Crosser

Crosser

Designs and develops real-time software solutions for edge computing and real-time integration.

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DateInvestorsAmountRound
-investor investor investor investor

€0.0

round
investor investor investor

€0.0

round
investor investor investor investor investor

€0.0

round

€3.0m

Early VC
Total Funding000k

Financials

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Revenues, earnings & profits over time
EUR2018201920202021202220232024
Revenues0000000000000000000000000000
% growth44 %3 %103 %439 %26 %53 %33 %
EBITDA0000000000000000000000000000
% EBITDA margin(528 %)(844 %)(669 %)----
Profit0000000000000000000000000000
% profit margin(557 %)(884 %)(787 %)(178 %)(186 %)(98 %)(66 %)
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

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More about Crosser
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Crosser is a Swedish software company that has developed a low-code platform for streaming analytics and integration. The platform is designed to help businesses process data in real-time, closer to the source, which is particularly relevant for Industrial IoT and Industry 4.0 applications.

The company's software can be deployed in various environments, including on-premise, cloud, and edge locations. This hybrid-first approach allows for flexible and scalable data pipelines. Crosser's platform features a library of pre-built modules and connectors, which simplifies the process of integrating different data sources and systems. The low-code nature of the platform makes it accessible to a wider range of users, not just developers.

Crosser's business model is based on providing its software platform to businesses that need to manage and analyze large volumes of data from various sources, such as sensors, machines, and other equipment. The company's target market includes manufacturing, utilities, and other industries that are adopting IoT technologies. By enabling real-time data processing at the edge, Crosser helps its clients to reduce latency, improve operational efficiency, and gain faster insights from their data.

Keywords: streaming analytics, data integration, low-code platform, edge computing, IoT, Industry 4.0, real-time data, hybrid cloud, data pipelines, industrial automation

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