TrendMiner

TrendMiner

Discovery analytics that drive operational Intelligence.

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DateInvestorsAmountRound
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Acquisition
Total Funding000k

Financials

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Revenues, earnings & profits over time
EUR2017201820192020202120222023
Revenues0000000000000000000000000000
% growth--211 %(23 %)26 %2 %30 %
EBITDA0000000000000000000000000000
% EBITDA margin-(88 %)10 %(42 %)(40 %)(59 %)-
Profit0000000000000000000000000000
% profit margin-(65 %)6 %(69 %)(51 %)(63 %)(35 %)
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 TrendMiner
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TrendMiner is a self-service analytics platform designed to optimize the performance of production manufacturing processes. The company serves clients in the process manufacturing industry, including sectors such as chemicals, pharmaceuticals, and food & beverage. TrendMiner operates in the industrial analytics market, providing tools that allow process and asset experts to analyze, monitor, and predict operational performance. The business model is based on a subscription service, where clients pay for access to the platform and its features. The company generates revenue through these subscriptions, offering various pricing tiers based on the level of service and features required by the client. TrendMiner's platform enables rapid-fire visualization of time-series data, allowing users to quickly identify trends, anomalies, and opportunities for optimization. By empowering users with advanced analytics capabilities, TrendMiner helps companies achieve operational excellence and significant cost savings. Key features include data-driven discovery, real-time monitoring, and predictive analytics, all of which contribute to improved decision-making and performance optimization.

Keywords: self-service analytics, production optimization, time-series data, process manufacturing, operational excellence, real-time insights, predictive analytics, data-driven discovery, industrial analytics, cost savings.

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