One platform for every sensor, everywhere.
IoTSense connects all your devices, processes their data right at the edge across smart homes, cities, and systems, and acts instantly. Run it seamlessly on your own server, in the cloud, or both.
- Industry Agnostic
- Device Agnostic
- Edge-Level ML Analytics
Connectivity
One Hub. Every Protocol.
Stop building custom adapters. IoTSense features out-of-the-box drivers for every legacy machine, cloud broker, and smart network.
IoTSenseEdge
OPC UA
PLC and SCADACANbus
Machine busMQTT, AMQP
Message brokersLoRa, NB-IoT
Long rangeBLE, ZigBee
Short rangeModbus
RTU and TCPOPC UA
PLC and SCADACANbus
Machine busMQTT, AMQP
Message brokersLoRa, NB-IoT
Long rangeBLE, ZigBee
Short range
The data does not have to leave the floor to be useful.
Most platforms are a pipe to the internet. IoTSense analyses the reading in motion, at the machine, and sends onward only what is worth sending.
Without IoTSense
- Sensor reading
- Cloud upload
- Analyse
- Decision returns late
With IoTSense
- Sensor reading
- Analysed at the edge
- Action in milliseconds
30xReal-time compression of the data stream, which is what makes a constrained link or a remote site practical.
60%Faster development than building the same capability from scratch.
40%Less cost to reach the same result.
The platform
Six layers, sensor to system.
At the machine
01Connectivity
A connection engine that speaks both generations of industrial protocol. A working machine does not have to be replaced to be connected.
02Device management
Machines organised by type and location, grouped for aggregation, managed in the field or from the cloud. Communication runs both ways.
03Edge compute and alerts
Data analysed in motion, on the edge, so the decision happens next to the machine and only what matters travels onward.
04Real-time dashboards
Local dashboards and custom reports tracking KPIs as they move, on site, with no dependency on a cloud connection to render.
05Open APIs
Everything the platform holds available over an open API, for a third-party system, an ERP, or an application built on top of it.
06Cloud endpoints
An instance at each site and an aggregated instance at head office, synchronised in two directions, so a plant stays in control locally while the group sees everything.
In the business systems
What a gateway does not do.
Unified Data Definition
Readings from any sensor, new or twenty years old, transformed into one shared definition in real time.
Machine learning at the edge
Models run on the gateway itself, so a pattern is recognised and acted on at the machine, with no cloud dependency.
Computer vision at the edge
Visual inspection and detection processed on site, so camera feeds never have to leave the plant to be worth anything.
Actionable triggers
Rule-based actions that fire on the data as it arrives, at the machine, without a system in the middle.
Intrusion detection
The device network watched from inside the platform, not bolted on after the fact.
Machine to machine
Devices act on one another’s readings directly, without routing every decision through a central system.
Where it runs is your decision.
Where the data lives never has to be a condition of using the platform.
On premise
A private server inside the plant. Nothing leaves the building unless you decide it should.
Public cloud
Out-of-the-box connectors to the major providers, with no integration work to reach them.
Both, across sites
One instance per site and an aggregated instance at head office, synchronised in two directions.
- Amazon AWS
- Microsoft Azure
- IBM Watson
- Google Cloud
- Private cloud
- On-premise server