MetaNovas Biotech
Combines AI with cutting-edge science to decipher complex disease biology and discover effective medicines.
| Date | Investors | Amount | Round |
|---|---|---|---|
| N/A | €0.0 | round | |
| investor investor | €0.0 | round | |
* | N/A | Series A | |
| Total Funding | 000k | ||
| USD | 2022 | 2023 |
|---|---|---|
| Revenues | 0000 | 0000 |
| % growth | - | 200 % |
| EBITDA | 0000 | 0000 |
| Profit | 0000 | 0000 |
| EV | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 |
Source: Dealroom estimates
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MetaNovas Biotech is a cutting-edge startup that operates at the intersection of artificial intelligence (AI) and life sciences. Established in 2021, with roots in California, USA, and Shanghai, China, the company leverages advanced AI and deep learning models to develop a diverse range of health products. These include pharmaceuticals, nutritional supplements, functional foods, and cosmetic products.
The company's business model is centered around the use of AI to analyze complex biological networks and generate new formulations for health products. This is done using a comprehensive biomedical knowledge graph and multi-omics platforms, which provide a holistic view of biological systems by integrating data from various disciplines like genomics, transcriptomics, proteomics, and metabolomics.
MetaNovas serves a broad range of clients, from patients seeking top-tier health solutions to partners in the healthcare and biomedical sectors. The company's team comprises researchers and scientists from prestigious institutions and leading biopharma and technology companies, giving it a unique edge in the market.
The company's revenue comes from the sale of its diverse product portfolio, as well as from partnerships with other companies in the healthcare and biomedical sectors. Its innovative approach to health product development, which combines AI and science, sets it apart in the market and positions it for potential growth.
Keywords: Artificial Intelligence, Life Sciences, Health Products, Pharmaceuticals, Nutritional Supplements, Functional Foods, Cosmetic Products, Multi-Omics Platforms, Biomedical Knowledge Graph, Deep Learning Models.