Azure-backed Inventory Vision.
Built on enterprise-grade architecture for maximum uptime across high-traffic warehouses, distribution hubs, and supplier networks.
Convolutional Neural Networks at the Edge
Traditional cloud computer vision fails in inventory management because transmitting high-definition video from every aisle is expensive, slow, and unnecessary. InvManage solves this by running custom YOLO object detection models directly on the camera node using NVIDIA Jetson Orin Nano modules.
We do not transmit constant video. We transmit structured telemetry: SKU counts, pallet velocity vectors, shelf occupancy, scan confidence, and exception scores. This reduces bandwidth by 99%.
Microsoft Azure Integration
Our entire backend infrastructure is hosted on Microsoft Azure to ensure compliance and scalability for our enterprise B2B partners.
Azure IoT Hub
Handles secure bi-directional communication with thousands of warehouse edge nodes.
Azure Cosmos DB
Provides millisecond latency for time-series inventory events, scan logs, and exception history.
Azure Cognitive Services
Powers secondary anomaly detection logic and predictive replenishment models.
AWS S3 & EC2 Data Lakes
For enterprise clients requiring multi-cloud redundancy, raw telemetry and diagnostic logs can be backed up using AWS infrastructure.
NVIDIA Edge AI
Every camera node ships with NVIDIA-accelerated hardware, so inference happens on the rack, not in the cloud.
NVIDIA Jetson Orin Nano
Runs our custom YOLO object detection models directly on the camera node for real-time SKU and pallet recognition.
TensorRT Inference Optimization
Compiles our detection models for low-latency, low-power execution at the edge, even on high-traffic warehouse floors.
CUDA-Accelerated Pipelines
Handles optical flow and background subtraction on-device, cutting bandwidth needs by 99% before data ever reaches the cloud.
AWS Multi-Cloud Redundancy
For enterprise clients requiring multi-cloud resilience, our platform mirrors critical workloads onto AWS infrastructure alongside our Azure backbone.
Amazon S3 Data Lakes
Backs up raw telemetry, scan logs, and diagnostic history for long-term retention and compliance audits.
Amazon EC2 Failover Clusters
Standby compute capacity that can take over dashboard and alerting workloads if a regional outage affects the primary cloud.
AWS IoT Greengrass
Gives edge nodes a secondary path to the cloud, keeping inventory sync alive even during Azure IoT Hub maintenance windows.