Qlucore
Financials
Estimates*
EUR | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|---|
Revenues | 1.0m | 1.0m | 1.8m | 1.4m | 1.6m | 1.4m | 1.6m |
% growth | 55 % | - | 76 % | (19 %) | 9 % | (10 %) | 13 % |
EBITDA | (<1m) | <1m | <1m | (<1m) | (<1m) | (1.3m) | (1.2m) |
% EBITDA margin | (1 %) | 10 % | 22 % | (23 %) | (57 %) | (94 %) | (78 %) |
Profit | - | - | <1m | (<1m) | (1.3m) | (1.8m) | (1.7m) |
% profit margin | - | - | 8 % | (47 %) | (83 %) | (126 %) | (109 %) |
EV / revenue | - | - | - | - | 1.5x | -0.9x | 0.4x |
EV / EBITDA | - | - | - | - | -2.7x | 0.9x | -0.6x |
Source: Dealroom estimates
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
N/A | $650k | Angel | |
$3.5m | Late VC | ||
N/A | N/A | IPO | |
* | SEK200k | Grant | |
* | €2.5m | Grant | |
Total Funding | €6.3m |
Recent News about Qlucore
EditQlucore is a dynamic startup that specializes in advanced data analysis software, primarily serving the scientific research and healthcare sectors. The company originated from a research project at Lund University in Sweden, where it tackled the challenge of managing and interpreting large volumes of complex data generated by gene expression analysis.
Qlucore's primary product is a software platform that enables scientists and researchers to perform sophisticated bioinformatics analysis. This software is particularly useful in the fields of precision medicine and cancer diagnostics. It allows users to visualize data in real-time, making it easier to identify patterns and insights that can accelerate research and improve diagnostic accuracy. The platform is flexible, supporting custom R scripts for tailored analysis needs.
The company operates in the bioinformatics and healthcare technology market, targeting clients such as academic researchers, pharmaceutical companies, and clinical laboratories. These clients benefit from Qlucore's ability to simplify the analysis of complex datasets, enabling quicker and more accurate research outcomes.
Qlucore's business model is based on software licensing. Clients purchase licenses to use the software, which can be customized to fit their specific needs. This model ensures a steady revenue stream from both new clients and renewals from existing users.
In summary, Qlucore makes money by providing a powerful, user-friendly tool that helps scientists and healthcare professionals analyze complex biological data more efficiently. This not only accelerates research but also enhances the accuracy of diagnostics, particularly in the field of cancer.
Keywords: bioinformatics, data analysis, precision medicine, cancer diagnostics, software, visualization, research, healthcare, gene expression, Lund University.