Sentra Retail OS

Sentra Retail OS is a B2B spatial intelligence platform designed to transform standard retail camera infrastructure into a high-precision behavioral analytics engine. As CTO, I architected the system to operate under real-world constraints: limited bandwidth, low-power edge hardware, and the need for 24/7 reliability.

Core Architecture & Technical Highlights:

• Edge-First Processing: Optimized for deployment on low-cost nodes (X96 Mini / SOYO AMD), reducing cloud costs by 90%.
• Optimized Sparse Analytics: A proprietary approach to video processing that maintains tracking accuracy while minimizing CPU load.
• Offline-First Resilience: Integrated Redis-based buffering and load shedding to handle network instability without data loss.
• Multi-Tier Risk Engine: A mathematical scoring cascade (Tier 1-3) for real-time threat detection and behavioral feature extraction.

Impact & Recognition:

• 1st Place & 500k KZT Prize: Secured top honors at the Startup Battles, validating the product’s market viability and technical robustness.
• Semi-finalist: Digital Qazaqstan (Astana).
• Current Status: Finalizing pilot deployments with 4-camera soak tests on AMD-based edge nodes.

Website: https://sentra.company