5 Top Machine-to-Machine Startups Impacting Industry 4.0

We analyzed 389 machine-to-machine startups impacting Industry 4.0. Minto, Ioticiti, RoboticsX, Elemental Machines, and Weeve develop 5 top solutions. Learn more in our Global Startup Heat Map!

Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on solutions for Industry 4.0. As there is a large number of startups working on a variety of applications, we want to share our insights with you. Today, we take a look at 5 promising machine-to-machine startups.

Heat Map: 5 Top Machine-to-Machine Startups

Using our StartUs Insights Platform, covering 1.116.000+ startups & emerging companies, we looked at innovation in the field of machine-to-machine. For this research, we identified 389 relevant solutions and picked 5 to showcase below. These companies were chosen based on a data-driven startup scouting approach, taking into account factors such as location, founding year, and technology among others. Depending on your specific criteria, the top picks might look entirely different.

The Global Startup Heat Map below highlights 5 startups & emerging companies developing machine-to-machine solutions. Moreover, the Heat Map reveals regions that observe a high startup activity and illustrates the geographic distribution of all 389 companies we analyzed for this specific topic.

Minto – Condition Monitoring

Condition monitoring involves tracking parameters, such as temperature or vibrations for each asset. The advent of the Internet of Things (IoT) brings the power of big data and machine-to-machine (M2M) communication to streamline the processes. This enables real-time monitoring of machines for better predictive analytics. In turn, it saves costs resulting from machine down-times and faulty production.

Minto is an Indian startup that develops a smart condition monitoring platform for rotating machines. The startup’s wireless, non-invasive device plugs into moving machines and collects high-resolution data to monitor them. The solution covers process manufacturing, utilities, and energy applications, as well as identifies faults before machines break down.


Ioticiti – Fleet Management

Fleet management solutions aim at minimizing machines’ mileage for the maximum profit and cost savings. M2M-based platforms connect vehicles in a fleet to automate dispatch and performance monitoring. Moreover, they transmit vehicular information in real-time, a feature that helps greatly in case of any accidents or failures for a fast response.

Canadian startup Ioticiti uses the Industrial Internet of Things (IIoT) to build a fleet management product. The startup’s solution equips vehicles with a M2M connectivity platform to map and manage unload wait-times and optimize product deliveries. The solutions can be applies in the construction, cold-chain, and waste management industries.


RoboticsX – Digital Factory

Most industrial processes require humans to operate or automate a single task at a time. Moreover, data generated from a machine generally stays within it. This leads to frequent downtimes, continuous delays, and redundant processes. M2M communication enables interoperability among machines and devices in smart factories.

RoboticsX is a German startup that develops machine-to-machine solutions to empower digital factories. X1 Grid, their manufacturing software platform, transfers data from connected industrial devices to enterprise resource planning (ERP) programs in real-time to increase the efficiency of the factory. The platform also assists engineers in reconfiguring devices without programming.


Elemental Machines – Lab Of The Future

Nowadays science-based industries encounter unique challenges in enterprise asset management. For instance, original equipment manufacturer (OEM) devices and testing tools do not share a lot of data that is crucial for important production decisions. M2M-based solutions automate data collection and optimize R&D activities in multiple industries, such as materials, life sciences, manufacturing, and energy.

The US-based startup Elemental Machines provides M2M solutions for technology-based industries. Their product, Element-D, collects metadata from OEM devices to provide actionable insights about workflows, machine health, and capacity utilization. The startup also provides solutions for monitoring ambient temperature and environmental conditions in manufacturing facilities and containers.


Weeve – Machine Economy

Machine economy involves networked and autonomous machines acting without the need for human intervention. It combines machine learning and M2M interactions to improve operational processes and attain higher production efficiency. This saves costs in hiring human labor needed to monitor systems for maintenance in Industry 4.0.

German startup Weeve offers solutions that bring the benefits of the machine-to-machine economy to the Internet of Things (IoT) devices. Their product, WeeveMQ, uses the patent-pending MQ Telemetry Transport (MQTTS) protocol for secure M2M, particularly for cases where battery life or computational resources pose a limitation. Additionally, the IoT Wallet, another product from Weeve, facilitates payments between connected IoT devices.


What About The Other 384 Solutions?

While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence so you can achieve your goals faster. The 5 machine-to-machine startups showcased above are promising examples out of 389 we analyzed for this article.


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