Science has an unprecedented opportunity to explore astronomical and astrophysical phenomena through the complementary capabilities of multiple groundbreaking survey facilities. These include the Legacy Survey of Space and Time (LSST) at the Vera C. Reuben observatory, neutrino detectors like IceCube, and the gravitational wave detecting network formed by the Laser Interferometer Gravitational-Wave Observatory (LIGO) and related instruments in Europe and Japan. Modern surveys now provide a wealth of real-time discoveries from electromagnetic, gravitational wave and neutrino detectors, disseminated via high-throughput streaming services. These petabyte-scale survey data products are useful only if downstream researchers can characterize the discoveries. To enable the scientific community to realize the full scientific potential of these surveys, the project team has produced the Target and Observation Manager (TOM) Toolkit, which is web-based cyberinfrastructure that enables communities of scientists to analyze data from multiple sources. The toolkit further enables scientists to coordinate follow-up observations that are necessary to fully characterize the discoveries. Building on prior work, this project improves the usability and capabilities of the TOM Toolkit by upgrading it to support the increased scale needed to handle interactions with LSST data sources; by improving toolkit data analysis pipelines using modern machine learning methods; and by streamlining deploym