Real-time AI decision platform for supply chain visibility and execution
Decklar operates a decision-intelligence platform that fuses real-time shipment and asset tracking with AI-driven recommendations for supply chain operations. The stack reveals a hybrid embedded-to-cloud architecture: firmware (FreeRTOS, Zephyr, C++) and IoT protocols (Bluetooth, Wi-Fi) feed into a cloud backbone (AWS, Azure, GCP with Kubernetes and Terraform), frontend (React, Angular), and enterprise sales integration (Salesforce). Current hiring is weighted toward senior engineering and director-level finance roles while the pain list centers on platform reliability and multi-cloud scaling — suggesting post-pilot maturation challenges as they expand from early deployments into enterprise-wide rollouts.
Decklar builds a real-time decision platform for supply chain operations at Global 2000 enterprises. The product ingests live shipment and asset signals (via embedded IoT sensors and tracking) and pairs them with decision intelligence to automate replenishment, goods receipt, quality release, security, and asset management across supply chain, logistics, finance, and operations teams. The company is headquartered in Santa Clara, California, and operates across the United States, India, and Mexico. Current focus is transitioning pilot deployments into enterprise-scale rollouts and expanding use-case adoption within existing accounts.
Decklar runs FreeRTOS and Zephyr firmware with C++ and embedded protocols (Bluetooth, Wi-Fi, I2C, UART) on devices, fed into AWS, Azure, and GCP via Kubernetes and Terraform; frontend is React and Angular; enterprise integration via Salesforce.
Decklar is headquartered in Santa Clara, California, and was founded in 2014. The company employs 51–200 people.
Decklar's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.