Data integration and real-time mapping platform for public safety agencies
Peregrine builds a data integration platform for public safety agencies, running Python/Django, Kafka, Spark and Iceberg on AWS GovCloud with Bedrock and SageMaker in the stack, a setup built for regulated government workloads with AI on top. Hiring is accelerating and skews senior, with sales and marketing growing alongside engineering. Pain points around petabyte-scale storage and stalled deployments suggest that delivery capacity, not demand, is the constraint.
Notable leadership hires: Regional Lead, Growth Lead, Creative Director, Business Development Lead, Community Engagement Lead
Peregrine is a privately held software company founded in 2018 and headquartered in San Francisco, California. It sells a data integration platform to public safety agencies that unifies siloed data sources to support operational decisions. The product includes real-time collaborative map experiences built with Mapbox and React, plus dossier-style views that assemble records. The company has 201–500 employees and hires across the United States and Canada, with roles spanning engineering, sales, marketing, support, legal and operations.
Peregrine runs Python, Django, Go and TypeScript with React, Kafka, Airflow, Spark, Apache Iceberg, PostgreSQL and Elasticsearch on AWS and AWS GovCloud, managed with Kubernetes, Terraform and Pulumi.
Yes. Hiring is accelerating and mostly senior. Engineering, sales and marketing lead the mix, with openings in the United States and Canada.
Current work includes scaling its data warehouse, building dbt ETL pipelines, real-time collaborative map experiences, standing up new regions and customer environments, and autoscaling infrastructure.
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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.