Acoustic gunshot detection and investigation platform for law enforcement
SoundThinking operates a public safety software suite anchored by acoustic gunshot detection (ShotSpotter), complemented by investigation and resource-routing tools. The tech stack reveals a company transitioning from traditional analytics toward AI-native operations: heavy use of PyTorch, TensorFlow, and LLaMA alongside newer orchestration tools (Airflow, Dagster, dbt) signals an active shift to real-time ML pipelines and data governance. Active hiring is weighted toward engineering and data roles—reflecting investment in model development and system scalability—while pain points around model governance, responsible AI compliance, and acoustic system monitoring indicate the core challenge: deploying surveillance-grade ML in a regulatory and public-trust environment.
Notable leadership hires: Sales Director
SoundThinking is a Nasdaq-listed public safety technology company serving more than 250 customers and 2,000 law enforcement agencies across the United States. The SafetySmart platform integrates four main products: ShotSpotter (acoustic gunshot detection), CrimeTracer (law enforcement search and analytics), CaseBuilder (investigation management), and ResourceRouter (resource allocation). The company combines AI/ML capabilities—from audio labeling pipelines to advanced model development—with strategic advisory services. Headquarters is in Fremont, California.
Python, Java, PyTorch, TensorFlow, JAX, and LLaMA for ML; AWS, GCP, and Azure for infrastructure; Databricks and Apache Spark for data processing; Salesforce and NetSuite for business systems; Jira, Confluence, and GitHub Copilot for development.
Active projects include an AI/ML data labeling pipeline, advanced ML model development, MLOps infrastructure (using Airflow and Dagster), data quality and governance frameworks, and an AI technical roadmap for public safety adoption.
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