Algaldo SL emerges as an innovative company in the green biotechnology sector, dedicated to the sustainable exploitation of microalgae for the development of products ranging from food supplements to cosmetics.
Headquartered in Madrid, Spain, our mission is to lead the transition towards a more sustainable future, offering alternatives that not only benefit the health of consumers but also promote a positive environmental impact.
Founded in 2023 by Aldo Brunetti, a biologist and specialist in food technology with a specialty in analytical chemistry, between the Autonomous University of Madrid and Uned with more than a decade of experience in the study of microalgae and their bioactive compounds.
Algaldo SL has grown rapidly thanks to its commitment to innovation and sustainability. Our management team combines scientific expertise with business experience, placing Algaldo at the forefront of the sector.
A few months ago, Algaldo products were recommended to me because I had a lot of pain in my knees. After three months of taking 10 grams of collagen a day, I have noticed a lot of improvement. Collagen is helping me reduce the pain in my joints. I have also started taking spirulina daily and I feel that I have more energy during the day. It is helping me to maintain my focus and energy at work. Overall, I am very happy with Algaldo products.
I have been buying spirulina and collagen for several months now and I can say that I am very happy with it so far. The collagen is helping me to recover before exercising and, considering that I am already over thirty, I can say that I have no pain in my joints. As for the spirulina, I have to say that it gives me a lot of energy to start the day with strength. So far I can only say that finding Algaldo products has been a total success.
Our commitment to excellence is reflected in every stage of the process, from production to storage. Our food supplements are stored in facilities with the highest standards of safety and hygiene, ensuring that they reach the final consumer in optimal conditions.
