Metinor provides a modular cloud platform that connects wireless IoT sensors via a low‑power mesh network to deliver real‑time telemetry on equipment health, environmental conditions, and space utilization. The SaaS solution includes configurable dashboards, predictive‑maintenance analytics, ESG compliance reporting, and RESTful APIs for integration with ERP, CMMS, and building‑automation systems.
Funding
Funding not disclosed
Founders
Product
Problem
Many enterprises rely on manual inspections, siloed sensor deployments, and legacy SCADA systems, which result in delayed visibility into equipment health, environmental conditions, and space utilization. This fragmented approach increases downtime, energy waste, and compliance risk across sectors such as manufacturing, logistics, energy, and commercial real estate.
Solution
Metinor delivers a modular, plug‑and‑play cloud platform that integrates wireless IoT sensors into a unified data pipeline. The system auto‑provisions sensor nodes over a low‑power mesh network, streams encrypted telemetry to a cloud‑native ingestion service, and surfaces real‑time visualizations through configurable dashboards. Built‑in analytics apply machine‑learning models for predictive maintenance, anomaly detection, and ESG compliance reporting. Users can define rule‑based alerts and trigger automated workflows, while RESTful APIs enable seamless integration with ERP, EHS, and building‑management systems. The SaaS architecture scales from single‑site pilots to global deployments without additional hardware engineering effort.
Target Audience
Primary customers are operations, facilities, and asset managers in manufacturing, logistics, energy, cold‑chain, and commercial real‑estate organizations that require continuous, data‑driven oversight of equipment, environment, and space utilization.
Features
- Mesh‑enabled wireless sensor suite covering temperature, humidity, CO₂, leak detection, access control, and occupancy metrics
- Edge firmware with local buffering and OTA updates for zero‑downtime sensor management
- Cloud‑native ingestion pipeline built on serverless functions, supporting high‑frequency data streams and automatic schema evolution
- Real‑time dashboards with drill‑down visualizations, KPI widgets, and multi‑tenant role‑based access control
- Predictive maintenance engine leveraging time‑series forecasting and anomaly detection models to schedule interventions before failure
- Compliance module that generates ESG, HSE, and regulatory reports in exportable formats (CSV, PDF, API)
- Open REST and WebSocket APIs for integration with ERP, CMMS, and building‑automation platforms
- End‑to‑end TLS encryption, SOC‑2 compliant data storage, and granular audit logging for security and auditability