Machine Learning

Riffyn solves the data fragmentation problem and helping to make data more effective. Data scientist spend about 80% of their time cleaning up data and not discovering pattern. Data Scientist spend alot of time analyzing spreadsheet trying to identify what the features mean. The cost of research and development is staggering. We don't know alot of about biology and chemistry and getting more data will improve understanding. Riffyn finds unexpected relationships in the data. Riffyn uncovers defects in data discovery. It takes about 10 years for a chemist to become proficient in chemistry. Machine learning can speed up the learning and proficiency. Noise in the data causes missed opportunities. Riffyn operates in recipe driven environments. For a process, Riffy creates data collection steps and joins the data between the steps. The data is annotated and tagged for each step. The user can then download the collected data into a csv file. Fit to least squares is used to determine maximum yield. https://lnkd.in/g