Sustainability Statement

Our company’s foundation is built on our values, which distinguish us and guide our actions. We conduct our business in a socially responsible and ethical manner. Mosaic is committed to protecting the environment, health, and safety of our employees, customers, and global communities where we operate.

Carbon Emissions Offset Program

Every year Mosaic personnel travel extensively to support our customers and partners. With our deep roots in the aviation industry and our concerns for sustainability and protecting the environment, Mosaic is donating to One Tree Planted.

Our donation will allow enough trees to be planted to offset ten times the number of commercial flights Mosaic personnel take each year! We love the work we do for our government and commercial customers and want to ensure our business practices and livelihood are conscientious and sustainable.

Advanced Anomaly Detection Using Reinforcement Machine Learning

Mosaic applied our robust data analytics expertise across disciplines to develop novel, data-driven models that identify anomalous behavior for a leading aerospace government agency.

Reducing Jet Fuel Emissions with Operational Artificial Intelligence

Mosaic helped a commercial airline integrate custom machine learning to predict departure runway and taxi-out time, cut operational costs, and improve the customer experience, aiding in reducing fuel emissions with AI.

Predicting Arrival and Departure Assignments with Machine Learning

Mosaic brought its deep expertise in aviation to design and test effective machine learning models that would predict the arrival and departure assignments of flights, helping facilitate automated testing and deployment of advanced predictive decision-support tools.

Reducing Greenhouse Gas Emissions with Data Science

Mosaic developed an innovative optimization app for the green power sales function at a leading utility, helping them recommend suites of renewable energy products to meet corporate carbon footprint reduction goals within budgetary constraints.