ROC builds Vision AI systems combining computer vision, multimodal biometrics, and object detection—deployed across iOS, Android, and cloud infrastructure (AWS, Azure, GCP). The tech stack reveals a multi-platform mobile-first strategy (Swift, Kotlin, React Native, Flutter) paired with containerized backend ops (Kubernetes, Terraform, Bicep), but hiring velocity is climbing against documented pain points in device performance optimization, technical debt, and on-time delivery of biometric solutions—suggesting they're scaling past their current engineering capacity.
ROC is a Denver-based Vision AI company founded in 2015, serving defense, public safety, and digital commerce sectors with identity and intelligence capabilities. The platform integrates face recognition, fingerprint recognition, iris recognition, threat detection, weapon detection, and video analytics. Operations span mobile deployments (iOS/Android), cloud backends on AWS/Azure/GCP, and infrastructure-as-code tooling (Terraform, Bicep, Kubernetes). The company operates at 51–200 employees with engineering-led development, active infrastructure modernization projects, and documented friction around performance bottlenecks and contractual delivery timelines.
iOS, Android, Swift, Kotlin, Java, C++, JavaScript, React Native, Flutter, AWS, Azure, GCP, PostgreSQL, MongoDB, Azure Kubernetes Service, and infrastructure-as-code tools (Terraform, Bicep).
Current projects include deployment of ROC ABIs, flagship application development, multi-cloud infrastructure-as-code, CI/CD pipeline development, and cloud cost management.
ROC'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.