We transform waste into resources through innovative processes, driving the circular economy and reducing environmental impact. We offer efficient solutions for the automatic sorting of recyclable materials such as plastics, metals, or glass, using machine vision systems. This technology allows for the automatic identification and classification of recyclable materials, improving recycling quality and optimizing processes.
One of our standout projects is PICVISA, where we design and manufacture optical sorting equipment for automated waste recycling. This equipment, based on machine vision and artificial intelligence technology, enables precise and efficient classification of materials such as plastics, paper, and metals, improving the speed and quality of the separation process.
At CALAF Trenching, respect for the environment is part of our DNA. We are committed to a more sustainable and efficient way of working, and we are the only company in the sector capable of reusing excavated material to backfill the trench. In this way, we reduce waste generation and material transport, positioning ourselves as leaders in circularity and offering the most sustainable solution for trenching.
2M
Tons of waste processed / year
121B
CO2 saved / year
8B
Liters of water saved / year
40
Years in the sector
Expert companies in recycling and circularity
PICVISA is a technology company that creates advanced solutions for material classification using AI, machine vision, and robotics, with the goal of improving recycling efficiency and reducing environmental impact.
At REGULATOR-CETRISA, we develop metal separation and recovery technologies for the recycling industry, focusing on innovation and industrial efficiency.
DAGA designs efficient water treatment equipment, with more than 2,500 global installations, committed to sustainability and water quality.
With more than 40 years of experience, CALAF Trenching offers comprehensive and efficient solutions in trenching and earthworks, adapted to each project and reinforced with our own machinery.





