DeCypher DataLabs LLC

DeCypher DataLabs LLC was contracted by a software company to assist in a next-generation machine learning exploration effort. The company's COO found DeCypher DataLabs through LinkedIn, drawn to their expertise in machine learning. The project entailed sorting through large quantities of data, restructuring it, and developing machine learning models to best represent the data and make predictions. The CEO of DeCypher DataLabs worked directly on the project, the details of which remain confidential due to its sensitive nature.

In another project, DeCypher DataLabs LLC was hired by a medium-sized law firm to develop a predictive machine learning model. The law firm partners found DeCypher DataLabs via their online profile on UpWork. The firm provided the necessary data, and while they had an initial idea of the type of machine learning model they needed, DeCypher DataLabs was able to suggest and implement a perfect solution.

A SaaS company hired DeCypher DataLabs LLC to help create a proof-of-concept that would use machine learning to analyze vulnerability data from the National Institute of Standards and Technology (NIST) National Vulnerability Database (NVD) via API call. The security product manager chose DeCypher DataLabs based on their initial interview, during which the vendor offered great ideas to ensure the project's success. The project involved two phases over eight milestones, during which DeCypher DataLabs created the AWS infrastructure for the solution and performed extensive data engineering to make the API data work with the Forecasting ML model.