We are a chemical engineering science consulting company that focuses on providing our clients custom solutions for their industry issues, especially to mining industries . We help our clients to solve everyday problems in order to improve their production processes with our experience and innovation strategies
Rheometric analysis, compressive strength test of soils, loop test viscosity for hydraulic assays,
lab-scale section of an evaporation pool are some of the different type of analysis that are usually performed in our lab.
Data modeling and machine learning techniques have converted in valuable tools to industry
R&D conviction has been the focus by which clients externalize their own efforts with us
Check & Collect Data
Research and testing
Our Report
We have helped to optimize chemical processes in order to reduce the losses of different compounds, increasing yields during brine harvest, specially in those processes involving Lithium and Potassium.
We have carried out several studies related with the optimization of the construction and maintenance of solar ponds to improve brine harvest to avoid damage to the bottom of the solar ponds and also to protect the slopes and the ends of the evaporation ponds from the erosion.
This area has become a real R&D challenge, since we have to find explanations to phenomenons that have occurred in productive production plants of potassium and lithium minerals.
Machine learning and deep learning algorithms have been utilized to generate models for image recognition. Specifically the automatic detection of undesired events by using aerial photometry. These mathematical algorithms can be used in a broad range of chemical or process challenges, wherein we are faced to train a mathematical model and then validate it with lab conditions and then scale it to real conditions.
We have utilized flux balance analysis (FBA), component analyses and kinetics modeling to simulate chemical processes under a variety of different conditions, looking for the reduction of the electricity dependency in a process plant, the maximization of the lithium recovery in each separation pool, and the recovery of clean water of the whole lithium extraction process.
Rheometric analysis, compressive strength test of soils, loop test viscosity for hydraulic assays, lab-scale section of an evaporation pool are some of the different type of analysis that are usually performed in our lab.
Sciro Labs LLC was founded with two PhD who were trained in material and data science at Universidad de Chile and subsequently in Pontifical Catholic University of Chile. Both have focused their careers on participating in the formation of various ventures related to science and technology.
With their experience in research and several chemical business, they provide with Sciro Labs LLC special attention to each client to bring custom solutions to the real iceberg inside their problem processes.
Lorena holds a bachelor’s degree in Chemistry from University of Chile and a PhD in Chemistry from Pontifical Catholic University of Chile join to the University of the Basque Country, Spain (year 2011).
She co-founded several ventures related with cosmetics and pesticide detection. Both companies had to be closed due to different faced obstacles. She also work as patent examiner at the National Institute for the Intellectual Property (INAPI).
In 2014, she co-founded Sciro Labs (formerly known as Riesco Lab) where the chemical consulting was the focus.
Since then, Lorena converted Riesco Lab from a theoretical consulting company into a R&D lab testing company while maintaining a 3-children household.
Felipe holds a bachelor’s degree in Biotech Engineering from University of Chile (first of his class). He also holds a Master Sc. Eng. and a Ph.D. in Chemical and Bioprocess Engineering from Pontifical Catholic University of Chile join to Massachusetts Institute of Technology (MIT), USA, through a Fulbright scholarship (year 2011).
Felipe is an entrepreneur and technologist who co-founded several ventures related with chemistry, technology and data science.
In 2014, he co-founded Sciro Labs (formerly known as Riesco Lab) blending chemistry and data analyses. Today, Felipe is taking the lead for new chemical challenges driven by machine learning and data modeling techniques.