Insider risk, user behavior analytics and workforce monitoring software
Teramind builds endpoint monitoring and insider-risk software, and its stack shows it: native agents in C++, Boost, Windows API and Objective-C feed a Go, Node.js and ClickHouse analytics backend, with TensorFlow and PyTorch for behavioral modeling. Hiring is minimal and centered on a senior marketing role tied to product launches and sales enablement, pointing to a go-to-market push rather than an engineering build-out.
Teramind is a privately held software company founded in 2014 and headquartered in Cheyenne, Wyoming, with 51–200 employees. It sells user behavior analytics, insider threat detection, data loss prevention and workforce productivity tools to organizations that need visibility into employee activity. Capabilities include audit and forensics, compliance management, a policy and rule engine, privileged access controls and BI reporting. The product runs on cross-platform endpoint agents paired with a web application built on React, Next.js and Nest.js.
Teramind uses C++, Boost, Windows API and Objective-C for endpoint agents, plus Go, Node.js, TypeScript, GraphQL, PostgreSQL, ClickHouse, Redis, Docker, Kubernetes, TensorFlow and PyTorch.
Teramind is headquartered in Cheyenne, Wyoming, United States, and has operated as a privately held company since its founding in 2014.
Hiring is currently minimal, focused on a senior marketing role connected to product launches, go-to-market, creative production and sales enablement.
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Teramind'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.