Financials

Estimates*

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Revenues, earnings & profits over time
EUR2017201820192020202120222023
Revenues<1m<1m<1m<1m<1m<1m<1m
% growth(48 %)(48 %)432 %14 %(2 %)(42 %)-
EBITDA(<1m)(<1m)(<1m)(1.2m)(1.8m)(2.4m)-
% EBITDA margin(173 %)(351 %)(81 %)(132 %)(200 %)(466 %)-
Profit(<1m)(<1m)(<1m)(1.6m)(2.4m)(3.6m)-
% profit margin(228 %)(460 %)(115 %)(169 %)(260 %)(679 %)-
R&D budget<1m<1m<1m----
R&D % of revenue136 %66 %111 %----

Source: Dealroom estimates

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DateInvestorsAmountRound
-

N/A

-

€520k

Early VC
N/A

€1.3m

Seed

N/A

Early VC
*

N/A

Early VC
N/A

€100k

Grant
N/A

€1.0m

Convertible
N/A

€1.7m

Series A
*

€5.0m

Series A
Total Funding$10.6m

Recent News about Rocsole

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More about Rocsoleinfo icon
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Rocsole is a leading smart process imaging company specializing in advanced visualization applications for the oil and gas industry. Utilizing AI deep learning prediction solutions, Rocsole helps operational teams reduce operational expenditures (OPEX), avoid unplanned shutdowns, and monitor product quality to increase revenues. The company's field-proven applications include imaging for emulsion, deposition, sand, and flow regimes, which are applied to offshore and onshore pipelines, tanks, and separators. Rocsole aims to support automated, digitalized, and unmanned platforms, enhancing monitoring capabilities for tanks, separators, caissons, desalters, and pipelines.

Rocsole serves clients in various sectors, including oil, gas, chemicals, mining, pulp and paper, semiconductors, food processing, energy storage, pharmaceuticals, and fast-moving consumer goods. The company operates in the global market, providing solutions that optimize production yield and extend pipeline cleaning cycles, thereby reducing deferred production and treatment costs for wastewater.

The business model is centered around providing high-tech imaging solutions and services that enable clients to optimize their processes and reduce costs. Rocsole generates revenue through the sale of its imaging technology and associated services, including installation, maintenance, and data analysis.

Keywords: smart process imaging, AI deep learning, OPEX reduction, unplanned shutdowns, product quality, oil and gas, offshore pipelines, onshore pipelines, automated platforms, digitalized monitoring.

Tech stack

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