Strider Technologies turns publicly available data into strategic intelligence using AI and proprietary methods, helping organizations counter geopolitical and nation-state risk.
Strider Technologies builds the engineering systems behind strategic intelligence. Founded in 2019, the company transforms publicly available data into strategic intelligence using artificial intelligence and proprietary methodologies, helping organizations secure and advance their technology and innovation. Its technical work spans AI, geopolitical and nation-state risk analysis, and proprietary data methodologies - the kind of problems where engineering quality determines whether a signal is found at all.
Two products sit at the centre of that work. Strider Platform helps organizations identify and navigate geopolitical and nation-state risks across their people, partners, and ecosystems. Spark, the company's proprietary AI engine, uncovers risks in seconds rather than weeks and runs on a zero-touch architecture that requires no internal client data, preserving full separation and security. Engineering at Strider therefore confronts hard constraints: scale across unstructured public data, model performance under adversarial conditions, and architectures built for clients who cannot share what they hold.
The company operates in 15 countries with more than 250 team members. Its customers include Fortune 500 organizations, and it is trusted by the Fortune 100, alongside work with government and public sector bodies, academic and research institutions, and enterprise technology and innovation teams. Fast Company ranked it the #6 most innovative security company in the world.
Strider was founded by Greg Levesque, Eric Levesque, and Mike Brown, and remains a rapidly growing organization. Its platform serves security professionals across a field where the margin between an overlooked fact and a decisive one is set by the quality of the engineering underneath.
