Mosaic Data Science has deployed Practical AI to bridge the gap between AI research and practical implementation by creating AI-driven tools, systems, and applications that address specific challenges and tasks. Our solutions are designed to enhance efficiency, automate processes, improve decision-making, and deliver measurable benefits to our customers.
Mosaic helped one of the US’s largest regional homebuilders deploy an artificial intelligence engine that recommends the optimal community features based on different geographic regions. The recommender delivers data-driven insights the company can trust when planning, building, and positioning new communities.
Mosaic helped a North American provider of international freight forwarding services build an NLP solution that automates the tariff classification process, saving valuable resources and reducing risk while improving the customer experience.
Mosaic dives into our latest solution framework, The Neural Search Engine. Our tool can be tuned to ingest any set of documents and return relevant information in seconds.
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.
Mosaic built a custom voice search solution using deep learning and state-of-the-art language models to intelligently parse complex mechanical operation manuals and return the desired search results
Mosaic worked with a vet tech company to develop an encompassing pet wellness score and early disease-identification models using an AI-driven collar device that collects pet behavioral information and reports health insights to the owner’s app using IoT and sensor data techniques.
Mosaic was contracted by multi-national manufacturer of construction and mining equipment to develop a proof-of-concept predictive maintenance model to predict equipment failure before it happens to minimize downtime and optimize maintenance schedules.
Mosaic used NLP algorithms to automatically extract various insights about people calling into a customer call center. We created a process to identify at-risk customers that called the previous day based on the transcript of the call.
Mosaic helped a leading hospital optimize the scheduling of elective surgery and created a better daily rhythm for surgeons.
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.