Our team combines expertise in artificial intelligence, computer vision, and the aquaculture industry, developing applied solutions that address the real challenges of production.
From Chile, we are working to take aquaculture and the food industry to a new level of efficiency and traceability.
Our goal is to transform aquaculture through artificial intelligence, driving improvements in quality, efficiency, and health traceability.
Founded in 2018, Lythium is present in more than 80% of Chile’s salmon processing plants.
We provide fast, high-quality service that builds long-term relationships
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The systems use machine vision and image-based artificial intelligence to analyze each unit on the production line.
Images are captured using industrial cameras with controlled lighting, and processing is performed on local servers in real time. This makes it possible to detect characteristics such as defects, color, shape, or count without relying on manual intervention.
Yes. The systems are designed to integrate with existing plant software and equipment, such as production management systems (Innova, Fishtalk, among others) and sorting mechanisms.
Integration can be achieved through APIs, data files, or industrial signals, depending on the available infrastructure
No. Processing is performed locally on-site, so the systems can operate autonomously in real time.
The internet connection is used solely for remote support, updates, and data analysis on external platforms.
The support package includes technical assistance from the implementation phase through the system's operation.
This includes:
● Regular performance checks
● Scheduled preventive maintenance
● Remote and on-site support as needed
The focus is on ensuring operational continuity and the quality of the data generated.
The main benefit is moving from decisions based on subjective criteria to decisions based on objective data.
This enables:
● Standardizing product quality
● Automating critical operational processes
● Reducing operational variability
● Optimizing raw material usage
● Improving traceability and process control
The impact is reflected in more consistent, measurable, and controlled operations.
