Strategic intelligence platform for nation-state and supply chain risk
Strider builds a strategic intelligence platform that transforms open-source data into actionable insights for national security and technology risk. The tech stack—Playwright, TypeScript, Python, Apache Spark, Ray, Databricks, Snowflake, BigQuery—reveals a heavy data-processing operation oriented toward unstructured data ingestion and entity resolution. Current hiring is decelerating but senior-skewed (15 of 26 roles), with active recruitment for a Head of Sales, signaling sales-led growth phase after platform maturation.
Notable leadership hires: Head of Sales
Strider is a strategic intelligence company serving U.S. government, defense, and enterprise technology organizations. Founded in 2019 and headquartered in Salt Lake City, the company focuses on three core risk domains: state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities. The product suite centers on data pipelines that ingest open-source intelligence, perform entity resolution and knowledge-graph construction, and expose findings through a platform rollout. The engineering and data teams (13 combined) are actively scaling pipelines for massive unstructured datasets, while sales and support (8 combined) manage customer integration and demand generation. Recent hiring in the United Kingdom and Japan reflects geographic expansion.
Strider uses Playwright, TypeScript, Python, Apache Spark, Ray, Databricks, Snowflake, BigQuery, Elasticsearch, DynamoDB, and AWS/GCP for core infrastructure. Recently adopting ChatGPT, GitHub Copilot, Cursor, and Terraform.
Strider transforms open-source data into strategic intelligence for organizations to identify and mitigate state-sponsored IP theft, targeted talent acquisition, and supply chain risks. Core capabilities include entity resolution, knowledge graphs, and large-scale unstructured data processing.
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