Datumize
Financials
Estimates*
EUR | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|
Revenues | <1m | <1m | <1m | <1m | <1m | <1m |
% growth | - | 194 % | 200 % | 62 % | (39 %) | (21 %) |
EBITDA | (<1m) | (<1m) | (<1m) | (<1m) | (1.3m) | (<1m) |
% EBITDA margin | (153 %) | (292 %) | (74 %) | (62 %) | (436 %) | (162 %) |
Profit | (<1m) | (<1m) | (<1m) | (<1m) | (1.7m) | (<1m) |
% profit margin | (154 %) | (143 %) | (99 %) | (74 %) | (548 %) | (316 %) |
Source: Dealroom estimates
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
N/A | N/A | Seed | |
€15.0k | Seed | ||
€600k | Seed | ||
$1.8m | Series A | ||
* | N/A | Acquisition | |
Total Funding | €2.3m |
Recent News about Datumize
EditDatumize is a technology company specializing in data analytics and business intelligence solutions. The company focuses on transforming hidden data into actionable insights, helping businesses improve operational performance and understand customer behavior. Datumize serves a diverse range of clients across various industries, including travel, hospitality, warehousing, Industry 4.0, retail, and corporate sectors. The company operates in the global data analytics market, providing tools and services that enable organizations to harness the power of their data for strategic decision-making.
Datumize's business model revolves around offering software solutions that capture, process, and analyze data from various sources. These solutions help clients uncover valuable insights that are often hidden in their data, leading to improved efficiency, better customer experiences, and increased profitability. The company generates revenue through software licensing, subscription fees, and professional services.
Datumize is capitalized by Innvierte, an investment program of CDTI, E.P.E., which supports its growth and innovation initiatives. The company's headquarters are located in Castelldefels, Barcelona, Spain.
Keywords: data analytics, business intelligence, operational performance, customer behavior, hidden data, Industry 4.0, travel, hospitality, retail, warehousing.