Case Studies

We implemented an edge-to-cloud computer vision pipeline that processed store traffic and provided actionable insights to merchandising teams.

• On-device inference for real-time processing
• Telemetry pipeline handling 10K+ events/sec
• Cloud dashboard for analytics and reporting
• 98% accuracy in customer traffic patterns

Built a compact model and firmware integration to run anomaly detection on device telemetry, enabling early alerts and reducing downtime.

• Compact ML model (< 500KB) for edge devices
• Real-time anomaly detection with 95% accuracy
• Reduced equipment downtime by 40%
• Secure OTA updates for continuous improvement

Designed a secure multi-tenant ingestion and analytics platform that handled high-throughput telemetry, and delivered customizable dashboards for customers.

• High-throughput data ingestion (100K+ events/sec)
• Secure multi-tenant architecture with data isolation
• Customizable real-time dashboards per customer
• 99.9% uptime with auto-scaling infrastructure