
Algorithmiq
Develops algorithms to solve currently inaccessible problems in life sciences.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
investor investor investor investor investor investor investor investor | €0.0 | round | |
* | €13.7m | Series A | |
Total Funding | 000k |
EUR | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
Related Content
Algorithmiq is a Finnish startup operating in the life sciences sector, with a focus on leveraging quantum computing to solve complex problems. The company's mission is to revolutionize the life sciences industry by exploiting the potential of quantum computing, a technology that uses quantum bits (qubits) to process information at a much faster rate than traditional computers.
The team at Algorithmiq is composed of physicists, chemists, computer scientists, and entrepreneurs who are dedicated to exploring the applications of quantum computing in life sciences. They develop algorithms designed to solve life-science problems on near-term quantum computers, which are quantum computers that are currently available and can be used to solve real-world problems.
Algorithmiq operates in a niche market, serving clients in the life sciences industry who are looking for innovative solutions to complex problems. The company's business model is based on creating applications for the industry, while also conducting research on cutting-edge problems in quantum information science. This dual approach allows Algorithmiq to generate revenue while also laying the foundation for future applications and advancing our understanding of nature.
In addition to its commercial activities, Algorithmiq is committed to making quantum physics and its applications accessible to everyone. The company has created QPlayLearn, a platform that provides educational and informational material on quantum science for all levels of experience.
Keywords: Quantum Computing, Life Sciences, Algorithms, Research, Education, QPlayLearn, Quantum Information Science, Complex Systems, Computational Physics, Helsinki.