Technology Overview
The Flexible Microengine (FME) is X2M’s edge computing technology. It operates at two levels: operating with connected devices for local processing, and in the cloud for abstracting network topology and managing long-range wireless device fleets.
At the device level, FME enables meters, sensors and safety devices to make decisions locally rather than relying on a central server. A gas meter working with the FME can detect seismic activity and shut down the gas supply within seconds. A water meter can identify a leak pattern and flag it immediately.
At the cloud level, FME abstracts network complexity and topology differences from high-level users. For long-range wireless devices communicating over protocols like LoRaWAN or NB-IoT, cloud-level FME handles protocol translation, device abstraction and fleet management so operators see a consistent interface regardless of the underlying network.
FME can operate its intelligence at the edge, in the cloud or anywhere in between. This provides great flexibility for customers and also hides network complexity and topology differences from high-level applications and users.
Processing close to the device means faster responses, lower bandwidth use and continued operation when network connectivity drops. Processing in the cloud means consistent management of diverse device fleets without operators needing to understand each network’s specifics.
How FME Fits Into the X2M Platform
FME operates across two levels within X2M’s broader technology stack:
1. FME (device level):
Embedded local to each connected device. Handles local data processing, autonomous responses and two-way communication. Best for time-critical decisions (earthquake shutdowns, emergency alerts, leak detection).
2. FME (cloud level):
Runs in the cloud for long-range wireless devices. Abstracts network topology and protocol differences, providing a consistent management interface for operators. Handles device fleet management, protocol translation and data routing.
3. Vision by X2M (platform level):
Cloud-based platform that aggregates data from all FME-connected devices, provides dashboards, analytics and fleet management.
4.Hive.AI by X2M
(AI level):
AI and machine learning layer that analyses aggregated data for forecasting and optimisation).
FME is what separates X2M’s solution from simple data transmitters. It’s the reason a single platform can support underground water meters and city-scale emergency response systems alike.
Technical Foundation
| Specification | Detail |
|---|---|
| Type | Embedded edge computing engine (device level) + cloud processing layer (cloud level) |
| IP protection | Part of X2M’s 40+ patent portfolio |
| Communication | Two-way (data reporting + remote updates) |
| Connectivity | Protocol-agnostic (3G/4G/5G, NB-IoT, LTE-M, LoRaWAN, Sigfox, WiSUN, ZigBee, Ethernet) |
| Offline operation | Message queuing with automatic sync on reconnection |
| Device range | Simple sensors to complex multi-device environments |
| Cloud capabilities | Network topology abstraction, protocol translation, fleet management |
Want to understand how FME works?
We can walk you through the architecture, whether you’re evaluating the Vision platform or considering integration using the FME.
