Real-time data integration platform for public safety agencies
Peregrine builds a data integration and visualization platform serving law enforcement and public safety agencies. The stack—Python, Kafka, Airflow, Elasticsearch, Bedrock, SageMaker—reflects a high-scale data pipeline operation handling billions of ingestion points and terabyte-level volumes. Active hiring in engineering (44), sales (31), and marketing (14) shows aggressive go-to-market motion alongside infrastructure scaling; their statewide Texas growth initiatives and shipping real-time collaboration features on maps indicate product-market fit expansion in a vertical with historically slow tech adoption.
Notable leadership hires: Growth Lead, Total Rewards Director
Peregrine provides real-time data integration and visualization software to public safety agencies, helping dispatchers, command centers, and field teams consolidate fragmented data sources into single operational views. Founded in 2018 and headquartered in San Francisco, the company operates at a scale requiring distributed infrastructure—ingesting billions of data points into petabyte-level systems running on Kafka, Airflow, and Snowflake, with query and map-based interfaces built on React and Mapbox. The 201–500 person org is structured around engineering and sales teams expanding regionally (active hiring across the US, UK, and Canada) while building AI governance frameworks and generative UI features.
Core: Python, SQL, PostgreSQL, Kafka, Apache Airflow, Elasticsearch, dbt, Snowflake, BigQuery. Frontend: React, JavaScript, Mapbox. Infrastructure: AWS, Kubernetes, Terraform, Pulumi. ML: Bedrock, SageMaker. Tools: Django, Celery for task processing.
Real-time collaboration on maps, AI governance frameworks, generative AI UX, ETL pipeline development, backend architecture for ingesting billions of data points, and statewide growth initiatives with Texas public safety agencies.
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