SUCCESS STORIES

Optimizing Critical Processes with Lythium

Automation and Traceability in the Aquaculture Industry

We work with more than 80% of Chile’s salmon processing plants, building long-term relationships based on innovation, ongoing support, and measurable results.

Our technology, which is used in processing plants, hatcheries, and smolt transfer centers, enables the automation of processes, improves product quality, and optimizes traceability.

SUCCESS STORIES

Strategic partnerships with leaders in aquaculture

Our solutions are integrated into the operations of Chile’s leading salmon producers. We work closely with them from design through implementation, building systems that evolve alongside production processes and adapt to the specific needs of each facility.

Q-Sort Q-Scan Integration
SUCCESS STORIES

Support and ongoing development

More than just an installation, we offer a long-term partnership. Our engineers continuously monitor, update, and improve each system. The models are retrained using real plant data, and our team is always available to ensure the solution performs at its best.

24/7 Support Updates Long-Term
SUCCESS STORIES

Presence in processing plants and cultivation centers

From processing plants to fish farms, Lythium is actively involved throughout the entire salmon production chain. Our systems generate structured data at every stage, enabling full traceability and informed decision-making from smolt to finished product.

Smolt Tracker IML Traceability

We provide fast, high-quality service that builds long-term relationships

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FAQs

Solutions can be implemented at different stages of the process, depending on the type of decision you want to automate.

At the primary processing plant, they are used to sort whole salmon based on quality or yield (for example, determining whether they will be processed into fillets or sold whole).

At the secondary processing plant, they are used to evaluate and grade fillets based on defects, color, or quality criteria defined by the operation.

They can also be implemented at fish farms, in processes such as counting smolts during transfer.

The installation is carried out directly on the production line, without disrupting production.

The implementation time depends on the complexity of the line and the level of integration required.

In general, the process involves:

● Physical installation of the system
● Integration with existing equipment or software
● Configuration of operating parameters
● Validation under real-world conditions

Once installed, the system can begin operating shortly thereafter, while it is fine-tuned based on the plant’s actual performance.

The impact is primarily felt in terms of process consistency and control.

By working with real-time, per-item data, you can:

● Reduce variability in sorting
● Detect operational deviations early
● Adjust process parameters with greater precision
● Improve product allocation based on quality or performance

This allows for more stable operations and greater control over production outcomes

Yes. The systems are designed to be configured according to the specific conditions of each operation, including product type, sorting criteria, and line capacity.

The parameters are adjusted based on the plant's objectives, allowing them to be adapted to different processes, product formats, and production scales.

Return on investment is measured based on operational improvements that have a direct impact on production output.

Some of the indicators used are:

● Consistent quality grading
● Reduction in rework or reclassification
● More efficient use of raw materials
● Greater process control and traceability

The analysis is conducted by comparing performance before and after implementation, using data generated by the system.