  Software traceability is the process of establishing and maintaining
relationships between artifacts in a software system. This process is crucial
to many engineering processes, particularly for safety critical projects;
however, it is labor-intensive and error-prone. Automated traceability has been
a long awaited tool for project managers of these systems, and due to the
semantic similarities between linked artifacts, NLP techniques, such as
transformer models, may be leveraged to accomplish this task. SAFA.ai is a
startup focusing on fine-tuning project-specific models that deliver automated
traceability in a near real-time environment. The following paper describes the
challenges that characterize commercializing software traceability and
highlights possible future directions.
