent)
• Monitoring consumption, flagging inefficiencies, and acting on day-ahead price opportunities (Energy Manager agent)
• Catching quality drifts and running root cause analysis (Quality Engineer agent)
• Optimizing operations, troubleshooting issues, and making better decisions across engineering and management functions
• Improving utilization and campaign execution across reactors, distillation, and utilities (Chemicals)
• Stabilizing reactions, reducing variability, and protecting product quality (Chemicals)
• Optimizing raw materials and energy under real operating constraints (Chemicals)
• Running chemical reactors at peak performance (Chemicals)
• Optimizing raw material blends and costs (Chemicals)
• Predicting critical but unmeasured values (Chemicals)
• Optimizing sequencing, tank usage, and campaign lengths across lines and shifts (Food & Beverages)
• Stabilizing processes despite raw-material variability (Food & Beverages)
• Reducing energy across CIP, heating, cooling, and drying (Food & Beverages)
• Running machinery at peak performance (Food & Beverages)
• Estimating hard-to-measure or delayed lab values (Food & Beverages)
• Increasing OEE and output stability and coordinating kilns, mills, and silos dynamically (Cement)
• Stabilizing clinker quality and controlling free lime and clinker properties (Cement)
• Reducing energy and CO₂ intensity by shifting heavy work loads to cheap energy times (Cement)
• Running kiln and preheater at peak performance (Cement)
• Predicting critical values like raw-meal composition, calorific value of alternative fuels, free-lime, and C3S (Cement)
• Reducing sheet breaks and quality losses by detecting process instabilities early (Pulp & Paper)
• Achieving higher OTIF by optimizing grade sequencing and changeovers (Pulp & Paper)
• Lowering energy cost per ton by shifting power-intensive operations (Pulp & Paper)
• Running paper machines at peak performance (Pulp & Paper)
• Estimating critical quality parameters and unmeasured variables (Pulp & Paper)

AI approach

Juna AI develops an 'Agentic Factory OS' that uses AI agents to plan, steer, and improve industrial processes. These agents analyze live data, detect anomalies, run root-cause investigations, generate reports, and recommend actions. The platform integrates with existing IT and OT systems, builds a 'Factory Graph' to turn raw data into operational context, and uses a 'Knowledge Graph' to capture documents and tribal knowledge. Factory Chat provides a natural language interface for deep analysis. The company explicitly states it combines 'leading expertise in AI research, machine learning, engineering, and industrial processes'.

Tech named: AI agents, Agentic Factory OS, Factory Graph, Knowledge Graph, Factory Chat, machine learning, neural networks

Industries served

• Heavy Industries
• Chemicals
• Food & Beverages
• Cement
• Pulp & Paper
• Glass
• Pharma
• FMCG
• Industrial Manufacturing

What it says sets it apart

• Agentic Factory OS for proactive and autonomous operations
• Captures expertise from experienced operators to prevent knowledge loss
• Addresses margin pressures through continuous, compounding improvement
• Optimizes for both economic and ecological performance simultaneously
• Seamless integration with existing IT and OT systems with minimal disruption
• Turns raw data into operational context in hours, not months, with Factory Graph
• Unifies plant knowledge into a searchable system connected to process data
• Natural language interface for deep analysis and interaction with the factory
• AI agents provide continuous analysis, anomaly detection, root-cause investigation, and recommendations 24/7
• Proven in production across industries with a 250+ agent template library

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.