Peregrine builds a data integration platform purpose-built for law enforcement and public safety operations. The tech stack—Python, Kafka, Airflow, PostgreSQL, Elasticsearch—reflects a data-pipeline-first architecture; the adoption of Bedrock and SageMaker signals an active pivot toward AI-driven features. Active projects span AI governance, real-time querying, and generative-AI UX, while pain points reveal the core tension: scaling real-time ingest and governance across mission-critical, highly regulated environments where data fragmentation and compliance complexity are blocking adoption.
Notable leadership hires: Growth Lead, Total Rewards Director, Regional Lead
Peregrine provides real-time data integration and visualization for public safety agencies—police departments, sheriff's offices, and state law enforcement—helping them consolidate siloed data sources and make faster operational decisions. Founded in 2018 and based in San Francisco, the company operates at 201–500 employees with offices hiring across the U.S., UK, and Canada. The engineering-heavy headcount and active infrastructure projects (AI governance frameworks, data pipelines, real-time operational ingestion) reflect a platform business serving a regulated, mission-critical customer base where data latency and compliance directly impact public safety outcomes.
Python, React, Django, Kafka, Apache Airflow, PostgreSQL, Elasticsearch, Mapbox, AWS, Kubernetes, Redshift, and recently Bedrock and SageMaker for AI infrastructure.
Active projects include AI governance frameworks, real-time data ingestion platforms, generative-AI UX, privacy impact assessments, and statewide growth initiatives with Texas agencies.
Peregrine's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.