CUJO AI builds embedded security for ISP home routers and IoT devices, deployed across 3+ billion devices on operator networks. The tech stack is deeply embedded (Linux, OpenWrt, Yocto, C) layered over cloud infrastructure (AWS, PostgreSQL, DynamoDB, Kafka on MSK), reflecting their dual architecture: lightweight analysis at the edge and centralized threat detection in the cloud. Active hiring skews senior and security-focused, with ongoing work on porting software to router platforms and big-data threat detection—signals of platform hardening and scale challenges in defending large operator networks.
CUJO AI provides cybersecurity and device intelligence for mobile and fixed network operators. The platform protects home networks through embedded software running on ISP-provided routers, combined with cloud-based threat intelligence and parental controls. Customers include major North American and European telecom carriers. The company serves both end-user protection (home network security, content blocking, privacy) and operator monetization (value-add services, network optimization). With production deployments at scale—3+ billion devices across global operator networks—the platform must handle distributed embedded systems, high-volume traffic analysis, and continuous adversarial pressure.
Embedded layer: Linux, OpenWrt, Yocto, C, Netfilter, iproute2. Cloud backend: AWS (RDS, Aurora, DynamoDB, Lambda, MSK, ECS), PostgreSQL, Java, Spring, Python. DevOps: Docker, Jenkins, GitHub Actions, Terraform.
More than 3 billion devices across operator networks globally, as stated in company information.
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