Is committed to the discovery, development and delivery of innovative software solutions for the chemical, biotech and pharmaceutical industries and research organizations.
To fulfil this commitment, Mestrelab counts with an exceptional staff holding most of them a higher degree (Master & PhD). We have plenty of chemists in our offices, but also IT engineers, mathematicians, physicists and many more. You can get to know them in Our Team page.
Whilst most of the R&D is carried out in-house, we are privileged to have collaborations with several companies and Universities. Our history started in the Chemistry Department at the University of Santiago de Compostela, USC, while our President, Dr. Carlos Cobas, was doing his thesis under the supervision of Prof. Javier Sardina, also a founding member of Mestrelab. Since then, Mestrelab has kept working with the USC in many R&D projects.
Mestrelab makes significant investments in R&D projects and many of our employees are certified as full-time researchers. We have also received funding from the following institutions:
Mestrelab is a beneficiary of the Investigo 2025 Programme of the Xunta de Galicia.
Mestrelab participates in the call for the development of technology for the improvement of economic and industrial activity and for the commercialization of new products and services based on Artificial Intelligence.
Mestrelab is a beneficiary of the call for Technological Products and Services for Data Spaces.
Mestrelab has participated in the FOEXGA GRANDES EMPRESAS 2024 actions grant. Program financed by Igape-Xunta de Galicia.
Mestrelab has been awarded by the Spanish Government with the Torres Quevedo grant.
Mestrelab has been a beneficiary of the call for the creation of a new business research center in the Galician R&D&I ecosystem.
Mestrelab has been awarded by the Spanish Government with the Torres Quevedo grant.
Global environment with chemical, biotech and pharma data to accelerate drug development using Big Data, Artificial Intelligence and cloud computing.
Mestrelab takes part in the Talento Senior Program, co-funded by Xunta de Galicia (Resolution from Axencia Galega de Innovación, 25th March 2022), to hire highly qualified staff for R&D activities.
Mestrelab has been awarded by the Spanish Government with the Torres Quevedo grant.
IoT system for automatic detection of pathogens in water through artificial intelligence, biotechnology and nano SERS technology integration.
Mestrelab has been awarded the Programa Principia 2021 to hire a technologist to carry out R&D activities.
Forensic analysis using desktop NMR instruments, artificial intelligence, and cloud computing.
Development of new diagnostic and therapeutic solutions using digital, molecular and biochemical technologies against the SARS-CoV-2 pandemic.
New chemical analysis technique based on low-field nuclear magnetic resonance (NMR) to facilitate the incorporation of recycled or recovered materials into the value chain of circular industry 4.0.
Mestrelab takes part in the Talento Senior Program (Programa Talento Sénior 2020), co-funded by Xunta de Galicia (Resolution from Axencia Galega de Innovación, 31st December 2019), to hire highly qualified staff for R&D activities.
A novel integrated platform for the automated quantitation of chemical substances by Nuclear Magnetic Resonance Spectroscopy
Mestrelab takes part in the Talento Senior Program, co-funded by Xunta de Galicia (Resolution from Axencia Galega de Innovación, 29th May 2019), to hire highly qualified staff for R&D activities.
Image processing algorithms, automatic learning & infrared analysis to validate sustainability claims in fashion
Viability study & business plan for an NMR system for analysis and confirmation of components for fraud detection in consumer products
Mestrelab has been awarded by the Spanish Government with the Torres Quevedo grant.
Advanced calculation of physicochemical properties of molecules for the pharmaceutical sector.
Advanced virtual chromatography and integrated management of analytical and molecular data.
Development of biosensors based on nanochemistry, molecular recognition and bio-functionalization.
Development of an integral system for the management of molecular and analytical intelligent systems in the context of automatic structure confirmation.