Quality and industrial traceability

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Ensuring quality and traceability easily and effectively through new technologies

Industrial quality and traceability focuses on ensuring that products and services comply with established quality and safety requirements, through the design and implementation of quality management systems, audits, inspections and quality control tests. Focused on the traceability of processes and materials used in production, from the source of origin to the final product, to ensure transparency and accountability in the supply chain.

Technological lines

Applications and Firmware

Development of custom firmware with applied electronics and artificial intelligence

Blockchain and data security

Blockchain, Distributed ledgers, Data security, Online transactions, Product traceability, Agri-food industry, Cryptocurrencies, Peer to Peer, Cryptographic algorithms, Distributed system, Transparency, Efficiency, Elimination of intermediaries, Data integrity, Decentralization.

Certification and industrial safety

Testing and certification of industrial equipment for safe market access

Construction technologies

Structural use of wood and development of prefabricated solutions

Deep Learning and Artificial Intelligence

Combining AI and applied electronics for efficient machine learning

Food quality and safety

Assurance that food is safe and meets quality standards for human consumption

Food quality, safety and sustainability

Advanced rapid sensing applications for food quality and safety

Food value chain

Specialization in consulting and optimization of operations in the agri-food industry.

Forest-based foods

The forest environment as a natural and sustainable food source

Forestry and environmental management

Digital and sustainable use of forest stands and their resources.

Intelligent artificial perception systems

Intelligent artificial perception solutions tailored to each sector

Internet of things: smart connected devices

Internet of things (IoT), Smart devices, Connectivity, Smart spaces, Quality of life, Efficiency, Crop and livestock monitoring, Industrial risk prevention, Renewable energy, Medical diagnostics, Early detection of medical crises, Data analytics, Machine learning, Artificial intelligence, Informed decision-making