Strategic intelligence platform for technology risk and nation-state threats
Strider builds a strategic intelligence platform that converts open-source intelligence into actionable risk insights for enterprise organizations. The tech stack reveals a hybrid approach: Python, PyTorch, and scikit-learn for machine learning; Elasticsearch and Spark for data processing; and a full sales infrastructure (Salesforce, SalesLoft, LinkedIn Sales Navigator, Outreach, ZoomInfo) suggesting an enterprise sales motion. The hiring mix is sales-heavy (5 open roles) relative to engineering (2), indicating execution of a go-to-market strategy against a fixed platform foundation.
Strider Technologies is a strategic intelligence company founded in 2019 and based in Salt Lake City. The platform helps organizations understand and respond to nation-state risks, targeted talent acquisition threats, and supply chain vulnerabilities through AI-enhanced analysis of open-source data. The company serves mid-market and enterprise customers in technology, defense, and critical infrastructure sectors. Active projects span custom data pipelines, document classification systems, platform integrations, and market expansion, with current headcount between 201–500 employees. The organization is hiring across sales, support, product, and finance, with expansion into the UK and Japan.
Strider uses Python, PyTorch, scikit-learn, and Elasticsearch for AI and data processing; AWS for infrastructure; Salesforce, SalesLoft, and LinkedIn Sales Navigator for sales; and Jira, Linear, Postman for engineering operations.
Strider Technologies is headquartered in Salt Lake City, Utah. The company is actively hiring in the United States, United Kingdom, and Japan.
Strider Technologies'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.