Neuro-Chip SDK

The Challenge

The client required a highly scalable, fault-tolerant system capable of operating under extreme industrial conditions. Previous iterations had failed due to latency issues and hardware degradation. They approached APPRIQA to completely re-engineer the stack from the hardware layer up to the cloud infrastructure.

Our Solution

We deployed a cross-functional team of embedded engineers, AI researchers, and cloud architects. The core solution utilized a custom-designed Edge node architecture communicating with a highly available distributed backend.

• Custom PCB design for extreme temperatures
• Real-time Rust-based embedded firmware
• Computer vision models optimized for edge
• Zero-trust secure telemetry pipeline