
Ubermetrics Technologies
The leading Content Intelligence platform for Marketing and PR experts.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
N/A | Acquisition | ||
Total Funding | 000k |






EUR | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 9 % | 5 % | (1 %) | 1 % | - | - |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% profit margin | 9 % | (13 %) | (7 %) | 16 % | 23 % | - | - |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
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Ubermetrics Technologies, a key player within the UNICEPTA Group, specializes in developing advanced technologies for real-time data analysis. Utilizing machine learning and Natural Language Processing (NLP), Ubermetrics captures and processes information from over 460 million online and offline sources. The platform is designed to handle immense data volumes, processing hundreds of pieces of content per second, and delivering insights that aid in sentiment analysis, virality detection, and strategic decision-making. Ubermetrics primarily serves large global companies and organizations, providing them with data-driven insights for their communications, marketing management, and strategic planning. The business operates in the big data and analytics market, leveraging a subscription-based model to generate revenue. Clients benefit from the platform's ability to deliver real-time results, regardless of search query volume, making it a competitive choice in the industry.
Keywords: real-time analytics, machine learning, NLP, big data, sentiment analysis, virality detection, strategic insights, global companies, subscription model, data processing.