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We are creative, ambitious and ready for challenges! Hire Us
We are creative, ambitious and ready for challenges! Hire Us
Lumachain continuously monitors production environments using computer vision AI, helping plant teams identify operational variation as it occurs and respond before losses accumulate.
In high-throughput production environments, small variations can quickly compound into significant yield loss, quality issues, or production disruption if they are not identified early.
Rather than relying on periodic checks or after-the-fact analysis, the platform automatically detects defined events that affect yield, throughput, quality, and safety.

For example, Lumachain detects foreign objects entering grinders, identifies yield losses on beef bone belts and monitors performance variation on automated poultry deboning machines — allowing plant teams to intervene before losses accumulate across production.
In many production environments, performance issues are identified through:
• Manual observation
• Periodic data review
• End-of-shift production analysis
These approaches often detect problems only after losses have already occurred.
Lumachain replaces periodic checks with continuous monitoring, allowing plant teams to see operational variation as it happens and intervene earlier.
Continuous Factory Intelligence monitors key operational indicators across production environments, including:
In protein processing environments, examples include monitoring automated poultry deboning performance and identifying yield loss on beef bone belts.
When defined events are detected, our platform automatically escalates alerts to plant teams.
Where appropriate, our platform can generate signals to integrate with existing control systems, enabling defined responses within plant workflows.
This allows plants to move from after-the-fact problem detection to real-time operational intervention.
Lumachain operates as a computer vision AI platform designed for complex, high-throughput production environments.
The system: