IoT Concepts provides fully managed wireless sensor networks using LoRaWAN, NB‑IoT, and Bluetooth to collect high‑resolution condition data from industrial and municipal assets. The data is streamed to a secure cloud platform where predictive‑analytics models generate real‑time alerts and APIs for integration with ERP, MES, SCADA, or building‑management systems, enabling proactive maintenance and reduced downtime.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial and municipal operators often rely on manual inspections or legacy SCADA systems that capture only limited data points, resulting in delayed fault detection, high maintenance costs, and inefficient resource utilization.
Solution
IoT Concepts delivers fully managed wireless sensor networks built on LoRaWAN, NB‑IoT, and Bluetooth to collect high‑resolution condition data such as temperature, humidity, vibration, fill level, and location. The raw streams are ingested into a secure cloud platform where proprietary predictive‑analytics models forecast equipment degradation and trigger automated workflows. Customers receive real‑time alerts, trend visualizations, and REST/GraphQL APIs that integrate with existing ERP, MES, or building‑management systems. The service covers the entire lifecycle—from concept design and hardware selection using standard OEM components, through network rollout and edge‑firmware provisioning, to ongoing monitoring, remote device management, and SLA‑backed operation. By converting raw sensor signals into actionable insights, the solution enables a shift from reactive repairs to proactive maintenance, reducing downtime and operational expenditures.
Target Audience
Primary customers are industrial plant operators, utilities, city administrations, logistics firms, and large‑scale agricultural enterprises that require reliable, scalable IoT deployments for asset monitoring and process automation.
Features
- End‑to‑end network engineering using LoRaWAN, NB‑IoT, and Bluetooth for wide‑area, low‑power connectivity
- Edge firmware with adaptive sampling and over‑the‑air updates to optimize battery life and data quality
- Secure, high‑availability cloud pipeline that stores sensor streams in encrypted databases and applies machine‑learning models for predictive maintenance
- Configurable alert engine with multi‑channel notifications (SMS, email, webhook) and automated actuation hooks for process control
- Customizable dashboards and analytics portal plus REST/GraphQL APIs for seamless integration with ERP, SCADA, or BMS platforms
- Remote device management console offering health monitoring, firmware rollout, and network diagnostics under a 99.9 % uptime SLA
- Modular hardware architecture based on vetted OEM sensor modules, ensuring scalability and easy replacement