Kurnup is a sensor, big data and Artificial Intelligence company for Predictive Maintenance.

ConnectM is a leading, global Machine-to-Machine (M2M) Technology Solutions, Business Intelligence and Services Company headquartered in Bangalore, India. With over 70,000 assets connected, ConnectM's Solution Delivery Platform (SDP) is a robust and proven technology. Their Pre-built applications are leveraged by over 40 customers to manage their assets/machines. ConnectM SDP and applications along with devices from its eco-system partners offer the customer a one-stop-shop for M2M needs.

Fero Labs' core mission is to generate value for its industrial customers by empowering them with the modern process improvement tool driven by actionable, white-box Machine Learning. Fero Labs prides itself in increasing factories' profits by combining their existing data with the latest advances in the field of Data Science. By utilizing Fero, the automated Machine Learning software, Fero Labs' customers understand the root-causes of the problems leading to process and quality issues. Armed with new insights into their production, factories resolve the underlying issues leading to continuous process improvement. Once deployed, Fero constantly adapts to changing factory conditions, delivering insights to a broad set of industries (e.g. automotive, steel, oil & gas, chemicals, utilities) across many scenarios (e.g. planning, decision making, process optimization). The software is intuitive and promotes collaboration across departments.It's being leveraged by a wide range of users including continuous improvement managers, quality engineers, operators, data scientist and plant managers.

HUM Industrial Technology is a supply chain technology company building predictive sensors to make the supply chain smarter and safer. Our wireless wheel and bearing sensors for railcars and locomotives provides predictive visibility into the health of your assets, eliminating derailments, optimizing your maintenance management, and controlling your inventory costs.

Distence is a pivot, with a new condence.io solution, offering Industrial Internet of Things (IIoT) solutions for demanding industrial environments. The company, with 15 years of experience, digitalises and connects industrial equipment such as pumps, motors, fans, and gears to an analytical cloud platform (Condence) which provides valuable data and information. It serves as a platform for machinelearnig and AI. This information then enables its users to optimise the usage and maintenance of their equipment, creating vast energy and maintenance savings. Distence’s specialty is in rotating machinery with the combination of vibration analysis and other continuous condition monitoring methodologies. Distence has delivered thousands of machine health solutions to more than 40 countries worldwide, including major clients such as Moventas (wind turbine gears), ABB, DB Santasalo, Danfoss and Skanska (construction crane intelligence).

江行智能由国际知名科学家、加拿大工程院院士、IEEE Fellow刘江川教授创立于2018年。公司成立伊始即获得红杉资本中国种子基金数千万元的风险投资。

Sensors and Gateways The sensors and gateways are already connected to our cloud and don't require a power source. No wires are necessary and the batteries last for 5 years. Kurnup Watch Once the tags are fixed on the machines, a web platform is made available for monitoring the health and usage of your assets. Kurnup Notify The Kurnup tags also come with a mobile app that pushes notifications and important information to prevent unplanned downtime.

ConnectM has delivered M2M solutions to various domains including Telecom, Energy, Utilities, Industrial, Construction, IT/ITES Enterprises and Transportation market segments. ConnectM's solutions are powered by cutting edge M2M technology and are designed to make a significant, sustained and measurable business impact. ConnectM also offers services to its client to build complete solutions. ConnectM's strength is in its ability to offer domain specific analytics on the data collected and deliver actionable business intelligence.

Quality Continuously predict the quality of your production, Automatically identify production inputs and settings that affect critical quality metrics, and Foresee which products are likely to have flaws for planning. Maintenance Predict complex machine failures before they even happen, Automatically detect anomalous patterns of many machines, and Anticipate group failures of machines that are about to impede production. Energy Predict sensor values and visualize consumption trends, and Understand how decision made today will affect energy consumption tomorrow.

Predictive Maintenance Using proprietary vibration analysis, our sensors are able to predict bearing and wheel failure several months in advance, eliminating costly network disruptions and allowing you to plan your maintenance spend with confidence. Inventory Control Not only will you able to track the location of your assets, you'll also be able to track your maintenance and inventory activities. Whether you have a fully utilized ERP or CMMS system or just a well-used clipboard, our web platform can boost your current system by Tracking specific components, and recording asset maintenance activities. Derailment Prevention With the ability to detect bad wheels and bearings months before failure, eliminate catastrophic derailments and costly maintenance delays. Continuous monitoring of rail car and locomotive wheels and bearings provides an extra layer of prevention to keep your crews, customer's goods, and your assets safe and secure. Track & Trace Your customers are asking for detailed and frequent shipment updates. Give them Amazon-like visibility into their shipment using our continuous GPS Tracking. Combined with our simple web interface you will be able to keep tabs on your rail cars anytime, anywhere.

Software Solution Distence provides Condence product family that combines both embedded analytics and cloud service. Our software portfolio can be described as a toolbox or library of different analytical options. The Condence software is divided into two places which are the cloud and the embedded edge (edge computing & analytics on hardware). Data is analyzed on the local level and only the relevant part of it is sent to the cloud. Edge computing analysis requires a set of rules to define measurement from the sensor and to understand the data by making data computations. To make this scalable, Distence provides device management from the could and analysis at the edge. Managing and optimizing data connectivity is also a relevant benefit in this approach. In some cases, you might even need the RAW data from the vibration sensor. A user can ask for it when needed and post the analysis to an external system. Cloud computing is used also for visualizing, post-processing and accessing measurements and metrics. Data can be stored in the cloud or sent to a third party cloud by enabling a “system of systems” solution architecture. Hardware Solution Distence has more than 15 years of experience on hardware development for embedded application in industrial environments. Described hardware is designed and optimized for this specific use. Distence provides several hardware options in the Condence product family. The solution is built from Edge Computing hardware running embedded analytics and management from the cloud. Hardware is modular and it can easily adjust to fit required general needs. Two most common differences of hardware types are whether it will need vibration analysis from IEPE channel or not. Our technology can take up to 8 dimensions of acceleration simultaneously. If there is a need for more, you can combine several hardware units. On top of this, there is an option to connect V or mA sensors and digital buses to have a complete overview of asset performance and condition.

公司致力于先进边缘计算技术的开发及其在能源互联网、工业安监、智慧仓储等领域的应用。

Amdocs, ElectroMech, HCC

Covestro, Henkel, Ford, ABB, Uniper, Microsoft, Intel, AkzoNobel