Case study
CUJO
Delivers Inline AI Security Without Slowing the Network
Inline
threat blocking at line speed
Full
IoT device coverage on home networks
Custom hardware, embedded inspection, and hybrid cloud AI protecting every device on the network at line speed.
Every IoT device on a home network is another attack surface. Traditional routers were not built to inspect traffic at line speed, identify threats across heterogeneous gadgets, and stay invisible to users trying to work, stream, and browse.
CUJO needed hardware and software together: a plug-and-play device with embedded intelligence for real-time packet inspection, device fingerprinting, and AI-driven blocking without throttling the connection people already pay for.
Our approach
We engineered custom hardware and low-level embedded software for high-speed traffic analysis, paired with a hybrid architecture that combines on-device processing with cloud-based AI learning. Consumer-friendly form factor, enterprise-grade inspection depth.
- Custom hardware platform optimized for inline network inspection
- Embedded software for real-time packet analysis and device identification
- Hybrid local and cloud AI for threat detection and model updates
- Protection across computers, phones, and smart-home IoT from one deployment
Results
CUJO delivers always-on, AI-powered protection for connected homes and small offices. Users gain security without the performance penalty that makes most consumer security tools unbearable.
- Inline threat blocking without noticeable network slowdown
- IoT device coverage across heterogeneous home networks
- AI-driven detection improving through cloud learning loops
- Consumer deployment model with enterprise-grade inspection
Get in touch
Let's talk about what's next.
We answer within a working day. Most engagements start once scope and constraints are clear.


