CUJO AI operates at scale across operator networks—63M homes and 3B+ devices—using a full-stack architecture spanning AWS infrastructure, edge firmware (OpenWrt, Yocto), and mobile clients (Android, iOS) paired with cloud backends in TypeScript, Java, and Python. Active hiring skews heavily toward senior and director-level engineers and product roles, with simultaneous adoption of Go and Kotlin across backend services, suggesting investment in modernizing legacy infrastructure while scaling new AI/LLM capabilities.
CUJO AI builds cybersecurity and network intelligence software for ISPs and mobile operators globally. The platform protects subscriber networks through home security, parental controls, content filtering, and privacy services—deployed at the firmware, cloud, and mobile layers. Customers include major telecom operators across North America and Europe. The company operates a multi-product suite (OTM platform, device intelligence, backend services) that must remain consistent across firmware, cloud, and mobile surfaces, a complexity reflected in reported quality and migration challenges.
TypeScript, Node.js, Python, Java, AWS (Lambda, DynamoDB, RDS, MSK), Android, iOS, OpenWrt, Yocto, Jenkins, PostgreSQL, and network tools like Wireshark and Netfilter.
Backend services for their OTM product, AI/LLM integration, device intelligence roadmap, Python test automation, and infrastructure-as-code CI/CD pipelines.
CUJO AI®'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.