
Phenaros Pharmaceuticals
AI-driven drug discovery platform using phenomics and automation to develop therapies for unmet medical needs.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
* | SEK12.0m | Seed | |
Total Funding | 000k |
SEK | 2022 | 2023 | 2024 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | - | 5863 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
% profit margin | - | (70 %) | (52 %) |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Company filings or news article
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Phenaros Pharmaceuticals is a Swedish drug discovery company that was spun-off from Uppsala University. The company was founded by a team of researchers from the university, though their specific names are not publicly available. The founders' background in academic research at a prestigious institution like Uppsala University provides a strong scientific foundation for the company's endeavors.
The company operates in the biopharmaceutical market, with a focus on developing therapies for serious unmet medical needs. Phenaros utilizes an AI-first platform that combines phenomics, which is large-scale cell morphological profiling, with robotics and automation for intelligent experimentation. This data-centric approach allows the company to systematically engineer the data used to build its AI models, which in turn guide the drug discovery process. By using AI to analyze complex biological data, Phenaros aims to identify and develop new drug candidates more efficiently and effectively than traditional methods.
The business model of Phenaros Pharmaceuticals is centered around research and development, with the ultimate goal of commercializing the therapies it develops. This could involve partnering with larger pharmaceutical companies for clinical trials and distribution, or potentially licensing its discoveries. The company serves the broader healthcare market by addressing the need for new treatments for diseases that currently have limited or no therapeutic options.
Keywords: drug discovery, biopharmaceutical, AI-platform, phenomics, automation, robotics, cell morphological profiling, therapies, unmet medical needs, Uppsala University spin-off