Whether you want to do some exploratory data science work to investigate a business case or deploy custom intelligent apps into production environments, Mosaic is ready to help. We strive for excellent project outcomes, iterating with our customers throughout the ML & AI life-cycle.
Mosaic is comfortable managing and executing projects, supporting an existing project team, serving as an outside advisor, or filling any other role that meets your project’s needs.
Mosaic leveraged its award-winning Neural Search Engine to enhance the FAA’s EIM project, developing state-of-the-art LLM-powered chatbot apps to process multiple data sources and provide GenAI-generated answers.
Mosaic Data Science, a trailblazer in data science consulting, has been recognized as the Top AI & Machine Learning Company by CIO Review for the second consecutive year. This prestigious accolade underscores Mosaic’s commitment to delivering transformative, actionable analytics solutions that empower enterprises to harness the full potential of AI, ML, and mathematical optimization for insightful decision-making.
In this case study, Mosaic fine-tuned language models to analyze text and quantify public sentiment to explain commodity pricing with AI. Our team used sentiment model outputs to extract insights regarding price trends for a specific commodity and predict future price movements.
Mosaic Data Science has been recognized as the Top Insight Engines Solutions Provider of 2024 by CIO Review magazine for its Neural Search Engine framework. The Neural Search Engine has revolutionized how businesses comb through vast amounts of data, automating text, image, video, and audio information retrieval from all corporate documents and significantly enhancing efficiency and productivity.
A hospitality technology disruptor was developing a new sensor suite to detect when a guest was smoking inside a property and distinguish it from approved activities such as cooking. They engaged Mosaic to build time series classification models to identify and alert on smoking events from the streaming sensor data.
Using AI to analyze sensor data, Mosaic helped a renewable energy producer optimize furnace temperature to improve wood pellet production efficiency by reducing slag production and pressure buildup and providing control room operators with easy-to-use recommendations for setting furnace controls.
Mosaic developed Explainable AI in Lunar Operations to support lunar rovers using imagery data from hardware to assist NASA rovers in assessing the traversability of a given region of terrain, supporting increasingly autonomous operations.
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. We leverage the retriever/reader architecture where for a given question, related context is obtained from the enterprise-specific knowledge base and fed to deep learning models.
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.
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.