Dreamix

Dreamix was hired by Barton Malow, a national construction management firm, to develop a financial machine learning model. The project involved the acquisition of historical financial data, cleaning and exploring this data for the preparation and development of machine learning models. Dreamix's team of 2-5 employees utilized technologies such as Github, Databricks, Power BI, Claude, and ChatGPT to deliver a production-grade machine learning model for construction project financial forecasting. The project was a success and the client was satisfied with Dreamix's data science and data engineering expertise.

Icelandair, an aviation company, engaged Dreamix to rapidly scale up various digital efforts through team augmentation. Dreamix assigned 6-10 employees to this project. The team focused on the airline operations, providing expert-level integration and data engineering to augment internal teams. The project aimed to increase efficiency, integrate new solutions, decommission legacy systems and centralize data for analytical purposes. The client was pleased with Dreamix's performance, citing their high ratings, budget-friendly pricing, and great referrals as reasons for their satisfaction.

MSJ International, a wholesale distributor, hired Dreamix to automate their bidding process and double employee productivity. Dreamix's team of 2-5 employees set up a front-end cloud interface for the RFQ Management application and all back-end infrastructure. They implemented a semantic AI model and built all peripheral algorithmic logic for automatically matching items from MSJ's inventory system to customers' RFQs. The final deliverable was the full RFQ system, which the client's team is now using. The client was impressed with Dreamix's understanding of their needs and the well-thought-out solution they proposed.