Cumulocity

Cumulocity

Software solutions based on cloud technology for the Machine to Machine market.

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DateInvestorsAmountRound
-investor

€0.0

round
investor investor

€0.0

round
investor

€0.0

round
*

N/A

Buyout
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
EUR2014201520162017201820192020
Revenues0000000000000000000000000000
% growth---51 %49 %12 %20 %
EBITDA0000000000000000000000000000
% EBITDA margin---(59 %)(24 %)(69 %)135 %
Profit0000000000000000000000000000
% profit margin--(44 %)(62 %)(25 %)(71 %)118 %
EV0000000000000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x00.0x00.0x
R&D budget0000000000000000000000000000

Source: Company filings or news article

More about Cumulocity
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Cumulocity IoT, a subsidiary of Software AG, operates in the industrial Internet of Things (IoT) market, providing a comprehensive platform for connecting, managing, and analyzing data from various devices and sensors. The company serves a diverse range of clients, including manufacturers, utilities, and enterprises looking to optimize their operations through data-driven insights.

Cumulocity IoT's business model revolves around offering a low-code platform that allows clients to build and deploy IoT solutions with minimal coding effort. This platform is designed to be open and extensible, ensuring compatibility with a wide range of devices and systems. The company generates revenue through subscription fees for its platform services, as well as through custom development and consulting services.

The platform's key features include real-time data collection, anomaly detection, and advanced analytics, which help clients improve operational efficiencies, enhance product insights, and optimize customer experiences. By leveraging machine learning and other advanced technologies, Cumulocity IoT enables businesses to make better decisions and achieve greater efficiency.

Keywords: IoT, real-time data, anomaly detection, low-code platform, machine learning, industrial IoT, device management, data analytics, operational efficiency, smart products.

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