Overview
SUPPLIER
MANAGED
K2data |
|
China | |
2014 | |
Private | |
$10-100m | |
201 - 1,000 | |
Open website |
IoT Snapshot
Technology Stack
Similar Suppliers
Number of Similar Suppliers5
Altizon Systems
Altizon empowers Industrial Digital Revolutions globally by helping enterprises use Machine Data to drive business decisions. With a global footprint of over 100 enterprise users, Altizon is a leading Industrial IoT platform provider as recognized by Gartner, Forrester, BCG, Frost & Sullivan, and others. |
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mnubo (Aspen)
mnubo provides Big Data and Analytics to the Internet-of-Things (IoT) and Machine-to-Machine (M2M) space, enabling ‘connected things’ to become ‘smart objects’. mnubo helps extract true value from sensor data by delivering advanced analytics, strategic insights, and enabling richer applications. They offer a SaaS-based solution to connected object manufacturers to connect, collect, and analyze their object data. Their customers range among Wearables, home, automotive, industrial, and healthcare verticals. mnubo was founded in 2012 by a team of industry experts in the areas of next-generation mobile networks, highly scalable and flexible databases, and subscriber data management. |
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Guavus
Guavus has been built from the ground up to solve the world’s most complex data problems. Proven across Fortune 500 enterprises, Guavus provides the only operational intelligence platform that delivers an end-to-end, real-time view across business operations and currently processes over half a trillion records every day. The Guavus Reflex® operational intelligence platform correlates and analyzes massive petabytes of streaming and stored business, operational and sensor data from multiple, disparate source systems in real-time. The resulting “live” operational analytics are fed into a new generation of analytically-powered applications to address specific business problems for network, service Assurance & operations, marketing and the Internet of Things. These solutions, which can be embedded into automated workflows and business processes, make our customers more agile, competitive and profitable by transforming them into real-time, data-driven enterprises.Built on top of the Guavus Reflex® platform, the company provides a wide range of products that address specific business problems related to network planning, service Assurance & operations, and marketing & monetization. Each application incorporates Machine Learning and predictive analytics that allow customers to rapidly realize business value from their data and in ways that were previously not possible.Business and contextually aware Insights are displayed through powerful, and easy to use graphical dashboards that can be customized to suit specific and individual information requirements. The Big Data analytics solutions, which leverage a grid-based computing architecture and is based on leading Open Source technologies including Hadoop, Apache Spark, and Yarn. The complete platform is made up of set up interconnected components including: collection nodes, compute nodes, UI nodes, and management nodes. |
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SpaceTime Insight (Nokia)
SpaceTime Insight develops and delivers innovative advanced analytics and IIoT applications for asset-intensive industries. With our software, customers reduce cost and risk, increase capital efficiency, pinpoint theft, spoilage, and shrinkage, lower the frequency and duration of service outages, optimize field crews and operations, ensure regulatory compliance, and more. They understand the entire breadth of their operations in motion, in context, and in real time, and generate greater returns at lower risk, lower cost, and greater speed.SpaceTime Insight’s software powers mission-critical systems for some of the largest companies around the world in diverse industries including utilities, shipping, manufacturing, and energy. |
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Noodle Analytics
Noodle.ai offers pioneering business solutions in Enterprise Artificial Intelligence, a unique collaboration among business executives, process experts, and Artificial Intelligence technologies (e.g., Machine Learning, predictive data analytics, data science). The company creates and implements these solutions to solve complex business challenges and drive dramatic improvements in customer, product, and enterprise operations. |